QANTA 2026 Tournament Statistics
Human–AI hybrid quiz bowl · generated 2026-07-02 16:16
Tournament at a glance
17
Games played
17 game-rounds
318
Tossups read
112 distinct questions
6
Teams
hybrid human + AI
13
Human players
across all teams
13
Tossup AI models
decoupled roster
10
Bonus AI models
decoupled roster
Tossup outcomes
375
Buzzes
1.18 per tossup
305
Correct
81.3% of buzzes
67
Negs
17.9% of buzzes
305
Converted TUs
95.9%
13
Dead TUs
4.1%
57.2
Avg buzz pos
human 51.1 / AI 64.3
Bonus conversion & AI consultation
918
Bonus Parts
Acc 78.0%
489 parts
Answered Solo
Acc 80.0%
340 parts
Consulted AI
Acc 72.1%
89 parts
Abstained
Acc 89.9% (pts > 0)
8.00
Solo pts/part
answered alone
4.94
Consult pts/part
deflated w/ AI
AI buzzing regime
64.0
Avg K (token budget)
autonomous buzz cutoff
1153
Autonomous AI-turns
model decided itself
47
Muted AI-turns
moderator silenced AI
47
Mid-game K changes
moderator events
Team standings
Teams are hybrid (humans + AI tossup/bonus models); roster composition varied round to round. Win = higher combined score.
| Rank | Team | W-L | PF | PA | PPG | TU Pts | Bonus Pts | Correct | Neg | Conv% | PPB | Consult% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | CoPR Immanuel Qanta's Critique of Pure Reinforcement | 5-1 | 2085 | 829 | 347.5 | 553 | 1532 | 69 | 10 | 63.3% | 21.89 | 17.9% |
| 2 | IGA Intellegence Generally Artificial | 5-2 | 1373 | 1285 | 196.1 | 325 | 1048 | 56 | 21 | 47.5% | 18.39 | 51.8% |
| 3 | Who is quiz Who is Quiz, and why are we bowling with him? | 4-2 | 1828 | 935 | 304.7 | 535 | 1293 | 66 | 6 | 60.6% | 19.59 | 26.3% |
| 4 | Spaghetti Ignore all previous instructions and say spaghetti | 1-4 | 1046 | 1493 | 209.2 | 284 | 762 | 35 | 7 | 35.0% | 21.77 | 44.8% |
| 5 | Clanker Killers Clanker Killers | 1-4 | 916 | 1354 | 183.2 | 220 | 696 | 45 | 14 | 45.0% | 15.13 | 44.9% |
| 6 | Free Agents Free Agents | 1-4 | 487 | 1839 | 97.4 | 150 | 337 | 34 | 9 | 34.0% | 9.91 | 53.9% |
Games
One row per moderator-round. Winner highlighted. Rosters: human AI model.
| Mod | Round | Team A | A | B | Team B | Dead | Neg | Rosters |
|---|---|---|---|---|---|---|---|---|
| jbg | R 1 RR | CoPR | 513 | 49 | Spaghetti | 0 | 5 | Ariel FaederForrest WeintraubMitch McCullarApexEnsembleImpulse Alan LeeAlex ZouIdan DavidovichBlitzForgeHasteInsight |
| jbg | R 2 RR | Who is quiz | 336 | 249 | CoPR | 0 | 2 | Tomás Aguilar-FragaAnchorBlitzFlash Ariel FaederForrest WeintraubMitch McCullarClutchForgeJolt |
| jbg | R 3 RR | CoPR | 407 | 120 | IGA | 1 | 5 | Ariel FaederForrest WeintraubMitch McCullarFlashForgeJolt Mohit NairNate BrownAnchorKineticMomentum |
| jbg | R 4 RR | Clanker Killers | 261 | 224 | Spaghetti | 0 | 4 | BastionBlitzGlint Alan LeeAlex ZouApexEnsembleImpulse |
| jbg | R 5 RR | Spaghetti | 247 | 351 | IGA | 1 | 4 | Alan LeeAlex ZouApexEnsembleMomentum Angelo PanNate BrownAnchorImpulseKinetic |
| mgor | R 1 RR | Clanker Killers | 156 | 395 | Who is quiz | 0 | 6 | John GambleWilliam CowperthwaitBastionGlintJolt Tomás Aguilar-FragaAnchorFlashLaser |
| mgor | R 2 RR | Spaghetti | 339 | 66 | Free Agents | 0 | 3 | Alan LeeAlex ZouIdan DavidovichApexEnsembleGlint JayCoreImpulseJunctionLaser |
| mgor | R 3 RR | Free Agents | 205 | 117 | Clanker Killers | 1 | 4 | JayCoreDashGuild William CowperthwaitBastionBlitzGlint |
| mgor | R 4 RR | Who is quiz | 221 | 229 | IGA | 0 | 4 | Tomás Aguilar-FragaClutchHiveLaser Angelo PanAnchorKineticMomentum |
| mgor | R 5 RR | Who is quiz | 559 | 19 | Free Agents | 0 | 1 | Tomás Aguilar-FragaFlashForgeLaser DashEdgeGuild |
| mgor | R 6 Semi | Who is quiz | 15 | 95 | IGA | 4 | 2 | Tomás Aguilar-Fraga Angelo PanMohit NairNate Brown |
| mgor | R 7 Final | IGA | 55 | 85 | CoPR | 4 | 2 | Nate Brown Ariel FaederForrest WeintraubMitch McCullar |
| tianyi | R 1 RR | Free Agents | 162 | 274 | IGA | 0 | 8 | JayDashKinetic Angelo PanMohit NairNate BrownClutchEdgeGuild |
| tianyi | R 2 RR | IGA | 249 | 148 | Clanker Killers | 2 | 8 | Angelo PanNate BrownGuildKineticMomentum William CowperthwaitBastionDashEdge |
| tianyi | R 3 RR | Who is quiz | 302 | 187 | Spaghetti | 0 | 2 | Tomás Aguilar-FragaClutchInsightLaser Alan LeeAlex ZouApexEnsembleImpulse |
| tianyi | R 4 RR | CoPR | 550 | 35 | Free Agents | 0 | 4 | Ariel FaederForrest WeintraubMitch McCullarFlashForgeJolt DashEdgeGuildInsight |
| tianyi | R 5 RR | Clanker Killers | 234 | 281 | CoPR | 0 | 3 | William CowperthwaitBastionBlitzGlint Ariel FaederForrest WeintraubMitch McCullarClutchDataJolt |
Round-by-Round Details
Each game is expanded with per-player tossup performance and per-team bonus strategy breakdown. Sorted by round label, then moderator. No question-category metadata is available in this dataset.
R 1 RR
jbg CoPR 513 vs 49 Spaghetti
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Forrest Weintraub | CoPR | 8 | 7 | 1 | 65 | 40.9 | 87.5% |
| Mitch McCullar | CoPR | 5 | 4 | 1 | 35 | 47.4 | 80.0% |
| Ariel Faeder | CoPR | 3 | 3 | 0 | 30 | 70.7 | 100.0% |
| Alex Zou | Spaghetti | 2 | 2 | 0 | 20 | 88.5 | 100.0% |
| Alan Lee | Spaghetti | 2 | 1 | 1 | 5 | 58.0 | 50.0% |
| Idan Davidovich | Spaghetti | 1 | 0 | 1 | -5 | 23.0 | 0.0% |
| HW Apex | CoPR | 3 | 3 | 0 | 12 | 78.0 | 100.0% |
| HW Impulse | CoPR | 0 | 0 | 0 | 0 | — | — |
| HW Blitz | Spaghetti | 0 | 0 | 0 | 0 | — | — |
| HW Haste | Spaghetti | 1 | 0 | 1 | -5 | 79.0 | 0.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| CoPR | own | 34 | 31 | 91.2% | 9.12 | 310 |
| CoPR | consult ai | 12 | 8 | 66.7% | 4.67 | 56 |
| CoPR | abstain | 5 | 5 | 100.0% | 1.00 | 5 |
| Spaghetti | own | 3 | 1 | 33.3% | 3.33 | 10 |
| Spaghetti | consult ai | 6 | 4 | 66.7% | 4.00 | 24 |
mgor Clanker Killers 156 vs 395 Who is quiz
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Tomás Aguilar-Fraga | Who is quiz | 9 | 8 | 1 | 75 | 64.1 | 88.9% |
| William Cowperthwait | Clanker Killers | 1 | 1 | 0 | 10 | 21.0 | 100.0% |
| John Gamble | Clanker Killers | 1 | 0 | 1 | -5 | 22.0 | 0.0% |
| MW Glint | Clanker Killers | 11 | 7 | 4 | 15 | 51.3 | 63.6% |
| MW Flash | Who is quiz | 2 | 2 | 0 | 10 | 57.0 | 100.0% |
| HW Laser | Who is quiz | 2 | 2 | 0 | 10 | 64.5 | 100.0% |
| HW Jolt | Clanker Killers | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Who is quiz | own | 24 | 23 | 95.8% | 9.58 | 230 |
| Who is quiz | consult ai | 11 | 10 | 90.9% | 6.36 | 70 |
| Who is quiz | abstain | 1 | 0 | 0.0% | 0.00 | 0 |
| Clanker Killers | own | 13 | 10 | 76.9% | 7.69 | 100 |
| Clanker Killers | consult ai | 10 | 6 | 60.0% | 3.60 | 36 |
| Clanker Killers | abstain | 1 | 0 | 0.0% | 0.00 | 0 |
tianyi Free Agents 162 vs 274 IGA
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Mohit Nair | IGA | 2 | 2 | 0 | 20 | 123.5 | 100.0% |
| Angelo Pan | IGA | 4 | 2 | 2 | 10 | 40.5 | 50.0% |
| Jay | Free Agents | 1 | 1 | 0 | 10 | 31.0 | 100.0% |
| Nate Brown | IGA | 2 | 1 | 1 | 5 | 69.5 | 50.0% |
| HW Edge | IGA | 5 | 5 | 0 | 25 | 81.4 | 100.0% |
| MW Kinetic | Free Agents | 14 | 9 | 5 | 20 | 51.0 | 64.3% |
| HW Clutch | IGA | 0 | 0 | 0 | 0 | — | — |
| HW Dash | Free Agents | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| IGA | own | 15 | 13 | 86.7% | 8.67 | 130 |
