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 India32.2%18.1018100.0%97.2%62.2%19.1%
USA United States of America30.3%18.0018100.0%96.8%59.4%17.3%
UZB Uzbekistan19.6%17.5117100.0%93.8%46.6%9.9%
CHN China8.5%16.771799.9%86.0%25.2%2.9%
GER Germany3.3%16.451699.8%80.1%16.9%1.2%
AZE Azerbaijan1.8%16.211699.7%75.4%9.9%0.4%
NED Netherlands1.8%16.261699.7%75.7%12.4%0.7%
FRA France0.7%15.821699.1%62.5%3.9%0.1%
HUN Hungary0.6%15.961699.3%67.7%6.3%0.2%
ARM Armenia0.5%15.871699.2%65.0%4.8%0.1%
ENG England0.1%15.541698.1%52.0%1.8%0.0%
ESP Spain0.1%15.491697.8%50.8%1.7%0.0%
POL Poland0.1%15.381597.0%47.2%1.1%0.0%
UKR Ukraine0.1%15.521697.9%51.7%2.0%0.0%
TUR Turkiye0.1%15.441597.5%49.0%1.4%0.0%

Final MP distribution — IND

Final match points — IND India0%6%12%18%24%12 MP: 0.00%1213 MP: 0.01%1314 MP: 0.16%1415 MP: 2.59%1516 MP: 12.38%1617 MP: 22.68%1718 MP: 23.99%1819 MP: 19.09%1920 MP: 12.12%2021 MP: 5.43%2122 MP: 1.56%22Expected MP 18.1 · 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: 0.01%IND 14 MP: 0.16%IND 15 MP: 2.59%IND 16 MP: 12.38%12IND 17 MP: 22.68%23IND 18 MP: 23.99%24IND 19 MP: 19.09%19IND 20 MP: 12.12%12IND 21 MP: 5.43%IND 22 MP: 1.56%USA United States of AUSA 13 MP: 0.01%USA 14 MP: 0.19%USA 15 MP: 3.01%USA 16 MP: 13.43%13USA 17 MP: 23.91%24USA 18 MP: 23.86%24USA 19 MP: 18.25%18USA 20 MP: 11.32%11USA 21 MP: 4.66%USA 22 MP: 1.35%UZB UzbekistanUZB 13 MP: 0.02%UZB 14 MP: 0.52%UZB 15 MP: 5.61%UZB 16 MP: 19.41%19UZB 17 MP: 27.85%28UZB 18 MP: 22.79%23UZB 19 MP: 13.87%14UZB 20 MP: 7.07%UZB 21 MP: 2.36%UZB 22 MP: 0.50%CHN ChinaCHN 13 MP: 0.07%CHN 14 MP: 1.63%CHN 15 MP: 12.32%12CHN 16 MP: 31.08%31CHN 17 MP: 29.70%30CHN 18 MP: 15.97%16CHN 19 MP: 6.32%CHN 20 MP: 2.34%CHN 21 MP: 0.49%CHN 22 MP: 0.08%GER GermanyGER 13 MP: 0.19%GER 14 MP: 2.92%GER 15 MP: 16.79%17GER 16 MP: 35.47%35GER 17 MP: 27.72%28GER 18 MP: 11.91%12GER 19 MP: 3.78%GER 20 MP: 1.03%GER 21 MP: 0.17%GER 22 MP: 0.02%NED NetherlandsNED 13 MP: 0.31%NED 14 MP: 3.93%NED 15 MP: 20.00%20NED 16 MP: 37.11%37NED 17 MP: 26.24%26NED 18 MP: 9.27%9NED 19 MP: 2.46%NED 20 MP: 0.58%NED 21 MP: 0.08%NED 22 MP: 0.01%AZE AzerbaijanAZE 13 MP: 0.33%AZE 14 MP: 3.40%AZE 15 MP: 20.83%21AZE 16 MP: 38.56%39AZE 17 MP: 27.01%27AZE 18 MP: 7.74%AZE 19 MP: 1.74%AZE 20 MP: 0.34%AZE 21 MP: 0.05%AZE 22 MP: 0.00%HUN HungaryHUN 13 MP: 0.66%HUN 14 MP: 6.47%HUN 15 MP: 25.11%25HUN 16 MP: 39.69%40HUN 17 MP: 21.76%22HUN 18 MP: 5.17%HUN 19 MP: 0.93%HUN 20 MP: 0.16%HUN 21 MP: 0.02%HUN 22 MP: 0.00%ARM ArmeniaARM 13 MP: 0.83%ARM 14 MP: 7.37%ARM 15 MP: 26.81%27ARM 16 MP: 40.04%40ARM 17 MP: 20.13%20ARM 18 MP: 4.06%ARM 19 MP: 0.62%ARM 20 MP: 0.12%ARM 21 MP: 0.02%ARM 22 MP: 0.00%FRA FranceFRA 13 MP: 0.89%FRA 14 MP: 7.40%FRA 15 MP: 29.19%29FRA 16 MP: 38.57%39FRA 17 MP: 20.07%20FRA 18 MP: 3.33%FRA 19 MP: 0.46%FRA 20 MP: 0.06%FRA 21 MP: 0.00%FRA 22 MP: 0.00%ENG EnglandENG 13 MP: 1.85%ENG 14 MP: 11.59%12ENG 15 MP: 34.53%35ENG 16 MP: 36.21%36ENG 17 MP: 13.91%14ENG 18 MP: 1.69%ENG 19 MP: 0.13%ENG 20 MP: 0.02%ENG 21 MP: 0.00%ENG 22 MP: 0.00%UKR UkraineUKR 13 MP: 1.98%UKR 14 MP: 12.47%12UKR 15 MP: 33.70%34UKR 16 MP: 37.16%37UKR 17 MP: 12.62%13UKR 18 MP: 1.78%UKR 19 MP: 0.16%UKR 20 MP: 0.01%UKR 21 MP: 0.00%UKR 22 MP: 0.00%ESP SpainESP 13 MP: 2.12%ESP 14 MP: 12.86%13ESP 15 MP: 34.14%34ESP 16 MP: 37.35%37ESP 17 MP: 11.68%12ESP 18 MP: 1.63%ESP 19 MP: 0.10%ESP 20 MP: 0.01%ESP 21 MP: 0.00%ESP 22 MP: 0.00%TUR TurkiyeTUR 13 MP: 2.41%TUR 14 MP: 13.48%13TUR 15 MP: 34.99%35TUR 16 MP: 37.27%37TUR 17 MP: 10.30%10TUR 18 MP: 1.35%TUR 19 MP: 0.07%TUR 20 MP: 0.00%TUR 21 MP: 0.00%TUR 22 MP: 0.00%SRB SerbiaSRB 13 MP: 2.50%SRB 14 MP: 13.68%14SRB 15 MP: 35.42%35SRB 16 MP: 36.73%37SRB 17 MP: 10.29%10SRB 18 MP: 1.20%SRB 19 MP: 0.04%SRB 20 MP: 0.01%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 = 1.410); P(win) and the equal split each sum to 1. Pairing fallbacks this run: see pairing_diagnostics.json.

in-round loop: last tick 23:40:51 · 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