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 India32.0%18.0318100.0%96.9%60.7%17.4%
USA United States of America29.3%17.9218100.0%96.7%57.8%15.5%
UZB Uzbekistan20.7%17.4317100.0%93.6%44.1%8.6%
CHN China7.0%16.721799.9%85.5%23.5%2.4%
GER Germany4.1%16.411699.8%79.6%15.4%1.0%
AZE Azerbaijan2.6%16.321699.8%78.2%12.8%0.6%
NED Netherlands1.9%16.231699.7%75.4%11.3%0.6%
HUN Hungary0.7%15.941699.3%66.9%5.8%0.1%
FRA France0.6%15.861699.1%64.3%4.6%0.1%
ARM Armenia0.5%15.841699.1%63.6%4.5%0.1%
ESP Spain0.2%15.491697.8%50.2%1.8%0.0%
ENG England0.1%15.551698.0%52.5%2.2%0.0%
UKR Ukraine0.1%15.531698.0%51.7%2.0%0.0%
SRB Serbia0.1%15.431597.4%48.0%1.6%0.0%
POL Poland0.1%15.381597.0%46.9%1.2%0.0%

Final MP distribution — IND

Final match points — IND India0%6%12%18%25%12 MP: 0.00%1213 MP: 0.00%1314 MP: 0.15%1415 MP: 2.96%1516 MP: 12.63%1617 MP: 23.54%1718 MP: 24.60%1819 MP: 18.74%1920 MP: 11.35%2021 MP: 4.68%2122 MP: 1.34%22Expected MP 18.0 · 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: 0.15%IND 15 MP: 2.96%IND 16 MP: 12.63%13IND 17 MP: 23.54%24IND 18 MP: 24.60%25IND 19 MP: 18.74%19IND 20 MP: 11.35%11IND 21 MP: 4.68%IND 22 MP: 1.34%USA United States of AUSA 13 MP: 0.00%USA 14 MP: 0.21%USA 15 MP: 3.13%USA 16 MP: 13.97%14USA 17 MP: 24.86%25USA 18 MP: 24.57%25USA 19 MP: 17.79%18USA 20 MP: 10.39%10USA 21 MP: 4.05%USA 22 MP: 1.04%UZB UzbekistanUZB 13 MP: 0.02%UZB 14 MP: 0.49%UZB 15 MP: 5.90%UZB 16 MP: 20.51%21UZB 17 MP: 28.99%29UZB 18 MP: 22.75%23UZB 19 MP: 12.69%13UZB 20 MP: 6.18%UZB 21 MP: 2.05%UZB 22 MP: 0.41%CHN ChinaCHN 13 MP: 0.07%CHN 14 MP: 1.61%CHN 15 MP: 12.86%13CHN 16 MP: 31.72%32CHN 17 MP: 30.24%30CHN 18 MP: 15.53%16CHN 19 MP: 5.56%CHN 20 MP: 1.93%CHN 21 MP: 0.41%CHN 22 MP: 0.07%GER GermanyGER 13 MP: 0.21%GER 14 MP: 2.89%GER 15 MP: 17.32%17GER 16 MP: 35.51%36GER 17 MP: 28.70%29GER 18 MP: 11.18%11GER 19 MP: 3.15%GER 20 MP: 0.87%GER 21 MP: 0.15%GER 22 MP: 0.02%AZE AzerbaijanAZE 13 MP: 0.24%AZE 14 MP: 3.28%AZE 15 MP: 18.25%18AZE 16 MP: 37.27%37AZE 17 MP: 28.13%28AZE 18 MP: 9.82%10AZE 19 MP: 2.36%AZE 20 MP: 0.55%AZE 21 MP: 0.08%AZE 22 MP: 0.00%NED NetherlandsNED 13 MP: 0.33%NED 14 MP: 4.01%NED 15 MP: 20.22%20NED 16 MP: 37.64%38NED 17 MP: 26.53%27NED 18 MP: 8.67%9NED 19 MP: 2.02%NED 20 MP: 0.49%NED 21 MP: 0.06%NED 22 MP: 0.01%HUN HungaryHUN 13 MP: 0.71%HUN 14 MP: 6.68%HUN 15 MP: 25.69%26HUN 16 MP: 38.91%39HUN 17 MP: 22.19%22HUN 18 MP: 4.91%HUN 19 MP: 0.73%HUN 20 MP: 0.13%HUN 21 MP: 0.01%HUN 22 MP: 0.00%FRA FranceFRA 13 MP: 0.85%FRA 14 MP: 7.68%FRA 15 MP: 27.11%27FRA 16 MP: 38.72%39FRA 17 MP: 20.96%21FRA 18 MP: 4.04%FRA 19 MP: 0.54%FRA 20 MP: 0.07%FRA 21 MP: 0.00%FRA 22 MP: 0.00%ARM ArmeniaARM 13 MP: 0.86%ARM 14 MP: 7.73%ARM 15 MP: 27.79%28ARM 16 MP: 39.02%39ARM 17 MP: 20.11%20ARM 18 MP: 3.86%ARM 19 MP: 0.53%ARM 20 MP: 0.07%ARM 21 MP: 0.01%ARM 22 MP: 0.00%ENG EnglandENG 13 MP: 1.92%ENG 14 MP: 11.92%12ENG 15 MP: 33.59%34ENG 16 MP: 36.44%36ENG 17 MP: 13.88%14ENG 18 MP: 2.00%ENG 19 MP: 0.14%ENG 20 MP: 0.03%ENG 21 MP: 0.00%ENG 22 MP: 0.00%UKR UkraineUKR 13 MP: 1.92%UKR 14 MP: 11.94%12UKR 15 MP: 34.38%34UKR 16 MP: 36.54%37UKR 17 MP: 13.09%13UKR 18 MP: 1.91%UKR 19 MP: 0.11%UKR 20 MP: 0.02%UKR 21 MP: 0.00%UKR 22 MP: 0.00%ESP SpainESP 13 MP: 2.13%ESP 14 MP: 12.56%13ESP 15 MP: 35.00%35ESP 16 MP: 36.27%36ESP 17 MP: 12.09%12ESP 18 MP: 1.67%ESP 19 MP: 0.15%ESP 20 MP: 0.02%ESP 21 MP: 0.00%ESP 22 MP: 0.00%TUR TurkiyeTUR 13 MP: 2.43%TUR 14 MP: 13.26%13TUR 15 MP: 35.82%36TUR 16 MP: 36.23%36TUR 17 MP: 10.56%11TUR 18 MP: 1.48%TUR 19 MP: 0.11%TUR 20 MP: 0.01%TUR 21 MP: 0.00%TUR 22 MP: 0.00%SRB SerbiaSRB 13 MP: 2.47%SRB 14 MP: 13.54%14SRB 15 MP: 35.85%36SRB 16 MP: 36.11%36SRB 17 MP: 10.36%10SRB 18 MP: 1.44%SRB 19 MP: 0.09%SRB 20 MP: 0.02%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 = 1.434); 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