| IGA | consult ai | 15 | 14 | 93.3% | 5.60 | 84 |
| Free Agents | own | 16 | 12 | 75.0% | 7.50 | 120 |
| Free Agents | consult ai | 10 | 1 | 10.0% | 0.80 | 8 |
| Free Agents | abstain | 4 | 4 | 100.0% | 1.00 | 4 |
R 2 RR
jbg Who is quiz 336 vs 249 CoPR
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Tomás Aguilar-Fraga | Who is quiz | 6 | 6 | 0 | 60 | 43.8 | 100.0% |
| Mitch McCullar | CoPR | 4 | 4 | 0 | 40 | 41.5 | 100.0% |
| Ariel Faeder | CoPR | 1 | 1 | 0 | 10 | 40.0 | 100.0% |
| Forrest Weintraub | CoPR | 2 | 1 | 1 | 5 | 47.0 | 50.0% |
| MW Flash | Who is quiz | 6 | 5 | 1 | 35 | 79.7 | 83.3% |
| HW Clutch | CoPR | 2 | 2 | 0 | 8 | 105.0 | 100.0% |
| HW Jolt | CoPR | 1 | 1 | 0 | 4 | 81.0 | 100.0% |
| HW Blitz | Who is quiz | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Who is quiz | own | 23 | 19 | 82.6% | 8.26 | 190 |
| Who is quiz | consult ai | 8 | 7 | 87.5% | 6.12 | 49 |
| Who is quiz | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
| CoPR | own | 14 | 13 | 92.9% | 9.29 | 130 |
| CoPR | consult ai | 10 | 7 | 70.0% | 4.90 | 49 |
| CoPR | abstain | 3 | 3 | 100.0% | 1.00 | 3 |
mgor Spaghetti 339 vs 66 Free Agents
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Alex Zou | Spaghetti | 6 | 6 | 0 | 60 | 66.7 | 100.0% |
| Idan Davidovich | Spaghetti | 1 | 1 | 0 | 10 | 68.0 | 100.0% |
| Alan Lee | Spaghetti | 1 | 1 | 0 | 10 | 74.0 | 100.0% |
| Jay | Free Agents | 3 | 1 | 2 | 0 | 47.0 | 33.3% |
| HW Impulse | Free Agents | 6 | 6 | 0 | 30 | 92.5 | 100.0% |
| HW Apex | Spaghetti | 2 | 2 | 0 | 10 | 104.0 | 100.0% |
| HW Laser | Free Agents | 2 | 2 | 0 | 10 | 64.0 | 100.0% |
| MW Glint | Spaghetti | 2 | 1 | 1 | 0 | 53.0 | 50.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Spaghetti | own | 13 | 13 | 100.0% | 10.00 | 130 |
| Spaghetti | consult ai | 20 | 17 | 85.0% | 5.95 | 119 |
| Free Agents | own | 2 | 1 | 50.0% | 5.00 | 10 |
| Free Agents | consult ai | 9 | 0 | 0.0% | 0.00 | 0 |
| Free Agents | abstain | 16 | 16 | 100.0% | 1.00 | 16 |
tianyi IGA 249 vs 148 Clanker Killers
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Nate Brown | IGA | 4 | 3 | 1 | 25 | 41.2 | 75.0% |
| William Cowperthwait | Clanker Killers | 4 | 2 | 2 | 10 | 43.0 | 50.0% |
| Angelo Pan | IGA | 2 | 1 | 1 | 5 | 134.0 | 50.0% |
| HW Edge | Clanker Killers | 4 | 4 | 0 | 20 | 139.2 | 100.0% |
| MW Kinetic | IGA | 12 | 8 | 4 | 20 | 53.4 | 66.7% |
| HW Dash | Clanker Killers | 0 | 0 | 0 | 0 | — | — |
| HW Momentum | IGA | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Clanker Killers | own | 5 | 4 | 80.0% | 8.00 | 40 |
| Clanker Killers | consult ai | 14 | 11 | 78.6% | 5.50 | 77 |
| Clanker Killers | abstain | 2 | 1 | 50.0% | 0.50 | 1 |
| IGA | own | 13 | 10 | 76.9% | 7.69 | 100 |
| IGA | consult ai | 22 | 14 | 63.6% | 4.45 | 98 |
| IGA | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
R 3 RR
jbg CoPR 407 vs 120 IGA
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Forrest Weintraub | CoPR | 7 | 6 | 1 | 55 | 48.7 | 85.7% |
| Mitch McCullar | CoPR | 4 | 4 | 0 | 40 | 31.8 | 100.0% |
| Ariel Faeder | CoPR | 2 | 2 | 0 | 20 | 16.5 | 100.0% |
| Nate Brown | IGA | 1 | 1 | 0 | 10 | 28.0 | 100.0% |
| Mohit Nair | IGA | 1 | 0 | 1 | -5 | 34.0 | 0.0% |
| MW Kinetic | IGA | 8 | 5 | 3 | 25 | 59.6 | 62.5% |
| HW Jolt | CoPR | 2 | 1 | 0 | 4 | 70.5 | 50.0% |
| MW Flash | CoPR | 0 | 0 | 0 | 0 | — | — |
| HW Momentum | IGA | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| CoPR | own | 29 | 23 | 79.3% | 7.93 | 230 |
| CoPR | consult ai | 8 | 8 | 100.0% | 7.00 | 56 |
| CoPR | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
| IGA | own | 7 | 4 | 57.1% | 5.71 | 40 |
| IGA | consult ai | 10 | 7 | 70.0% | 4.90 | 49 |
| IGA | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
mgor Free Agents 205 vs 117 Clanker Killers
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Jay | Free Agents | 3 | 3 | 0 | 30 | 58.0 | 100.0% |
| William Cowperthwait | Clanker Killers | 5 | 2 | 3 | 5 | 71.0 | 40.0% |
| HW Dash | Free Agents | 9 | 8 | 1 | 35 | 66.4 | 88.9% |
| HW Blitz | Clanker Killers | 7 | 6 | 0 | 30 | 62.6 | 85.7% |
| MW Glint | Clanker Killers | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Clanker Killers | own | 8 | 5 | 62.5% | 6.25 | 50 |
| Clanker Killers | consult ai | 11 | 4 | 36.4% | 2.55 | 28 |
| Clanker Killers | abstain | 5 | 4 | 80.0% | 0.80 | 4 |
| Free Agents | own | 3 | 3 | 100.0% | 10.00 | 30 |
| Free Agents | consult ai | 26 | 18 | 69.2% | 4.15 | 108 |
| Free Agents | abstain | 4 | 2 | 50.0% | 0.50 | 2 |
tianyi Who is quiz 302 vs 187 Spaghetti
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Tomás Aguilar-Fraga | Who is quiz | 11 | 10 | 1 | 95 | 45.2 | 90.9% |
| Alex Zou | Spaghetti | 5 | 4 | 1 | 35 | 63.6 | 80.0% |
| Alan Lee | Spaghetti | 1 | 1 | 0 | 10 | 31.0 | 100.0% |
| HW Laser | Who is quiz | 3 | 3 | 0 | 15 | 66.3 | 100.0% |
| HW Apex | Spaghetti | 2 | 2 | 0 | 10 | 61.5 | 100.0% |
| HW Clutch | Who is quiz | 0 | 0 | 0 | 0 | — | — |
| HW Impulse | Spaghetti | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Who is quiz | own | 23 | 17 | 73.9% | 7.39 | 170 |
| Who is quiz | consult ai | 2 | 1 | 50.0% | 4.50 | 9 |
| Who is quiz | abstain | 14 | 13 | 92.9% | 0.93 | 13 |
| Spaghetti | own | 10 | 8 | 80.0% | 8.00 | 80 |
| Spaghetti | consult ai | 8 | 7 | 87.5% | 6.12 | 49 |
| Spaghetti | abstain | 3 | 3 | 100.0% | 1.00 | 3 |
R 4 RR
jbg Clanker Killers 261 vs 224 Spaghetti
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Alan Lee | Spaghetti | 3 | 3 | 0 | 30 | 54.3 | 100.0% |
| Alex Zou | Spaghetti | 4 | 3 | 1 | 25 | 60.5 | 75.0% |
| MW Glint | Clanker Killers | 15 | 12 | 3 | 81 | 54.5 | 80.0% |
| HW Blitz | Clanker Killers | 1 | 1 | 0 | 4 | 91.0 | 100.0% |
| HW Apex | Spaghetti | 1 | 1 | 0 | 4 | 105.0 | 100.0% |
| HW Impulse | Spaghetti | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Clanker Killers | own | 17 | 8 | 47.1% | 4.71 | 80 |
| Clanker Killers | consult ai | 17 | 13 | 76.5% | 5.35 | 91 |
| Clanker Killers | abstain | 5 | 5 | 100.0% | 1.00 | 5 |
| Spaghetti | own | 15 | 13 | 86.7% | 8.67 | 130 |
| Spaghetti | consult ai | 6 | 5 | 83.3% | 5.83 | 35 |
mgor Who is quiz 221 vs 229 IGA
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Tomás Aguilar-Fraga | Who is quiz | 6 | 6 | 0 | 60 | 64.2 | 100.0% |
| Angelo Pan | IGA | 3 | 1 | 2 | 0 | 44.0 | 33.3% |
| MW Kinetic | IGA | 10 | 9 | 1 | 40 | 51.5 | 90.0% |
| HW Laser | Who is quiz | 5 | 4 | 1 | 15 | 51.2 | 80.0% |
| HW Clutch | Who is quiz | 0 | 0 | 0 | 0 | — | — |
| HW Momentum | IGA | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Who is quiz | own | 15 | 12 | 80.0% | 8.00 | 120 |
| Who is quiz | consult ai | 7 | 2 | 28.6% | 2.57 | 18 |
| Who is quiz | abstain | 8 | 8 | 100.0% | 1.00 | 8 |
| IGA | own | 5 | 4 | 80.0% | 8.00 | 40 |
| IGA | consult ai | 22 | 21 | 95.5% | 6.68 | 147 |
| IGA | abstain | 3 | 2 | 66.7% | 0.67 | 2 |
tianyi CoPR 550 vs 35 Free Agents
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Forrest Weintraub | CoPR | 6 | 5 | 1 | 45 | 56.2 | 83.3% |
| Mitch McCullar | CoPR | 2 | 2 | 0 | 20 | 41.0 | 100.0% |
| Ariel Faeder | CoPR | 2 | 1 | 1 | 5 | 36.0 | 50.0% |
