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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 81.0%    VANGUARD 78.6%    STRONGHOLD 78.2%    TRIBUNAL 78.0%    TIER3ELO 75.9%    NEXUS 74.3%    ELOHQ 73.5%    HIGHORACLE 73.0%    TIERELO 72.6%    TIER2ELO 71.3%   
Last refresh: 2026-09-14 05:16 UTC · Next:
Completed
CCT 2026 Europe Series 4 · bo3 · 20:05 · 2026-06-16 · OTHER · HLTV →
Model Consensus based on 11 models
KOLESIE
57.6%
50%
50%
KOLESIE: $0 (0) · x0 Pool $0 GenOne: $0 (0) · x0
Predictions locked — match finished
Predictions on this match · 2 latest
Tw1nk1e17
Jun 16, 17:23
GenOne
$1.26
refunded
arlli
Jun 16, 17:11
GenOne
$1.68
refunded
Model Predictions (11)
SURGE
Best-improving player K-D trajectory across team starters
89.1%
win probability
KOLESIE
51.8%
accuracy
SQUAD
Player ratings
62.3%
win probability
KOLESIE
59.9%
accuracy
MIND
Psychology + tilt + H2H
61.0%
win probability
KOLESIE
49.7%
accuracy
STREAK
Rank + H2H + win/loss streak
58.7%
win probability
KOLESIE
60.9%
accuracy
MAJOR
Rank + H2H + Form for major events
55.5%
win probability
KOLESIE
60.0%
accuracy
XGPRO
Rank + H2H for top matches
55.0%
win probability
KOLESIE
59.8%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.0%
win probability
GenOne
63.6%
accuracy
WR10
Rank + H2H + win rate vs top-10
54.5%
win probability
KOLESIE
60.2%
accuracy
SOS
Rank + form + opponent strength
53.7%
win probability
KOLESIE
65.1%
accuracy
OPEN
Rank + form + head-to-head
53.0%
win probability
KOLESIE
58.5%
accuracy
WR10C
Win rate top-10 + ELO + form
52.1%
win probability
KOLESIE
63.5%
accuracy
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