XSE Pro League Guangzhou 2026 · BO3
result vs prediction
MIBR#12 in the world · loss 0:2series probability
29%71%
probability at match start · final 0:2
9z#17 in the world · win 2:0The 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.
MirageMIBR pick
55%33%
MIBR · 7 mapsedge MIBR +22%9z · 8 maps
Dust2MIBR ban
50%56%
MIBR · 0 mapsedge 9z +6%9z · 14 maps
InfernoMIBR ban
38%54%
MIBR · 4 mapsedge 9z +16%9z · 9 maps
Ancient9z ban
40%50%
MIBR · 6 mapsedge 9z +10%9z · 6 maps
Nukepossible decider
57%55%
MIBR · 3 mapsnearly even +2%9z · 7 maps
Overpass9z pick
40%69%
MIBR · 1 mapedge 9z +29%9z · 9 maps
Anubis9z ban
71%40%
MIBR · 3 mapsedge MIBR +31%9z · 1 map
Most likely veto scenario
1. BanMIBR remove Dust2
2. Ban9z remove Anubis
3. PickMIBR take Mirage
4. Pick9z take Overpass
5. Ban9z remove Ancient
6. BanMIBR remove Inferno
DeciderNuke (57% / 55%)
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.
Nukeprediction correct10:13
MIBR 50%9z 50%
The model gave 50% on 9z — the map was taken by 9z.
Mirageprediction missed13:16
MIBR 73%9z 27%
The model gave 73% on MIBR — the map was taken by 9z.
Model check result
Model favorite9z · 71%
Series result9z 0:2
Series predictioncorrect
Accuracy by map1 of 2