| MW Flash | CoPR | 10 | 9 | 1 | 40 | 55.8 | 90.0% |
| HW Dash | Free Agents | 2 | 2 | 0 | 10 | 88.0 | 100.0% |
| HW Jolt | CoPR | 0 | 0 | 0 | 0 | — | — |
| HW Edge | Free Agents | 2 | 1 | 1 | 0 | 93.0 | 50.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| CoPR | own | 45 | 41 | 91.1% | 9.11 | 410 |
| CoPR | consult ai | 4 | 4 | 100.0% | 7.00 | 28 |
| CoPR | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
| Free Agents | own | 1 | 0 | 0.0% | 0.00 | 0 |
| Free Agents | consult ai | 7 | 4 | 57.1% | 3.43 | 24 |
| Free Agents | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
R 5 RR
jbg Spaghetti 247 vs 351 IGA
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Alex Zou | Spaghetti | 5 | 4 | 0 | 40 | 56.6 | 80.0% |
| Angelo Pan | IGA | 4 | 4 | 0 | 40 | 41.5 | 100.0% |
| Alan Lee | Spaghetti | 4 | 3 | 1 | 25 | 51.0 | 75.0% |
| Nate Brown | IGA | 5 | 3 | 2 | 20 | 38.8 | 60.0% |
| MW Kinetic | IGA | 6 | 5 | 1 | 35 | 54.0 | 83.3% |
| HW Apex | Spaghetti | 0 | 0 | 0 | 0 | — | — |
| HW Momentum | Spaghetti | 0 | 0 | 0 | 0 | — | — |
| HW Impulse | IGA | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Spaghetti | own | 14 | 14 | 100.0% | 10.00 | 140 |
| Spaghetti | consult ai | 7 | 6 | 85.7% | 6.00 | 42 |
| IGA | own | 17 | 15 | 88.2% | 8.82 | 150 |
| IGA | consult ai | 18 | 15 | 83.3% | 5.83 | 105 |
| IGA | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
mgor Who is quiz 559 vs 19 Free Agents
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Tomás Aguilar-Fraga | Who is quiz | 14 | 13 | 1 | 125 | 38.7 | 92.9% |
| MW Flash | Who is quiz | 6 | 6 | 0 | 30 | 52.7 | 100.0% |
| HW Dash | Free Agents | 1 | 1 | 0 | 5 | 108.0 | 100.0% |
| HW Laser | Who is quiz | 0 | 0 | 0 | 0 | — | — |
| HW Edge | Free Agents | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Who is quiz | own | 31 | 27 | 87.1% | 8.71 | 270 |
| Who is quiz | consult ai | 24 | 19 | 79.2% | 5.54 | 133 |
| Who is quiz | abstain | 2 | 1 | 50.0% | 0.50 | 1 |
| Free Agents | consult ai | 3 | 2 | 66.7% | 4.67 | 14 |
tianyi Clanker Killers 234 vs 281 CoPR
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Ariel Faeder | CoPR | 8 | 8 | 0 | 80 | 37.1 | 100.0% |
| Mitch McCullar | CoPR | 1 | 1 | 0 | 10 | 47.0 | 100.0% |
| William Cowperthwait | Clanker Killers | 2 | 1 | 1 | 5 | 37.5 | 50.0% |
| Forrest Weintraub | CoPR | 3 | 1 | 2 | 0 | 50.3 | 33.3% |
| MW Glint | Clanker Killers | 9 | 9 | 0 | 45 | 61.1 | 100.0% |
| HW Blitz | Clanker Killers | 0 | 0 | 0 | 0 | — | — |
| HW Clutch | CoPR | 0 | 0 | 0 | 0 | — | — |
| HW Jolt | CoPR | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Clanker Killers | own | 19 | 12 | 63.2% | 6.32 | 120 |
| Clanker Killers | consult ai | 10 | 9 | 90.0% | 6.30 | 63 |
| Clanker Killers | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
| CoPR | own | 25 | 18 | 72.0% | 7.20 | 180 |
| CoPR | consult ai | 3 | 1 | 33.3% | 3.00 | 9 |
| CoPR | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
R 6 Semi
mgor Who is quiz 15 vs 95 IGA
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Angelo Pan | IGA | 2 | 2 | 0 | 20 | 91.5 | 100.0% |
| Nate Brown | IGA | 2 | 2 | 0 | 20 | 77.0 | 100.0% |
| Tomás Aguilar-Fraga | Who is quiz | 2 | 1 | 1 | 5 | 68.5 | 50.0% |
| Mohit Nair | IGA | 1 | 0 | 1 | -5 | 33.0 | 0.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Who is quiz | own | 3 | 1 | 33.3% | 3.33 | 10 |
| IGA | own | 12 | 6 | 50.0% | 5.00 | 60 |
R 7 Final
mgor IGA 55 vs 85 CoPR
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Forrest Weintraub | CoPR | 2 | 2 | 0 | 20 | 28.0 | 100.0% |
| Nate Brown | IGA | 3 | 2 | 1 | 15 | 45.0 | 66.7% |
| Ariel Faeder | CoPR | 1 | 1 | 0 | 10 | 53.0 | 100.0% |
| Mitch McCullar | CoPR | 1 | 0 | 1 | -5 | 60.0 | 0.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| CoPR | own | 9 | 6 | 66.7% | 6.67 | 60 |
| IGA | own | 6 | 4 | 66.7% | 6.67 | 40 |
Human players
Tossup-only stats. PPG = tossup points / games with a buzz. Avg Pos: lower = earlier (more aggressive) buzzes.
| Player | Team | Games | TU Heard | Buzzes | Correct | Neg | Pts | PPG | Buzz% | Acc% | Avg Pos |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Tomás Aguilar-Fraga | Who is quiz | 6 | 109 | 48 | 44 | 4 | 420 | 70.0 | 44.0% | 91.7% | 50.0 |
| Forrest Weintraub | CoPR | 6 | 109 | 28 | 22 | 6 | 190 | 31.7 | 25.7% | 78.6% | 46.6 |
| Alex Zou | Spaghetti | 5 | 100 | 22 | 19 | 2 | 180 | 36.0 | 22.0% | 86.4% | 64.5 |
| Ariel Faeder | CoPR | 6 | 109 | 17 | 16 | 1 | 155 | 25.8 | 15.6% | 94.1% | 41.6 |
| Mitch McCullar | CoPR | 6 | 109 | 17 | 15 | 2 | 140 | 23.3 | 15.6% | 88.2% | 42.3 |
| Nate Brown | IGA | 6 | 118 | 17 | 12 | 5 | 95 | 15.8 | 14.4% | 70.6% | 47.9 |
| Alan Lee | Spaghetti | 5 | 100 | 11 | 9 | 2 | 80 | 16.0 | 11.0% | 81.8% | 53.5 |
| Angelo Pan | IGA | 5 | 118 | 15 | 10 | 5 | 75 | 15.0 | 12.7% | 66.7% | 60.7 |
| Jay | Free Agents | 3 | 100 | 7 | 5 | 2 | 40 | 13.3 | 7.0% | 71.4% | 49.4 |
| William Cowperthwait | Clanker Killers | 4 | 100 | 12 | 6 | 6 | 30 | 7.5 | 12.0% | 50.0% | 51.9 |
| Mohit Nair | IGA | 3 | 118 | 4 | 2 | 2 | 10 | 3.3 | 3.4% | 50.0% | 78.5 |
| Idan Davidovich | Spaghetti | 2 | 100 | 2 | 1 | 1 | 5 | 2.5 | 2.0% | 50.0% | 45.5 |
| John Gamble | Clanker Killers | 1 | 100 | 1 | 0 | 1 | -5 | -5.0 | 1.0% | 0.0% | 22.0 |
Tossup AI models
"Would-buzz%" and "Avg WB Pos" come from the per-tossup counterfactual: what every present model would have done. "Won"/"Acc%" are realized in-game stats. PPG = tossup pts / games present.
| Model | Composition | Games | Present | Would-buzz% | Avg WB Pos | Won | Win% | Correct | Acc% | Neg | Pts | PPG | Avg Pos |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MW Glint | gpt-4.1-mini | 5 | 100 | 72.0% | 30.8 | 37 | 37.0% | 29 | 78.4% | 8 | 141 | 28.2 | 55.1 |
| MW Kinetic | gpt-4.1-mini | 5 | 100 | 91.0% | 29.0 | 50 | 50.0% | 36 | 72.0% | 14 | 140 | 28.0 | 53.4 |
| MW Flash | gpt-4.1-mini | 5 | 100 | 62.0% | 37.2 | 24 | 24.0% | 22 | 91.7% | 2 | 115 | 23.0 | 61.1 |
| HW Laser | gpt-4.1-nano, gpt-4o | 5 | 100 | 100.0% | 14.9 | 12 | 12.0% | 11 | 91.7% | 1 | 50 | 10.0 | 59.3 |
| HW Dash | gpt-4.1 | 5 | 100 | 85.0% | 32.6 | 12 | 12.0% | 11 | 91.7% | 1 | 50 | 10.0 | 73.5 |
| HW Edge | gpt-4o | 4 | 80 | 75.0% | 36.6 | 11 | 13.8% | 10 | 90.9% | 1 | 45 | 11.2 | 104.5 |
| HW Apex | claude-sonnet-4-6 | 5 | 100 | 90.0% | 30.8 | 8 | 8.0% | 8 | 100.0% | 0 | 36 | 7.2 | 83.8 |
| HW Blitz | gpt-4o | 5 | 100 | 91.0% | 31.3 | 8 | 8.0% | 7 | 87.5% | 0 | 34 | 6.8 | 66.1 |
| HW Impulse | gpt-4o, gpt-4o-mini | 5 | 100 | 93.0% | 32.6 | 6 | 6.0% | 6 | 100.0% | 0 | 30 | 6.0 | 92.5 |
| HW Clutch | gpt-4.1 | 5 | 100 | 92.0% | 28.4 | 2 | 2.0% | 2 | 100.0% | 0 | 8 | 1.6 | 105.0 |
| HW Jolt | gpt-4o, gpt-4o-mini | 5 | 100 | 78.0% | 31.2 | 3 | 3.0% | 2 | 66.7% | 0 | 8 | 1.6 | 74.0 |
| HW Momentum | gpt-4.1 | 4 | 80 | 62.5% | 34.5 | 0 | 0.0% | 0 | — | 0 | 0 | 0.0 | — |
| HW Haste | gpt-4o, gpt-4o-mini | 1 | 20 | 100.0% | 13.6 | 1 | 5.0% | 0 | 0.0% | 1 | -5 | -5.0 | 79.0 |
Bonus AI models
Teams consult a bonus model on a part for deflated credit. "Acc%" = how often correct after consulting; "Flip%" estimates how often the team adopted the AI's suggestion over its own initial guess.
