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ROG JOURNEY Autumn 2026 · BO3
result vs prediction
JiJieHao#47 in the world · win 2:1
series probability
51%49%
probability at match start · final 2:1
100 Thieves#37 in the world · loss 1:2
The prediction was locked in using data as of the match start: map winrates, form and head-to-head were computed only from games before it began. This is how the model's honest accuracy is verified.
Map veto prediction
For each map — both teams' winrate over 3 months. The model guesses who bans it and who keeps it: teams remove maps where they are weaker and pull toward their strong ones.
MirageJiJieHao pick
71%62%
JiJieHao · 10 mapsedge JiJieHao +9%100 Thieves · 9 maps
Ancient100 Thieves ban
55%53%
JiJieHao · 7 mapsnearly even +2%100 Thieves · 11 maps
AnubisJiJieHao ban
58%54%
JiJieHao · 8 mapsnearly even +4%100 Thieves · 9 maps
Dust2100 Thieves pick
40%73%
JiJieHao · 6 mapsedge 100 Thieves +33%100 Thieves · 11 maps
Infernopossible decider
56%58%
JiJieHao · 5 mapsnearly even -2%100 Thieves · 8 maps
NukeJiJieHao ban
50%50%
JiJieHao · 0 mapsnearly even +0%100 Thieves · 10 maps
Cache100 Thieves ban
40%60%
JiJieHao · 6 mapsedge 100 Thieves +20%100 Thieves · 1 map
Most likely veto scenario
1. BanJiJieHao remove Nuke
2. Ban100 Thieves remove Cache
3. PickJiJieHao take Mirage
4. Pick100 Thieves take Dust2
5. Ban100 Thieves remove Ancient
6. BanJiJieHao remove Anubis
DeciderInferno (56% / 58%)
Prediction by map vs result
Probabilities were locked in using statistics as of the match start (map winrate over the 3 months before it). We compare against the actual result of each map.
Dust2prediction correct10:13
JiJieHao 18%100 Thieves 82%
The model gave 82% on 100 Thieves — the map was taken by 100 Thieves.
Cacheprediction missed13:5
JiJieHao 33%100 Thieves 67%
The model gave 67% on 100 Thieves — the map was taken by JiJieHao.
Anubisprediction correct13:9
JiJieHao 55%100 Thieves 45%
The model gave 55% on JiJieHao — the map was taken by JiJieHao.
Model check result
Model favoriteJiJieHao · 51%
Series resultJiJieHao 2:1
Series predictioncorrect
Accuracy by map2 of 3