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Match Prediction Engine
Top models accuracy · top-tier TRIBUNAL 87.1%    STRONGHOLD 86.4%    VANGUARD 86.1%    SENTINEL 85.2%    NEXUS 84.1%    TIER3ELO 82.8%    TIERELO 81.1%    TIER2ELO 77.9%    HIGHORACLE 77.3%    ELOHQ 76.6%   
Last refresh: 2026-05-19 00:00 UTC · Next:
Completed
CCT Global Finals 2026 · Live · 14:00 · 2026-04-25 · TOP · HLTV →
Model Consensus based on 11 models
No consensus
Models disagree or confidence is below threshold
Prediction Pool · $110.98
75%
25%
HEROIC: $84.09 (2) · x1.32 Monte: $26.89 (3) · x4.13
Predictions on this match · 5 latest
doni
Apr 25, 09:00
Monte
$8.85
lost
mazda
Apr 25, 08:20
HEROIC
$69.66
+$91.94
won
Forester
Apr 24, 20:48
Monte
$9.20
lost
tripex17
Apr 24, 20:33
Monte
$8.84
lost
tier0_s
Apr 24, 20:28
HEROIC
$14.43
+$19.04
won
Model Predictions (11)
WR10C
Win rate top-10 + ELO + form
65.7%
win probability
Monte
63.5%
accuracy
WR10P
Pure win rate vs top-10
60.3%
win probability
Monte
52.0%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
55.2%
win probability
Monte
66.9%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
Monte
53.8%
accuracy
ELO
Team ELO rating
54.7%
win probability
Monte
66.6%
accuracy
MIND
Psychology + tilt + H2H
53.7%
win probability
Monte
48.0%
accuracy
OPEN
Rank + form + head-to-head
53.3%
win probability
Monte
63.3%
accuracy
ELOFACE
ELO + training activity
53.1%
win probability
Monte
67.2%
accuracy
SQUAD
Player ratings
52.9%
win probability
HEROIC
61.1%
accuracy
SOS
Rank + form + opponent strength
52.7%
win probability
Monte
66.7%
accuracy
WR10
Rank + H2H + win rate vs top-10
52.5%
win probability
Monte
67.9%
accuracy
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