| Model | Composition | Consulted | Correct | Acc% | Pts/part | Pts | Flip% |
|---|---|---|---|---|---|---|---|
| HW Guild | gpt-4.1 | 73 | 52 | 71.2% | 4.49 | 328 | 1.4% |
| HW Anchor | gpt-4o | 69 | 60 | 87.0% | 6.09 | 420 | 17.4% |
| HW Bastion | gpt-4.1-mini, gpt-4o | 62 | 43 | 69.4% | 4.76 | 295 | 0.0% |
| HW Ensemble | gpt-4o | 53 | 43 | 81.1% | 5.68 | 301 | 11.3% |
| HW Forge | gpt-4o | 52 | 42 | 80.8% | 5.58 | 290 | 13.5% |
| LW Core | qb-yi15-9b | 35 | 18 | 51.4% | 3.09 | 108 | 2.9% |
| LW Insight | qb-granite31-8b | 15 | 9 | 60.0% | 3.80 | 57 | 20.0% |
| LW Junction | qb-qwen25-1_5b | 9 | 0 | 0.0% | 0.00 | 0 | 0.0% |
| LW Hive | qb-smollm2-1_7b | 7 | 2 | 28.6% | 2.57 | 18 | 14.3% |
| LW Data | qb-hermes3-llama8b | 3 | 1 | 33.3% | 3.00 | 9 | 0.0% |
Bonus strategy — tournament-wide
On each bonus part a team chooses: answer on its own, consult an AI model (deflated points), or abstain. Abstain accuracy = parts where pts > 0.
| Decision | Parts | Share | Correct | Acc% | Avg Pts | Total Pts |
|---|---|---|---|---|---|---|
| own | 489 | 53.3% | 391 | 80.0% | 8.00 | 3910 |
| consult ai | 340 | 37.0% | 245 | 72.1% | 4.94 | 1678 |
| abstain | 89 | 9.7% | 80 | 89.9% | 0.90 | 80 |
Where bonus points come from
Bonus strategy — by team
| Team | Solo | Solo% | Solo Acc | Solo Pts/p | Consult | Consult% | Consult Acc | Consult Pts/p | Abstain | Abstain% | Abstain Acc | Bonus Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Clanker Killers | 62 | 44.9% | 62.9% | 6.29 | 62 | 44.9% | 69.4% | 4.76 | 14 | 10.1% | 78.6% | 696 |
| CoPR | 156 | 75.4% | 84.6% | 8.46 | 37 | 17.9% | 75.7% | 5.35 | 14 | 6.8% | 100.0% | 1532 |
| Free Agents | 22 | 21.6% | 72.7% | 7.27 | 55 | 53.9% | 45.5% | 2.80 | 25 | 24.5% | 92.0% | 337 |
| IGA | 75 | 44.6% | 74.7% | 7.47 | 87 | 51.8% | 81.6% | 5.55 | 6 | 3.6% | 83.3% | 1048 |
| Spaghetti | 55 | 52.4% | 89.1% | 8.91 | 47 | 44.8% | 83.0% | 5.72 | 3 | 2.9% | 100.0% | 762 |
| Who is quiz | 119 | 60.1% | 83.2% | 8.32 | 52 | 26.3% | 75.0% | 5.37 | 27 | 13.6% | 88.9% | 1293 |
Questions
Each question was read in multiple games. Sorted by earliest average first buzz (most accessible first). No category metadata in the source CSV files.
| Answer line | Plays | Buzzed | Dead | Neg | Conv% | Avg 1st Pos |
|---|---|---|---|---|---|---|
| temperature | 1 | 1 | 0 | 0 | 100.0% | 12.0 |
| Context-free languages or context free | 1 | 1 | 0 | 1 | 100.0% | 15.0 |
| Soviet Union [or the U.S.S.R.] | 3 | 3 | 0 | 0 | 100.0% | 19.7 |
| The Jackbox Party Pack | 3 | 2 | 1 | 1 | 66.7% | 22.0 |
| Enigma machine | 1 | 1 | 0 | 0 | 100.0% | 22.0 |
| stratovolcano [accept composite volcano] | 1 | 1 | 0 | 1 | 100.0% | 23.0 |
| American Flags | 3 | 3 | 0 | 1 | 100.0% | 25.7 |
| Mexico | 3 | 3 | 0 | 0 | 100.0% | 29.3 |
| The Night Watch | 3 | 3 | 0 | 0 | 100.0% | 29.7 |
| New York City | 3 | 3 | 0 | 2 | 100.0% | 30.0 |
| Gray's Anatomy | 2 | 2 | 0 | 0 | 100.0% | 31.0 |
| The Super Mario Bros. Movie [accept The Mario Movie] | 3 | 3 | 0 | 0 | 100.0% | 31.3 |
| The Rite of Spring | 3 | 3 | 0 | 0 | 100.0% | 32.0 |
| The picture of Dorian Gray | 2 | 2 | 0 | 0 | 100.0% | 32.0 |
| A | 3 | 3 | 0 | 2 | 100.0% | 32.3 |
| Joseph Stalin | 3 | 3 | 0 | 0 | 100.0% | 32.3 |
| Sabzi Polo | 1 | 1 | 0 | 1 | 100.0% | 33.0 |
| Hubble parameter, Hubble constant | 1 | 1 | 0 | 1 | 100.0% | 33.0 |
| The Great Gatsby | 3 | 3 | 0 | 0 | 100.0% | 33.7 |
| The Magic Flute/Die Zauberflöte | 3 | 3 | 0 | 0 | 100.0% | 37.7 |
| predators AND prey [accept Lotka-Volterra equations] | 3 | 3 | 0 | 1 | 100.0% | 37.7 |
| Antonio Canova | 3 | 3 | 0 | 0 | 100.0% | 38.0 |
| Church | 3 | 3 | 0 | 1 | 100.0% | 39.0 |
| Aida | 3 | 3 | 0 | 0 | 100.0% | 39.7 |
| Santiago | 3 | 3 | 0 | 0 | 100.0% | 40.7 |
| Rocky Mountains | 3 | 3 | 0 | 0 | 100.0% | 41.0 |
| International Radiotelephony Spelling Alphabet or International Civil Aviation | 3 | 3 | 0 | 0 | 100.0% | 41.0 |
| The Dark Knight | 3 | 3 | 0 | 0 | 100.0% | 41.3 |
| Self-Actualization | 3 | 2 | 1 | 1 | 66.7% | 41.3 |
| Johann Wolfgang von Goethe | 3 | 3 | 0 | 0 | 100.0% | 42.3 |
| hexagon | 3 | 3 | 0 | 0 | 100.0% | 43.0 |
| Pablo Neruda | 3 | 3 | 0 | 0 | 100.0% | 43.3 |
| Black-body radiation | 1 | 1 | 0 | 0 | 100.0% | 44.0 |
| Chinatown (accept equivalents) | 3 | 3 | 0 | 0 | 100.0% | 44.7 |
| stuttering | 3 | 3 | 0 | 1 | 100.0% | 45.0 |
| _proposals_ in _Pride and Prejudice_ | 3 | 3 | 0 | 3 | 100.0% | 45.0 |
| _Around the World in 80 Days_ or _Le Tour du monde en quatre-vingts jours_ | 3 | 3 | 0 | 0 | 100.0% | 45.0 |
| The Korean War | 3 | 3 | 0 | 2 | 100.0% | 46.0 |
| yellow | 3 | 3 | 0 | 1 | 100.0% | 46.7 |
| Ali Baba (and the 40 Thieves) | 3 | 3 | 0 | 2 | 100.0% | 47.3 |
| Groundhog Day | 3 | 3 | 0 | 1 | 100.0% | 47.3 |
| Oscar Wilde | 3 | 3 | 0 | 1 | 100.0% | 47.3 |
| Battle of Waterloo | 3 | 3 | 0 | 0 | 100.0% | 47.7 |
| Don Quixote | 3 | 3 | 0 | 1 | 100.0% | 48.0 |
| Spain | 3 | 3 | 0 | 0 | 100.0% | 48.0 |
| (A / the) _mousetrap_ | 3 | 3 | 0 | 0 | 100.0% | 48.3 |
| Metropolis | 3 | 3 | 0 | 0 | 100.0% | 48.3 |
| _birth_ (accept equivalents) of _Tristram Shandy_ (prompt on partial answers) | 3 | 3 | 0 | 2 | 100.0% | 48.7 |
| rabbits [accept bunnies; accept hares] | 3 | 3 | 0 | 1 | 100.0% | 48.7 |
| Thirty-six Views of Mount _Fuji_ | 3 | 3 | 0 | 0 | 100.0% | 49.3 |
| Singapore | 3 | 3 | 0 | 0 | 100.0% | 49.3 |
| Matsuo Basho | 3 | 3 | 0 | 0 | 100.0% | 49.3 |
| Hill Valley | 3 | 3 | 0 | 0 | 100.0% | 50.3 |
| Berlin | 3 | 3 | 0 | 0 | 100.0% | 50.3 |
| Catholicism | 3 | 3 | 0 | 0 | 100.0% | 50.3 |
| Sherlock Holmes | 3 | 3 | 0 | 0 | 100.0% | 50.3 |
| George R. R. Martin [accept George Raymond Richard Martin] | 3 | 3 | 0 | 2 | 100.0% | 51.0 |
| University of _Illinois_ Urbana-Champaign | 3 | 3 | 0 | 0 | 100.0% | 51.0 |
| attention or self-attention or scaled dot product attention | 1 | 1 | 0 | 1 | 100.0% | 51.0 |
| Zimbabwe | 3 | 3 | 0 | 0 | 100.0% | 51.3 |
| Washington, D.C. | 3 | 3 | 0 | 1 | 100.0% | 51.7 |
| Falklands War | 3 | 3 | 0 | 1 | 100.0% | 51.7 |
| Donald Glover | 3 | 3 | 0 | 0 | 100.0% | 52.0 |
| 1984 | 3 | 3 | 0 | 0 | 100.0% | 52.0 |
| Cholera | 3 | 3 | 0 | 0 | 100.0% | 52.0 |
