Olympiad Open 2026

Tournament model details — IND India

— every chart below follows it

Threshold probabilities

TeamP(win)E[MP]median14+ MP16+ MP18+ MP20+ MP
IND India39.9%18.4418100.0%98.2%71.0%25.6%
UZB Uzbekistan30.4%17.8518100.0%96.0%56.2%14.6%
USA United States of America13.8%17.2217100.0%93.7%39.1%3.9%
GER Germany6.0%16.781799.9%84.7%26.1%3.4%
CHN China5.6%16.581799.9%83.9%18.8%1.2%
AZE Azerbaijan1.3%16.151699.7%75.0%8.7%0.2%
NED Netherlands0.9%16.171699.7%74.6%10.0%0.3%
FRA France0.7%15.881699.2%65.0%4.7%0.1%
ARM Armenia0.5%15.901699.2%65.4%5.2%0.1%
HUN Hungary0.3%15.891699.3%66.3%5.1%0.1%
ENG England0.2%15.581698.2%52.9%2.2%0.0%
UKR Ukraine0.1%15.531698.0%52.6%2.0%0.0%
ESP Spain0.1%15.491697.7%50.6%2.0%0.0%
POL Poland0.1%15.391597.2%47.9%1.1%0.0%
TUR Turkiye0.1%15.441597.4%48.9%1.5%0.0%

Final MP distribution — IND

Final match points — IND India0%6%12%18%24%13 MP: 0.00%1314 MP: 0.13%1415 MP: 1.65%1516 MP: 8.72%1617 MP: 18.52%1718 MP: 23.69%1819 MP: 21.68%1920 MP: 15.72%2021 MP: 7.37%2122 MP: 2.52%22Expected MP 18.4 · median 18Final match points

Round trajectory — IND

MP trajectory — IND India (median, 10th–90th percentile)024681012141618202201234567891011Round (0 = before round 1; rounds already played are the known MP)dashed = mean

