HyperX Retake Season 12 · BO3
result vs prediction
SAW Youngsters#143 in the world · loss 1:2series probability
19%81%
probability at match start · final 1:2
GenOne#95 in the world · win 2:1The 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.
Dust2GenOne pick
43%61%
SAW Youngsters · 17 mapsedge GenOne +18%GenOne · 34 maps
InfernoSAW Youngsters pick
70%52%
SAW Youngsters · 19 mapsedge SAW Youngsters +18%GenOne · 17 maps
AncientSAW Youngsters ban
50%60%
SAW Youngsters · 10 mapsedge GenOne +10%GenOne · 21 map
NukeGenOne ban
36%41%
SAW Youngsters · 7 mapsedge GenOne +5%GenOne · 13 maps
Anubispossible decider
62%85%
SAW Youngsters · 9 mapsedge GenOne +23%GenOne · 9 maps
MirageGenOne ban
35%50%
SAW Youngsters · 16 mapsedge GenOne +15%GenOne · 0 maps
CacheSAW Youngsters ban
50%36%
SAW Youngsters · 0 mapsedge SAW Youngsters +14%GenOne · 7 maps
Most likely veto scenario
1. BanSAW Youngsters remove Cache
2. BanGenOne remove Mirage
3. PickSAW Youngsters take Inferno
4. PickGenOne take Dust2
5. BanGenOne remove Nuke
6. BanSAW Youngsters remove Ancient
DeciderAnubis (62% / 85%)
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.
Infernoprediction missed5:13
SAW Youngsters 70%GenOne 30%
The model gave 70% on SAW Youngsters — the map was taken by GenOne.
Dust2prediction missed13:9
SAW Youngsters 30%GenOne 70%
The model gave 70% on GenOne — the map was taken by SAW Youngsters.
Anubisprediction correct11:13
SAW Youngsters 23%GenOne 77%
The model gave 77% on GenOne — the map was taken by GenOne.
Model check result
Model favoriteGenOne · 81%
Series resultGenOne 1:2
Series predictioncorrect
Accuracy by map1 of 3