| Catch-22 | 3 | 3 | 0 | 0 | 100.0% | 52.0 |
| Disney World [accept _Walt Disney World_, _Walt Disney World Resort_] | 3 | 3 | 0 | 1 | 100.0% | 52.7 |
| Alexander von __Humboldt__ | 3 | 3 | 0 | 0 | 100.0% | 52.7 |
| Hamlet | 3 | 3 | 0 | 1 | 100.0% | 52.7 |
| Friday | 3 | 3 | 0 | 0 | 100.0% | 53.0 |
| __**French**__ or __**français**__ | 3 | 3 | 0 | 0 | 100.0% | 53.0 |
| She-Hulk: Attorney at Law | 3 | 3 | 0 | 0 | 100.0% | 53.3 |
| Rhinoceros | 3 | 3 | 0 | 0 | 100.0% | 53.3 |
| Lithuania | 3 | 3 | 0 | 0 | 100.0% | 53.7 |
| _Battle Royale_ or _Batoru Rowaiaru_ | 3 | 3 | 0 | 2 | 100.0% | 54.3 |
| Germany | 3 | 3 | 0 | 1 | 100.0% | 55.3 |
| egg | 3 | 3 | 0 | 0 | 100.0% | 56.0 |
| Rosalind Franklin | 3 | 3 | 0 | 0 | 100.0% | 56.0 |
| _Apollo_ Mission | 3 | 3 | 0 | 3 | 100.0% | 56.0 |
| New Jersey | 3 | 3 | 0 | 0 | 100.0% | 56.0 |
| Gustave Eiffel/Alexandre Gustave Eiffel | 3 | 3 | 0 | 1 | 100.0% | 56.3 |
| 1790s | 3 | 3 | 0 | 0 | 100.0% | 56.7 |
| Mexico | 3 | 3 | 0 | 1 | 100.0% | 57.3 |
| Jennie | 3 | 3 | 0 | 1 | 100.0% | 58.0 |
| pictures on the reverse of US money (accept logical equivalents, saying "reverse | 3 | 3 | 0 | 0 | 100.0% | 58.0 |
| Apple TV | 3 | 3 | 0 | 2 | 100.0% | 58.0 |
| Le Petit Prince, The Little Prince | 3 | 3 | 0 | 0 | 100.0% | 58.3 |
| Guernica | 3 | 3 | 0 | 1 | 100.0% | 58.3 |
| The Sound of Music | 3 | 3 | 0 | 0 | 100.0% | 59.3 |
| Viola | 3 | 3 | 0 | 0 | 100.0% | 59.7 |
| statistics | 1 | 1 | 0 | 1 | 100.0% | 60.0 |
| Sand Timer | 3 | 3 | 0 | 0 | 100.0% | 60.3 |
| Burj Khalifa | 3 | 3 | 0 | 1 | 100.0% | 60.3 |
| tennis | 3 | 3 | 0 | 2 | 100.0% | 60.7 |
| Gettysburg | 3 | 3 | 0 | 0 | 100.0% | 61.7 |
| Washington, D.C. | 3 | 3 | 0 | 2 | 100.0% | 62.7 |
| London | 3 | 3 | 0 | 1 | 100.0% | 62.7 |
| Andy Warhol | 3 | 3 | 0 | 0 | 100.0% | 63.3 |
| Kama Sutra | 3 | 3 | 0 | 0 | 100.0% | 64.7 |
| The Italian Job | 3 | 3 | 0 | 1 | 100.0% | 64.7 |
| faults | 1 | 1 | 0 | 0 | 100.0% | 65.0 |
| sea | 3 | 1 | 2 | 1 | 33.3% | 66.3 |
| Journey to the West | 3 | 3 | 0 | 0 | 100.0% | 67.3 |
| After Hours | 3 | 3 | 0 | 1 | 100.0% | 68.3 |
| Lady Gaga | 3 | 2 | 1 | 1 | 66.7% | 69.0 |
| Foundation | 3 | 3 | 0 | 3 | 100.0% | 69.0 |
| John Conway | 3 | 3 | 0 | 1 | 100.0% | 69.0 |
| Peter Pan | 3 | 3 | 0 | 0 | 100.0% | 69.3 |
| Jamaica | 3 | 3 | 0 | 2 | 100.0% | 70.3 |
| France | 3 | 3 | 0 | 3 | 100.0% | 72.7 |
| hemoglobin | 1 | 1 | 0 | 0 | 100.0% | 89.0 |
| sea level | 1 | 1 | 0 | 0 | 100.0% | 98.0 |
Draft Plots
Each figure plots a model across five rounds. Lower draft percentile values are better and appear higher on the chart. The red line shows the six-team online draft, and the blue line shows the four-team offline draft.
Tossup Models
Bonus Models
Tournament at a glance
10
Games played
10 game-rounds
200
Tossups read
100 distinct questions
4
Teams
hybrid human + AI
9
Human players
across all teams
13
Tossup AI models
decoupled roster
10
Bonus AI models
decoupled roster
Tossup outcomes
253
Buzzes
1.26 per tossup
195
Correct
77.1% of buzzes
53
Negs
20.9% of buzzes
195
Converted TUs
97.5%
5
Dead TUs
2.5%
56.3
Avg buzz pos
human 51.3 / AI 77.3
Bonus conversion & AI consultation
585
Bonus Parts
Acc 84.1%
277 parts
Answered Solo
Acc 88.1%
272 parts
Consulted AI
Acc 78.7%
36 parts
Abstained
Acc 94.4% (pts > 0)
8.81
Solo pts/part
answered alone
4.94
Consult pts/part
deflated w/ AI
AI buzzing regime
83.3
Avg K (token budget)
autonomous buzz cutoff
796
Autonomous AI-turns
model decided itself
4
Muted AI-turns
moderator silenced AI
22
Mid-game K changes
moderator events
Team standings
Teams are hybrid (humans + AI tossup/bonus models); roster composition varied round to round. Win = higher combined score.
| Rank | Team | W-L | PF | PA | PPG | TU Pts | Bonus Pts | Correct | Neg | Conv% | PPB | Consult% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Groove The Emperor's New Grove Dictionary of Music and Musicians | 5-0 | 1844 | 720 | 368.8 | 514 | 1330 | 64 | 19 | 64.0% | 20.78 | 42.2% |
| 2 | Neenja I QANTA Be Neenja | 3-2 | 1594 | 1099 | 318.8 | 454 | 1140 | 56 | 8 | 56.0% | 20.36 | 46.4% |
| 3 | Bank The New Asiatic Bank | 2-3 | 941 | 1818 | 188.2 | 252 | 689 | 36 | 14 | 36.0% | 19.14 | 41.7% |
| 4 | Factlike Factlike Scenario | 0-5 | 943 | 1685 | 188.6 | 283 | 660 | 39 | 12 | 39.0% | 16.92 | 58.1% |
Games
One row per moderator-round. Winner highlighted. Rosters: human AI model.
| Mod | Round | Team A | A | B | Team B | Dead | Neg | Rosters |
|---|---|---|---|---|---|---|---|---|
| jbg | R 1 RR | Bank | 266 | 233 | Factlike | 0 | 7 | Nam DangRuper PsmithBlitzDataForgeMomentum Jeremy CummingsApexGuildInsightKinetic |
| jbg | R 2 RR | Groove | 256 | 180 | Factlike | 1 | 5 | Alvin GuoKevin PengAnchorHasteImpulse Jeremy CummingsApexFlashForgeGuild |
| jbg | R 3 RR | Neenja | 294 | 187 | Factlike | 1 | 4 | Dan NiGeoffrey ChenJames OreficeBastionImpulseLaser Jeremy CummingsBlitzCoreFlashGuild |
| jbg | R 4 Semi | Neenja | 254 | 346 | Bank | 0 | 4 | Dan NiGeoffrey ChenJames OreficeBastionDashJolt Nam DangRuper PsmithAnchorFlashGlint |
| jbg | R 5 Final | Groove | 395 | 221 | Bank | 0 | 3 | Alvin GuoKevin PengAnchorClutchHaste Nam DangRuper PsmithApexBastionForgeGlint |
| mgor | R 1 RR | Groove | 269 | 165 | Neenja | 1 | 11 | Alvin GuoBryce CruiseKevin PengBastionClutchCoreEdge Dan NiGeoffrey ChenJames OreficeDashEnsembleHiveJolt |
| mgor | R 2 RR | Neenja | 479 | 36 | Bank | 0 | 3 | Dan NiGeoffrey ChenJames OreficeBastionDashLaser Ruper PsmithBlitzDataJunctionMomentum |
| mgor | R 3 RR | Bank | 72 | 457 | Groove | 1 | 6 | Nam DangRuper PsmithApexDashForgeInsight Alvin GuoBryce CruiseKevin PengAnchorGlintHaste |
| mgor | R 4 Semi | Groove | 467 | 82 | Factlike | 1 | 7 | Alvin GuoBryce CruiseKevin PengClutchForgeHaste Jeremy CummingsApexEnsembleGuildLaser |
| mgor | R 5 Final | Neenja | 402 | 261 | Factlike | 0 | 3 | Dan NiGeoffrey ChenJames OreficeBastionGlintLaser Jeremy CummingsApexFlashGuild |
Round-by-Round Details
Each game is expanded with per-player tossup performance and per-team bonus strategy breakdown. Sorted by round label, then moderator. No question-category metadata is available in this dataset.
