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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 84.1%    TRIBUNAL 83.3%    STRONGHOLD 81.1%    VANGUARD 80.8%    NEXUS 76.3%    TIER3ELO 74.3%    ELOHQ 73.4%    TIERELO 73.2%    HIGHORACLE 73.0%    TIER2ELO 71.3%   
Last refresh: 2026-08-12 21:34 UTC · Next:
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Model Consensus based on 4 models
FURIA
55.1%
If win: potential payout If win:
Model Predictions (20)
APEX
ELO + Form + Streak + SOS (optimized)
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67.8%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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68.9%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
64.7%
win probability
FURIA
64.2%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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48.1%
accuracy
SQUAD
Player ratings
62.7%
win probability
FURIA
60.9%
accuracy
WR10C
Win rate top-10 + ELO + form
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63.8%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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68.3%
accuracy
ELO
Team ELO rating
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66.1%
accuracy
SOS
Rank + form + opponent strength
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66.3%
accuracy
ELOFACE
ELO + training activity
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66.8%
accuracy
MIND
Psychology + tilt + H2H
55.8%
win probability
9z
48.5%
accuracy
WR10P
Pure win rate vs top-10
55.5%
win probability
9z
51.1%
accuracy
STREAK
Rank + H2H + win/loss streak
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63.0%
accuracy
TIER2
Top-teams ELO v2
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71.3%
accuracy
WR10
Rank + H2H + win rate vs top-10
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61.8%
accuracy
TIER
ELO for top-30 teams
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73.2%
accuracy
TIER3
Top-teams ELO v3
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74.3%
accuracy
ELOHQ
High-confidence ELO
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73.4%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.1%
accuracy
XGPRO
Rank + H2H for top matches
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61.9%
accuracy
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