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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 75.8%    STRONGHOLD 74.5%    TIER3ELO 73.0%    VANGUARD 72.7%    NEXUS 71.1%    TRIBUNAL 71.1%    ELOHQ 70.1%    TIERELO 69.8%    HIGHORACLE 69.5%    TIER2ELO 68.7%   
Last refresh: 2026-10-29 09:49 UTC · Next:
Completed
CCT 2026 Europe Series 4 · bo3 · 20:05 · 2026-06-16 · OTHER · HLTV →
Model Consensus based on 11 models
KOLESIE
57.7%
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
51.5%
accuracy
✕
SQUAD
Player ratings
62.3%
win probability
KOLESIE
60.4%
accuracy
✕
MIND
Psychology + tilt + H2H
61.0%
win probability
KOLESIE
50.2%
accuracy
✕
STREAK
Rank + H2H + win/loss streak
58.7%
win probability
KOLESIE
59.0%
accuracy
✕
MAJOR
Rank + H2H + Form for major events
55.5%
win probability
KOLESIE
58.2%
accuracy
✕
XGPRO
Rank + H2H for top matches
55.0%
win probability
KOLESIE
57.9%
accuracy
✕
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.0%
win probability
GenOne
61.6%
accuracy
✓
WR10
Rank + H2H + win rate vs top-10
54.5%
win probability
KOLESIE
57.2%
accuracy
✕
SOS
Rank + form + opponent strength
53.7%
win probability
KOLESIE
63.7%
accuracy
✕
OPEN
Rank + form + head-to-head
53.0%
win probability
KOLESIE
57.4%
accuracy
✕
WR10C
Win rate top-10 + ELO + form
52.1%
win probability
KOLESIE
62.2%
accuracy
✕
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