R 1 RR
jbg Bank 266 vs 233 Factlike
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Ruper Psmith | Bank | 8 | 6 | 2 | 50 | 52.5 | 75.0% |
| Jeremy Cummings | Factlike | 8 | 6 | 2 | 50 | 45.4 | 75.0% |
| Nam Dang | Bank | 3 | 1 | 2 | 0 | 42.0 | 33.3% |
| MW Kinetic | Factlike | 3 | 2 | 1 | 11 | 79.7 | 66.7% |
| HW Momentum | Bank | 2 | 2 | 0 | 8 | 95.5 | 100.0% |
| HW Apex | Factlike | 2 | 2 | 0 | 8 | 78.0 | 100.0% |
| HW Blitz | Bank | 1 | 1 | 0 | 4 | 32.0 | 100.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Bank | own | 19 | 15 | 78.9% | 7.89 | 150 |
| Bank | consult ai | 11 | 9 | 81.8% | 4.91 | 54 |
| Factlike | own | 10 | 8 | 80.0% | 8.00 | 80 |
| Factlike | consult ai | 20 | 14 | 70.0% | 4.20 | 84 |
mgor Groove 269 vs 165 Neenja
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Bryce Cruise | Groove | 4 | 4 | 0 | 40 | 34.2 | 100.0% |
| James Orefice | Neenja | 5 | 4 | 0 | 40 | 80.0 | 80.0% |
| Alvin Guo | Groove | 7 | 4 | 3 | 25 | 38.7 | 57.1% |
| Dan Ni | Neenja | 2 | 1 | 1 | 5 | 98.5 | 50.0% |
| Geoffrey Chen | Neenja | 2 | 0 | 2 | -10 | 45.0 | 0.0% |
| Kevin Peng | Groove | 3 | 0 | 3 | -15 | 38.0 | 0.0% |
| HW Jolt | Neenja | 2 | 2 | 0 | 10 | 75.5 | 100.0% |
| HW Clutch | Groove | 5 | 3 | 2 | 5 | 76.4 | 60.0% |
| HW Edge | Groove | 1 | 1 | 0 | 5 | 79.0 | 100.0% |
| HW Dash | Neenja | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Groove | own | 21 | 17 | 81.0% | 8.10 | 170 |
| Groove | consult ai | 11 | 6 | 54.5% | 3.27 | 36 |
| Groove | abstain | 4 | 3 | 75.0% | 0.75 | 3 |
| Neenja | own | 11 | 9 | 81.8% | 8.18 | 90 |
| Neenja | consult ai | 10 | 5 | 50.0% | 3.00 | 30 |
R 2 RR
jbg Groove 256 vs 180 Factlike
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Alvin Guo | Groove | 9 | 7 | 2 | 60 | 40.7 | 77.8% |
| Kevin Peng | Groove | 3 | 2 | 0 | 20 | 110.7 | 66.7% |
| Jeremy Cummings | Factlike | 5 | 3 | 2 | 20 | 83.8 | 60.0% |
| MW Flash | Factlike | 5 | 5 | 0 | 40 | 78.4 | 100.0% |
| HW Apex | Factlike | 1 | 1 | 0 | 4 | 104.0 | 100.0% |
| HW Impulse | Groove | 0 | 0 | 0 | 0 | — | — |
| HW Haste | Groove | 2 | 1 | 1 | -1 | 92.5 | 50.0% |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Groove | own | 8 | 7 | 87.5% | 8.75 | 70 |
| Groove | consult ai | 20 | 15 | 75.0% | 5.25 | 105 |
| Groove | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
| Factlike | own | 6 | 5 | 83.3% | 8.33 | 50 |
| Factlike | consult ai | 19 | 16 | 84.2% | 3.37 | 64 |
| Factlike | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
mgor Neenja 479 vs 36 Bank
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| James Orefice | Neenja | 8 | 8 | 0 | 80 | 70.8 | 100.0% |
| Dan Ni | Neenja | 3 | 3 | 0 | 30 | 48.3 | 100.0% |
| Geoffrey Chen | Neenja | 2 | 2 | 0 | 20 | 53.0 | 100.0% |
| Ruper Psmith | Bank | 6 | 3 | 3 | 15 | 49.8 | 50.0% |
| HW Dash | Neenja | 3 | 3 | 0 | 15 | 79.0 | 100.0% |
| HW Laser | Neenja | 1 | 1 | 0 | 5 | 79.0 | 100.0% |
| HW Blitz | Bank | 0 | 0 | 0 | 0 | — | — |
| HW Momentum | Bank | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Neenja | own | 18 | 17 | 94.4% | 9.44 | 170 |
| Neenja | consult ai | 27 | 22 | 81.5% | 5.70 | 154 |
| Neenja | abstain | 6 | 5 | 83.3% | 0.83 | 5 |
| Bank | own | 3 | 1 | 33.3% | 3.33 | 10 |
| Bank | consult ai | 3 | 1 | 33.3% | 2.67 | 8 |
| Bank | abstain | 3 | 3 | 100.0% | 1.00 | 3 |
R 3 RR
jbg Neenja 294 vs 187 Factlike
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Jeremy Cummings | Factlike | 9 | 7 | 2 | 60 | 35.6 | 77.8% |
| James Orefice | Neenja | 6 | 5 | 1 | 45 | 44.8 | 83.3% |
| Dan Ni | Neenja | 3 | 2 | 1 | 15 | 77.0 | 66.7% |
| Geoffrey Chen | Neenja | 1 | 1 | 0 | 10 | 26.0 | 100.0% |
| HW Laser | Neenja | 4 | 4 | 0 | 16 | 62.5 | 100.0% |
| HW Impulse | Neenja | 0 | 0 | 0 | 0 | — | — |
| MW Flash | Factlike | 1 | 0 | 0 | 0 | 75.0 | 0.0% |
| HW Blitz | Factlike | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Neenja | own | 13 | 12 | 92.3% | 9.23 | 120 |
| Neenja | consult ai | 19 | 12 | 63.2% | 4.42 | 84 |
| Neenja | abstain | 4 | 4 | 100.0% | 1.00 | 4 |
| Factlike | own | 9 | 9 | 100.0% | 10.00 | 90 |
| Factlike | consult ai | 5 | 5 | 100.0% | 6.00 | 30 |
| Factlike | abstain | 7 | 7 | 100.0% | 1.00 | 7 |
mgor Bank 72 vs 457 Groove
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Alvin Guo | Groove | 12 | 10 | 2 | 90 | 32.2 | 83.3% |
| Bryce Cruise | Groove | 5 | 4 | 1 | 35 | 40.8 | 80.0% |
| Kevin Peng | Groove | 1 | 1 | 0 | 10 | 63.0 | 100.0% |
| Nam Dang | Bank | 1 | 1 | 0 | 10 | 140.0 | 100.0% |
| Ruper Psmith | Bank | 3 | 0 | 3 | -15 | 34.0 | 0.0% |
| HW Dash | Bank | 2 | 2 | 0 | 10 | 69.0 | 100.0% |
| HW Haste | Groove | 2 | 1 | 0 | 5 | 59.5 | 50.0% |
| HW Apex | Bank | 0 | 0 | 0 | 0 | — | — |
| MW Glint | Groove | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Groove | own | 24 | 21 | 87.5% | 8.75 | 210 |
| Groove | consult ai | 22 | 15 | 68.2% | 4.77 | 105 |
| Groove | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
| Bank | own | 7 | 6 | 85.7% | 8.57 | 60 |
| Bank | consult ai | 1 | 1 | 100.0% | 6.00 | 6 |
| Bank | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
R 4 Semi
jbg Neenja 254 vs 346 Bank
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Ruper Psmith | Bank | 7 | 5 | 2 | 40 | 46.0 | 71.4% |
| James Orefice | Neenja | 3 | 3 | 0 | 30 | 50.7 | 100.0% |
| Nam Dang | Bank | 3 | 3 | 0 | 30 | 58.3 | 100.0% |
| Dan Ni | Neenja | 2 | 2 | 0 | 20 | 108.0 | 100.0% |
| Geoffrey Chen | Neenja | 2 | 1 | 1 | 5 | 60.0 | 50.0% |
| MW Glint | Bank | 5 | 4 | 1 | 27 | 81.0 | 80.0% |
| HW Dash | Neenja | 2 | 2 | 0 | 8 | 85.5 | 100.0% |
| HW Jolt | Neenja | 0 | 0 | 0 | 0 | — | — |
| MW Flash | Bank | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Neenja | own | 11 | 10 | 90.9% | 9.09 | 100 |
| Neenja | consult ai | 13 | 13 | 100.0% | 7.00 | 91 |
| Bank | own | 19 | 15 | 78.9% | 7.89 | 150 |
| Bank | consult ai | 16 | 14 | 87.5% | 6.12 | 98 |
| Bank | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
mgor Groove 467 vs 82 Factlike
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Bryce Cruise | Groove | 10 | 7 | 2 | 60 | 48.8 | 70.0% |
| Kevin Peng | Groove | 5 | 5 | 0 | 50 | 57.4 | 100.0% |
| Jeremy Cummings | Factlike | 6 | 3 | 3 | 15 | 60.7 | 50.0% |
| Alvin Guo | Groove | 3 | 2 | 1 | 15 | 50.7 | 66.7% |
| HW Apex | Factlike | 3 | 2 | 1 | 5 | 83.3 | 66.7% |
| HW Laser | Factlike | 0 | 0 | 0 | 0 | — | — |
| HW Haste | Groove | 0 | 0 | 0 | 0 | — | — |
| HW Clutch | Groove | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Groove | own | 27 | 25 | 92.6% | 9.26 | 250 |
| Groove | consult ai | 14 | 13 | 92.9% | 6.50 | 91 |
| Groove | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
| Factlike | own | 3 | 2 | 66.7% | 6.67 | 20 |
| Factlike | consult ai | 10 | 10 | 100.0% | 4.00 | 40 |
| Factlike | abstain | 2 | 2 | 100.0% | 1.00 | 2 |
R 5 Final
jbg Groove 395 vs 221 Bank
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| Alvin Guo | Groove | 12 | 10 | 2 | 90 | 41.7 | 83.3% |
| Ruper Psmith | Bank | 6 | 5 | 1 | 45 | 58.5 | 83.3% |
| Kevin Peng | Groove | 2 | 2 | 0 | 20 | 38.5 | 100.0% |
| Nam Dang | Bank | 2 | 2 | 0 | 20 | 51.5 | 100.0% |
| MW Glint | Bank | 1 | 1 | 0 | 8 | 76.0 | 100.0% |
| HW Clutch | Groove | 0 | 0 | 0 | 0 | — | — |
| HW Haste | Groove | 0 | 0 | 0 | 0 | — | — |
| HW Apex | Bank | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Groove | own | 21 | 20 | 95.2% | 9.52 | 200 |
| Groove | consult ai | 14 | 12 | 85.7% | 6.00 | 84 |
| Groove | abstain | 1 | 1 | 100.0% | 1.00 | 1 |
| Bank | own | 10 | 10 | 100.0% | 10.00 | 100 |
| Bank | consult ai | 14 | 12 | 85.7% | 3.43 | 48 |
mgor Neenja 402 vs 261 Factlike
Tossup performance
| Player / AI | Team | Buzzes | Correct | Neg | Pts | Avg Pos | Acc% |
|---|---|---|---|---|---|---|---|
| James Orefice | Neenja | 10 | 8 | 2 | 70 | 37.9 | 80.0% |
| Jeremy Cummings | Factlike | 8 | 7 | 1 | 65 | 55.0 | 87.5% |
| Dan Ni | Neenja | 2 | 2 | 0 | 20 | 56.5 | 100.0% |
| Geoffrey Chen | Neenja | 2 | 2 | 0 | 20 | 64.0 | 100.0% |
| HW Apex | Factlike | 1 | 1 | 0 | 5 | 76.0 | 100.0% |
| MW Flash | Factlike | 0 | 0 | 0 | 0 | — | — |
| MW Glint | Neenja | 0 | 0 | 0 | 0 | — | — |
| HW Laser | Neenja | 0 | 0 | 0 | 0 | — | — |
Bonus strategy by team
| Team | Decision | Parts | Correct | Acc% | Pts/part | Total Pts |
|---|---|---|---|---|---|---|
| Neenja | own | 27 | 25 | 92.6% | 9.26 | 250 |
| Neenja | consult ai | 9 | 6 | 66.7% | 4.67 | 42 |
| Factlike | own | 10 | 10 | 100.0% | 10.00 | 100 |
| Factlike | consult ai | 14 | 13 | 92.9% | 6.50 | 91 |
Human players
Tossup-only stats. PPG = tossup points / games with a buzz. Avg Pos: lower = earlier (more aggressive) buzzes.
