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%71.1%25.7%
UZB Uzbekistan30.6%17.8518100.0%96.0%56.3%14.5%
USA United States of America13.7%17.2217100.0%93.8%39.1%4.0%
GER Germany5.9%16.771799.9%84.8%26.0%3.3%
CHN China5.6%16.581799.9%83.6%18.8%1.2%
AZE Azerbaijan1.3%16.141699.7%74.7%8.5%0.2%
NED Netherlands0.9%16.171699.7%74.6%9.9%0.3%
FRA France0.6%15.871699.2%64.6%4.6%0.1%
ARM Armenia0.5%15.911699.2%66.0%5.2%0.1%
HUN Hungary0.3%15.881699.2%65.7%5.2%0.1%
ENG England0.2%15.581698.1%53.1%2.2%0.0%
UKR Ukraine0.1%15.531698.1%52.6%2.0%0.0%
ESP Spain0.1%15.491697.8%51.1%2.0%0.0%
POL Poland0.1%15.391597.2%47.9%1.1%0.0%
TUR Turkiye0.1%15.441597.5%48.9%1.5%0.0%

Final MP distribution — IND

Final match points — IND India0%6%12%18%24%12 MP: 0.00%1213 MP: 0.00%1314 MP: 0.10%1415 MP: 1.70%1516 MP: 8.64%1617 MP: 18.51%1718 MP: 23.74%1819 MP: 21.63%1920 MP: 15.82%2021 MP: 7.38%2122 MP: 2.49%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: 0.10%IND 15 MP: 1.70%IND 16 MP: 8.64%9IND 17 MP: 18.51%19IND 18 MP: 23.74%24IND 19 MP: 21.63%22IND 20 MP: 15.82%16IND 21 MP: 7.38%IND 22 MP: 2.49%UZB UzbekistanUZB 13 MP: 0.01%UZB 14 MP: 0.32%UZB 15 MP: 3.65%UZB 16 MP: 14.89%15UZB 17 MP: 24.87%25UZB 18 MP: 24.36%24UZB 19 MP: 17.36%17UZB 20 MP: 9.86%10UZB 21 MP: 3.72%UZB 22 MP: 0.96%USA United States of AUSA 13 MP: 0.01%USA 14 MP: 0.41%USA 15 MP: 5.75%USA 16 MP: 23.34%23USA 17 MP: 31.41%31USA 18 MP: 24.07%24USA 19 MP: 11.06%11USA 20 MP: 3.96%USA 21 MP: 0.00%USA 22 MP: 0.00%GER GermanyGER 13 MP: 0.12%GER 14 MP: 2.15%GER 15 MP: 12.98%13GER 16 MP: 30.30%30GER 17 MP: 28.48%28GER 18 MP: 15.66%16GER 19 MP: 6.97%GER 20 MP: 2.55%GER 21 MP: 0.64%GER 22 MP: 0.14%CHN ChinaCHN 13 MP: 0.10%CHN 14 MP: 1.73%CHN 15 MP: 14.52%15CHN 16 MP: 33.29%33CHN 17 MP: 31.54%32CHN 18 MP: 13.29%13CHN 19 MP: 4.32%CHN 20 MP: 1.03%CHN 21 MP: 0.19%CHN 22 MP: 0.00%NED NetherlandsNED 13 MP: 0.27%NED 14 MP: 4.44%NED 15 MP: 20.72%21NED 16 MP: 39.39%39NED 17 MP: 25.28%25NED 18 MP: 8.04%8NED 19 MP: 1.59%NED 20 MP: 0.26%NED 21 MP: 0.00%NED 22 MP: 0.00%AZE AzerbaijanAZE 13 MP: 0.27%AZE 14 MP: 3.90%AZE 15 MP: 21.16%21AZE 16 MP: 40.71%41AZE 17 MP: 25.41%25AZE 18 MP: 7.18%AZE 19 MP: 1.20%AZE 20 MP: 0.17%AZE 21 MP: 0.00%AZE 22 MP: 0.00%ARM ArmeniaARM 13 MP: 0.84%ARM 14 MP: 6.53%ARM 15 MP: 26.60%27ARM 16 MP: 38.85%39ARM 17 MP: 21.94%22ARM 18 MP: 4.41%ARM 19 MP: 0.71%ARM 20 MP: 0.11%ARM 21 MP: 0.01%ARM 22 MP: 0.00%HUN HungaryHUN 13 MP: 0.78%HUN 14 MP: 7.07%HUN 15 MP: 26.43%26HUN 16 MP: 40.20%40HUN 17 MP: 20.30%20HUN 18 MP: 4.60%HUN 19 MP: 0.54%HUN 20 MP: 0.06%HUN 21 MP: 0.00%HUN 22 MP: 0.00%FRA FranceFRA 13 MP: 0.78%FRA 14 MP: 6.67%FRA 15 MP: 27.97%28FRA 16 MP: 38.68%39FRA 17 MP: 21.31%21FRA 18 MP: 3.90%FRA 19 MP: 0.59%FRA 20 MP: 0.06%FRA 21 MP: 0.02%FRA 22 MP: 0.00%ENG EnglandENG 13 MP: 1.82%ENG 14 MP: 10.84%11ENG 15 MP: 34.19%34ENG 16 MP: 36.31%36ENG 17 MP: 14.60%15ENG 18 MP: 1.89%ENG 19 MP: 0.26%ENG 20 MP: 0.03%ENG 21 MP: 0.00%ENG 22 MP: 0.00%UKR UkraineUKR 13 MP: 1.83%UKR 14 MP: 12.26%12UKR 15 MP: 33.25%33UKR 16 MP: 37.81%38UKR 17 MP: 12.75%13UKR 18 MP: 1.88%UKR 19 MP: 0.13%UKR 20 MP: 0.01%UKR 21 MP: 0.00%UKR 22 MP: 0.00%ESP SpainESP 13 MP: 2.09%ESP 14 MP: 12.83%13ESP 15 MP: 33.84%34ESP 16 MP: 37.55%38ESP 17 MP: 11.58%12ESP 18 MP: 1.87%ESP 19 MP: 0.11%ESP 20 MP: 0.01%ESP 21 MP: 0.00%ESP 22 MP: 0.00%TUR TurkiyeTUR 13 MP: 2.35%TUR 14 MP: 13.66%14TUR 15 MP: 34.92%35TUR 16 MP: 36.99%37TUR 17 MP: 10.44%10TUR 18 MP: 1.42%TUR 19 MP: 0.07%TUR 20 MP: 0.01%TUR 21 MP: 0.00%TUR 22 MP: 0.00%SRB SerbiaSRB 13 MP: 2.33%SRB 14 MP: 13.58%14SRB 15 MP: 34.51%35SRB 16 MP: 38.02%38SRB 17 MP: 10.16%10SRB 18 MP: 1.21%SRB 19 MP: 0.05%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 = 1.424); 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