Last refresh: 2026-04-05 18:22 UTC · Next:
Upcoming
Bebop
vs
MASONIC
Bebop
iDISBALANCE
lov1kus
h1kaN
faydett
dwushka
MASONIC
Model Consensus based on 2 models
No consensus
Not enough data or confidence is too low
Model Predictions (18)
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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89.5%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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94.1%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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88.9%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
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83.3%
accuracy
SOS
Rank + form + opponent strength
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65.0%
accuracy
MIND
Psychology + tilt + H2H
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38.2%
accuracy
OPEN
Rank + form + head-to-head
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64.2%
accuracy
XGPRO
Rank + H2H for top matches
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65.7%
accuracy
MAJOR
Rank + H2H + Form for major events
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66.2%
accuracy
WR10C
Win rate top-10 + ELO + form
53.7%
win probability
Bebop
62.7%
accuracy
FORM
Win rate last 10 matches
52.5%
win probability
Bebop
45.5%
accuracy
ELOHQ
High-confidence ELO
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78.7%
accuracy
ELOFACE
ELO + training activity
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66.2%
accuracy
TIER
ELO for top-30 teams
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82.3%
accuracy
TIER2
Top-teams ELO v2
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77.5%
accuracy
TIER3
Top-teams ELO v3
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79.4%
accuracy
WR10
Rank + H2H + win rate vs top-10
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69.9%
accuracy
STREAK
Rank + H2H + win/loss streak
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68.4%
accuracy