| Player | Team | Games | TU Heard | Buzzes | Correct | Neg | Pts | PPG | Buzz% | Acc% | Avg Pos |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alvin Guo | Groove | 5 | 100 | 43 | 33 | 10 | 280 | 56.0 | 43.0% | 76.7% | 39.0 |
| James Orefice | Neenja | 5 | 100 | 32 | 28 | 3 | 265 | 53.0 | 32.0% | 87.5% | 55.2 |
| Jeremy Cummings | Factlike | 5 | 100 | 36 | 26 | 10 | 210 | 42.0 | 36.0% | 72.2% | 52.9 |
| Ruper Psmith | Bank | 5 | 100 | 30 | 19 | 11 | 135 | 27.0 | 30.0% | 63.3% | 49.8 |
| Bryce Cruise | Groove | 3 | 100 | 19 | 15 | 3 | 135 | 45.0 | 19.0% | 78.9% | 43.6 |
| Dan Ni | Neenja | 5 | 100 | 12 | 10 | 2 | 90 | 18.0 | 12.0% | 83.3% | 75.2 |
| Kevin Peng | Groove | 5 | 100 | 14 | 10 | 3 | 85 | 17.0 | 14.0% | 71.4% | 62.4 |
| Nam Dang | Bank | 4 | 100 | 9 | 7 | 2 | 60 | 15.0 | 9.0% | 77.8% | 60.4 |
| Geoffrey Chen | Neenja | 5 | 100 | 9 | 6 | 3 | 45 | 9.0 | 9.0% | 66.7% | 52.2 |
Tossup AI models
"Would-buzz%" and "Avg WB Pos" come from the per-tossup counterfactual: what every present model would have done. "Won"/"Acc%" are realized in-game stats. PPG = tossup pts / games present.
| Model | Composition | Games | Present | Would-buzz% | Avg WB Pos | Won | Win% | Correct | Acc% | Neg | Pts | PPG | Avg Pos |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MW Flash | gpt-4.1-mini | 4 | 80 | 68.8% | 40.3 | 6 | 7.5% | 5 | 83.3% | 0 | 40 | 10.0 | 77.8 |
| MW Glint | gpt-4.1-mini | 4 | 80 | 57.5% | 27.9 | 6 | 7.5% | 5 | 83.3% | 1 | 35 | 8.8 | 80.2 |
| HW Dash | gpt-4.1 | 4 | 80 | 77.5% | 31.4 | 7 | 8.8% | 7 | 100.0% | 0 | 33 | 8.2 | 78.0 |
| HW Apex | claude-sonnet-4-6 | 6 | 120 | 80.0% | 30.8 | 7 | 5.8% | 6 | 85.7% | 1 | 22 | 3.7 | 83.7 |
| HW Laser | gpt-4.1-nano, gpt-4o | 4 | 80 | 100.0% | 14.1 | 5 | 6.2% | 5 | 100.0% | 0 | 21 | 5.2 | 65.8 |
| MW Kinetic | gpt-4.1-mini | 1 | 20 | 85.0% | 28.1 | 3 | 15.0% | 2 | 66.7% | 1 | 11 | 11.0 | 79.7 |
| HW Jolt | gpt-4o, gpt-4o-mini | 2 | 40 | 85.0% | 36.0 | 2 | 5.0% | 2 | 100.0% | 0 | 10 | 5.0 | 75.5 |
| HW Momentum | gpt-4.1 | 2 | 40 | 67.5% | 40.7 | 2 | 5.0% | 2 | 100.0% | 0 | 8 | 4.0 | 95.5 |
| HW Clutch | gpt-4.1 | 3 | 60 | 83.3% | 28.4 | 5 | 8.3% | 3 | 60.0% | 2 | 5 | 1.7 | 76.4 |
| HW Edge | gpt-4o | 1 | 20 | 70.0% | 34.2 | 1 | 5.0% | 1 | 100.0% | 0 | 5 | 5.0 | 79.0 |
| HW Blitz | gpt-4o | 3 | 60 | 78.3% | 31.0 | 1 | 1.7% | 1 | 100.0% | 0 | 4 | 1.3 | 32.0 |
| HW Haste | gpt-4o, gpt-4o-mini | 4 | 80 | 93.8% | 14.6 | 4 | 5.0% | 2 | 50.0% | 1 | 4 | 1.0 | 76.0 |
| HW Impulse | gpt-4o, gpt-4o-mini | 2 | 40 | 90.0% | 27.8 | 0 | 0.0% | 0 | — | 0 | 0 | 0.0 | — |
Bonus AI models
Teams consult a bonus model on a part for deflated credit. "Acc%" = how often correct after consulting; "Flip%" estimates how often the team adopted the AI's suggestion over its own initial guess.
| Model | Composition | Consulted | Correct | Acc% | Pts/part | Pts | Flip% |
|---|---|---|---|---|---|---|---|
| HW Bastion | gpt-4.1-mini, gpt-4o | 93 | 71 | 76.3% | 4.89 | 455 | 25.8% |
| HW Anchor | gpt-4o | 72 | 56 | 77.8% | 5.44 | 392 | 31.9% |
| HW Guild | gpt-4.1 | 68 | 58 | 85.3% | 4.54 | 309 | 14.7% |
| HW Forge | gpt-4o | 59 | 51 | 86.4% | 4.46 | 263 | 18.6% |
| LW Insight | qb-granite31-8b | 21 | 15 | 71.4% | 4.29 | 90 | 23.8% |
| HW Ensemble | gpt-4o | 20 | 15 | 75.0% | 3.50 | 70 | 10.0% |
| LW Core | qb-yi15-9b | 16 | 11 | 68.8% | 4.12 | 66 | 37.5% |
| LW Data | qb-hermes3-llama8b | 14 | 10 | 71.4% | 4.43 | 62 | 14.3% |
| LW Hive | qb-smollm2-1_7b | 10 | 5 | 50.0% | 3.00 | 30 | 20.0% |
| LW Junction | qb-qwen25-1_5b | 3 | 1 | 33.3% | 2.67 | 8 | 0.0% |
Bonus strategy — tournament-wide
On each bonus part a team chooses: answer on its own, consult an AI model (deflated points), or abstain. Abstain accuracy = parts where pts > 0.
| Decision | Parts | Share | Correct | Acc% | Avg Pts | Total Pts |
|---|---|---|---|---|---|---|
| own | 277 | 47.4% | 244 | 88.1% | 8.81 | 2440 |
| consult ai | 272 | 46.5% | 214 | 78.7% | 4.94 | 1345 |
| abstain | 36 | 6.2% | 34 | 94.4% | 0.94 | 34 |
Where bonus points come from
Bonus strategy — by team
| Team | Solo | Solo% | Solo Acc | Solo Pts/p | Consult | Consult% | Consult Acc | Consult Pts/p | Abstain | Abstain% | Abstain Acc | Bonus Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bank | 58 | 53.7% | 81.0% | 8.10 | 45 | 41.7% | 82.2% | 4.76 | 5 | 4.6% | 100.0% | 689 |
| Factlike | 38 | 32.5% | 89.5% | 8.95 | 68 | 58.1% | 85.3% | 4.54 | 11 | 9.4% | 100.0% | 660 |
| Groove | 101 | 52.6% | 89.1% | 8.91 | 81 | 42.2% | 75.3% | 5.20 | 10 | 5.2% | 90.0% | 1330 |
| Neenja | 80 | 47.6% | 91.2% | 9.12 | 78 | 46.4% | 74.4% | 5.14 | 10 | 6.0% | 90.0% | 1140 |
Questions
Each question was read in multiple games. Sorted by earliest average first buzz (most accessible first). No category metadata in the source CSV files.