Team × final MP

Team × final MP (probability)13141516171819202122IND IndiaIND 13 MP: 0.00%IND 14 MP: 0.13%IND 15 MP: 1.65%IND 16 MP: 8.72%9IND 17 MP: 18.52%19IND 18 MP: 23.69%24IND 19 MP: 21.68%22IND 20 MP: 15.72%16IND 21 MP: 7.37%IND 22 MP: 2.52%UZB UzbekistanUZB 13 MP: 0.01%UZB 14 MP: 0.34%UZB 15 MP: 3.70%UZB 16 MP: 14.94%15UZB 17 MP: 24.82%25UZB 18 MP: 24.46%24UZB 19 MP: 17.15%17UZB 20 MP: 9.95%10UZB 21 MP: 3.70%UZB 22 MP: 0.93%USA United States of AUSA 13 MP: 0.01%USA 14 MP: 0.43%USA 15 MP: 5.84%USA 16 MP: 23.41%23USA 17 MP: 31.19%31USA 18 MP: 24.01%24USA 19 MP: 11.24%11USA 20 MP: 3.87%USA 21 MP: 0.00%USA 22 MP: 0.00%GER GermanyGER 13 MP: 0.10%GER 14 MP: 2.14%GER 15 MP: 13.05%13GER 16 MP: 30.16%30GER 17 MP: 28.46%28GER 18 MP: 15.74%16GER 19 MP: 6.98%GER 20 MP: 2.58%GER 21 MP: 0.64%GER 22 MP: 0.14%CHN ChinaCHN 13 MP: 0.09%CHN 14 MP: 1.72%CHN 15 MP: 14.32%14CHN 16 MP: 33.32%33CHN 17 MP: 31.77%32CHN 18 MP: 13.22%13CHN 19 MP: 4.34%CHN 20 MP: 1.02%CHN 21 MP: 0.19%CHN 22 MP: 0.00%NED NetherlandsNED 13 MP: 0.32%NED 14 MP: 4.38%NED 15 MP: 20.73%21NED 16 MP: 39.33%39NED 17 MP: 25.28%25NED 18 MP: 8.10%8NED 19 MP: 1.59%NED 20 MP: 0.27%NED 21 MP: 0.00%NED 22 MP: 0.00%AZE AzerbaijanAZE 13 MP: 0.27%AZE 14 MP: 3.79%AZE 15 MP: 20.97%21AZE 16 MP: 40.92%41AZE 17 MP: 25.36%25AZE 18 MP: 7.30%AZE 19 MP: 1.22%AZE 20 MP: 0.16%AZE 21 MP: 0.00%AZE 22 MP: 0.00%ARM ArmeniaARM 13 MP: 0.76%ARM 14 MP: 6.53%ARM 15 MP: 27.32%27ARM 16 MP: 38.45%38ARM 17 MP: 21.72%22ARM 18 MP: 4.38%ARM 19 MP: 0.71%ARM 20 MP: 0.11%ARM 21 MP: 0.01%ARM 22 MP: 0.00%HUN HungaryHUN 13 MP: 0.73%HUN 14 MP: 7.03%HUN 15 MP: 25.93%26HUN 16 MP: 40.44%40HUN 17 MP: 20.80%21HUN 18 MP: 4.50%HUN 19 MP: 0.50%HUN 20 MP: 0.06%HUN 21 MP: 0.00%HUN 22 MP: 0.00%FRA FranceFRA 13 MP: 0.73%FRA 14 MP: 6.64%FRA 15 MP: 27.63%28FRA 16 MP: 38.89%39FRA 17 MP: 21.34%21FRA 18 MP: 4.05%FRA 19 MP: 0.62%FRA 20 MP: 0.07%FRA 21 MP: 0.01%FRA 22 MP: 0.00%ENG EnglandENG 13 MP: 1.81%ENG 14 MP: 10.87%11ENG 15 MP: 34.33%34ENG 16 MP: 36.06%36ENG 17 MP: 14.73%15ENG 18 MP: 1.88%ENG 19 MP: 0.26%ENG 20 MP: 0.02%ENG 21 MP: 0.00%ENG 22 MP: 0.00%UKR UkraineUKR 13 MP: 1.90%UKR 14 MP: 12.21%12UKR 15 MP: 33.17%33UKR 16 MP: 37.99%38UKR 17 MP: 12.63%13UKR 18 MP: 1.87%UKR 19 MP: 0.14%UKR 20 MP: 0.01%UKR 21 MP: 0.00%UKR 22 MP: 0.00%ESP SpainESP 13 MP: 2.21%ESP 14 MP: 12.92%13ESP 15 MP: 34.17%34ESP 16 MP: 36.96%37ESP 17 MP: 11.64%12ESP 18 MP: 1.88%ESP 19 MP: 0.11%ESP 20 MP: 0.02%ESP 21 MP: 0.00%ESP 22 MP: 0.00%TUR TurkiyeTUR 13 MP: 2.45%TUR 14 MP: 13.37%13TUR 15 MP: 35.11%35TUR 16 MP: 37.10%37TUR 17 MP: 10.31%10TUR 18 MP: 1.47%TUR 19 MP: 0.06%TUR 20 MP: 0.01%TUR 21 MP: 0.00%TUR 22 MP: 0.00%SRB SerbiaSRB 13 MP: 2.41%SRB 14 MP: 13.47%13SRB 15 MP: 34.57%35SRB 16 MP: 37.85%38SRB 17 MP: 10.21%10SRB 18 MP: 1.31%SRB 19 MP: 0.04%SRB 20 MP: 0.00%SRB 21 MP: 0.00%SRB 22 MP: 0.00%cell = % of trials; shading saturates at 25%

Spec §10.2 visuals. p_highest_mp counts tied leaders independently (Σ = 1.423); P(win) and the equal split each sum to 1. Pairing fallbacks this run: see pairing_diagnostics.json.

in-round loop: last tick 22:50:30 · round 6: 0/412 boards scored, 0 priced by chess_model, 412 from ratings · board probabilities missing · Polymarket: websocket live, 40 legs

json · market json · latest single run