| Answer line | Plays | Buzzed | Dead | Neg | Conv% | Avg 1st Pos |
|---|---|---|---|---|---|---|
| Soviet Union [or the U.S.S.R.] | 2 | 2 | 0 | 0 | 100.0% | 14.0 |
| Johann Wolfgang von Goethe | 2 | 2 | 0 | 0 | 100.0% | 14.5 |
| Berlin | 2 | 2 | 0 | 0 | 100.0% | 14.5 |
| Metropolis | 2 | 2 | 0 | 0 | 100.0% | 14.5 |
| Mexico | 2 | 2 | 0 | 0 | 100.0% | 16.0 |
| The Rite of Spring | 2 | 2 | 0 | 0 | 100.0% | 16.5 |
| The Magic Flute/Die Zauberflöte | 2 | 2 | 0 | 1 | 100.0% | 16.5 |
| American Flags | 2 | 2 | 0 | 0 | 100.0% | 20.0 |
| International Radiotelephony Spelling Alphabet or International Civil Aviation | 2 | 2 | 0 | 1 | 100.0% | 20.5 |
| The Korean War | 2 | 2 | 0 | 0 | 100.0% | 21.0 |
| A | 2 | 2 | 0 | 1 | 100.0% | 21.5 |
| pictures on the reverse of US money (accept logical equivalents, saying "reverse | 2 | 2 | 0 | 2 | 100.0% | 22.0 |
| Joseph Stalin | 2 | 2 | 0 | 1 | 100.0% | 23.0 |
| Viola | 2 | 2 | 0 | 1 | 100.0% | 24.0 |
| She-Hulk: Attorney at Law | 2 | 2 | 0 | 2 | 100.0% | 26.5 |
| stratovolcano [accept composite volcano] | 2 | 2 | 0 | 1 | 100.0% | 29.0 |
| Friday | 2 | 2 | 0 | 0 | 100.0% | 29.0 |
| The Great Gatsby | 2 | 2 | 0 | 0 | 100.0% | 29.0 |
| predators AND prey [accept Lotka-Volterra equations] | 2 | 2 | 0 | 0 | 100.0% | 29.5 |
| yellow | 2 | 2 | 0 | 0 | 100.0% | 29.5 |
| The Night Watch | 2 | 2 | 0 | 0 | 100.0% | 30.0 |
| Santiago | 2 | 2 | 0 | 0 | 100.0% | 30.5 |
| Aida | 2 | 2 | 0 | 0 | 100.0% | 35.5 |
| The Dark Knight | 2 | 2 | 0 | 1 | 100.0% | 35.5 |
| (A / the) _mousetrap_ | 2 | 2 | 0 | 2 | 100.0% | 36.0 |
| stuttering | 2 | 2 | 0 | 0 | 100.0% | 36.5 |
| Lithuania | 2 | 1 | 1 | 2 | 50.0% | 36.5 |
| The Super Mario Bros. Movie [accept The Mario Movie] | 2 | 2 | 0 | 1 | 100.0% | 37.0 |
| The Jackbox Party Pack | 2 | 2 | 0 | 0 | 100.0% | 37.0 |
| Disney World [accept _Walt Disney World_, _Walt Disney World Resort_] | 2 | 2 | 0 | 1 | 100.0% | 37.5 |
| Washington, D.C. | 2 | 2 | 0 | 0 | 100.0% | 38.5 |
| The Sound of Music | 2 | 2 | 0 | 1 | 100.0% | 39.0 |
| Le Petit Prince, The Little Prince | 2 | 2 | 0 | 0 | 100.0% | 39.5 |
| Pablo Neruda | 2 | 2 | 0 | 0 | 100.0% | 40.0 |
| Church | 2 | 2 | 0 | 0 | 100.0% | 40.0 |
| Burj Khalifa | 2 | 2 | 0 | 0 | 100.0% | 40.0 |
| Rosalind Franklin | 2 | 2 | 0 | 0 | 100.0% | 40.0 |
| Battle of Waterloo | 2 | 2 | 0 | 0 | 100.0% | 40.0 |
| Rocky Mountains | 2 | 2 | 0 | 0 | 100.0% | 41.0 |
| Antonio Canova | 2 | 2 | 0 | 1 | 100.0% | 41.0 |
| hexagon | 2 | 2 | 0 | 1 | 100.0% | 43.0 |
| Gettysburg | 2 | 2 | 0 | 0 | 100.0% | 43.5 |
| Oscar Wilde | 2 | 2 | 0 | 0 | 100.0% | 44.5 |
| Donald Glover | 2 | 2 | 0 | 0 | 100.0% | 45.0 |
| Singapore | 2 | 2 | 0 | 0 | 100.0% | 45.5 |
| New York City | 2 | 2 | 0 | 1 | 100.0% | 46.0 |
| Zimbabwe | 2 | 2 | 0 | 0 | 100.0% | 46.0 |
| Matsuo Basho | 2 | 2 | 0 | 0 | 100.0% | 46.0 |
| _Around the World in 80 Days_ or _Le Tour du monde en quatre-vingts jours_ | 2 | 2 | 0 | 0 | 100.0% | 46.5 |
| Guernica | 2 | 2 | 0 | 1 | 100.0% | 48.5 |
| Germany | 2 | 2 | 0 | 1 | 100.0% | 49.0 |
| Groundhog Day | 2 | 2 | 0 | 0 | 100.0% | 49.0 |
| After Hours | 2 | 2 | 0 | 0 | 100.0% | 49.5 |
| Jennie | 2 | 2 | 0 | 2 | 100.0% | 50.0 |
| Self-Actualization | 2 | 2 | 0 | 1 | 100.0% | 51.0 |
| 1984 | 2 | 2 | 0 | 0 | 100.0% | 52.0 |
| John Conway | 2 | 2 | 0 | 2 | 100.0% | 52.0 |
| _Apollo_ Mission | 2 | 2 | 0 | 0 | 100.0% | 52.0 |
| Alexander von __Humboldt__ | 2 | 2 | 0 | 0 | 100.0% | 52.5 |
| Journey to the West | 2 | 2 | 0 | 0 | 100.0% | 53.0 |
| Sherlock Holmes | 2 | 2 | 0 | 0 | 100.0% | 53.0 |
| rabbits [accept bunnies; accept hares] | 2 | 2 | 0 | 0 | 100.0% | 53.5 |
| egg | 2 | 1 | 1 | 1 | 50.0% | 55.0 |
| Hamlet | 2 | 2 | 0 | 2 | 100.0% | 55.5 |
| 1790s | 2 | 2 | 0 | 2 | 100.0% | 56.5 |
| Mexico | 2 | 2 | 0 | 0 | 100.0% | 56.5 |
| Thirty-six Views of Mount _Fuji_ | 2 | 2 | 0 | 1 | 100.0% | 56.5 |
| sea | 2 | 1 | 1 | 1 | 50.0% | 57.0 |
| Catch-22 | 2 | 2 | 0 | 1 | 100.0% | 58.5 |
| Catholicism | 2 | 2 | 0 | 0 | 100.0% | 59.0 |
| Cholera | 2 | 2 | 0 | 0 | 100.0% | 60.5 |
| University of _Illinois_ Urbana-Champaign | 2 | 2 | 0 | 1 | 100.0% | 61.0 |
| Falklands War | 2 | 2 | 0 | 1 | 100.0% | 61.0 |
| Lady Gaga | 2 | 2 | 0 | 0 | 100.0% | 62.0 |
| Washington, D.C. | 2 | 2 | 0 | 0 | 100.0% | 63.0 |
| Gustave Eiffel/Alexandre Gustave Eiffel | 2 | 2 | 0 | 0 | 100.0% | 63.0 |
| Sabzi Polo | 2 | 2 | 0 | 1 | 100.0% | 63.5 |
| Jamaica | 2 | 2 | 0 | 0 | 100.0% | 64.5 |
| Rhinoceros | 2 | 2 | 0 | 0 | 100.0% | 64.5 |
| __**French**__ or __**français**__ | 2 | 2 | 0 | 0 | 100.0% | 65.0 |
| Peter Pan | 2 | 2 | 0 | 0 | 100.0% | 66.0 |
| New Jersey | 2 | 2 | 0 | 1 | 100.0% | 66.0 |
| Kama Sutra | 2 | 2 | 0 | 0 | 100.0% | 68.0 |
| Chinatown (accept equivalents) | 2 | 2 | 0 | 1 | 100.0% | 68.5 |
| George R. R. Martin [accept George Raymond Richard Martin] | 2 | 2 | 0 | 1 | 100.0% | 69.5 |
| Apple TV | 2 | 2 | 0 | 1 | 100.0% | 70.0 |
| Foundation | 2 | 1 | 1 | 2 | 50.0% | 72.0 |
| London | 2 | 2 | 0 | 1 | 100.0% | 72.5 |
| _Battle Royale_ or _Batoru Rowaiaru_ | 2 | 2 | 0 | 1 | 100.0% | 73.5 |
| _proposals_ in _Pride and Prejudice_ | 2 | 1 | 1 | 1 | 50.0% | 75.5 |
| Ali Baba (and the 40 Thieves) | 2 | 2 | 0 | 0 | 100.0% | 76.0 |
| Spain | 2 | 2 | 0 | 0 | 100.0% | 76.0 |
| tennis | 2 | 2 | 0 | 0 | 100.0% | 79.0 |
| _birth_ (accept equivalents) of _Tristram Shandy_ (prompt on partial answers) | 2 | 2 | 0 | 2 | 100.0% | 80.0 |
| Andy Warhol | 2 | 2 | 0 | 0 | 100.0% | 80.0 |
| The Italian Job | 2 | 2 | 0 | 0 | 100.0% | 81.0 |
| Hill Valley | 2 | 2 | 0 | 0 | 100.0% | 82.0 |
| France | 2 | 2 | 0 | 2 | 100.0% | 84.5 |
| Don Quixote | 2 | 2 | 0 | 1 | 100.0% | 92.0 |
| Sand Timer | 2 | 2 | 0 | 0 | 100.0% | 109.0 |
Draft Plots
Each figure plots a model across five rounds. Lower draft percentile values are better and appear higher on the chart. The red line shows the six-team online draft, and the blue line shows the four-team offline draft.
Tossup Models
Bonus Models