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Match Prediction Engine
Top models accuracy · top-tier VANGUARD 86.1%    SENTINEL 84.1%    STRONGHOLD 83.1%    TRIBUNAL 83.0%    TIER3ELO 78.9%    NEXUS 77.4%    TIERELO 76.9%    TIER2ELO 74.6%    ELOHQ 72.7%    HIGHORACLE 70.3%   
Last refresh: 2026-06-14 00:00 UTC · Next:
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IEM Cologne Major 2026 · bo3 · 12:00 · 2026-06-14 · MAJOR · HLTV →
Model Consensus based on 5 models
No consensus
Models disagree or confidence is below threshold
Prediction Pool · $4.38
65%
35%
MOUZ: $2.88 (2) · x1.52 FUT: $1.50 (1) · x2.92
If win: potential payout If win:
Predictions on this match · 3 latest
erners
Jun 13, 23:02
MOUZ
$1.88
active
Tw1nk1e17
Jun 13, 22:47
FUT
$1.50
active
Bakorino
Jun 13, 22:45
MOUZ
$1.00
active
Model Predictions (22)
SURGE
Best-improving player K-D trajectory across team starters
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calibrating
SQUAD
Player ratings
71.3%
win probability
FUT
60.7%
accuracy
ELO
Team ELO rating
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64.5%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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86.1%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.6%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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65.3%
accuracy
WR10P
Pure win rate vs top-10
62.2%
win probability
FUT
54.2%
accuracy
ELOFACE
ELO + training activity
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64.8%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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64.1%
accuracy
SOS
Rank + form + opponent strength
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65.4%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
MOUZ
53.5%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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65.0%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
53.3%
win probability
MOUZ
55.9%
accuracy
ELOHQ
High-confidence ELO
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72.7%
accuracy
OPEN
Rank + form + head-to-head
53.0%
win probability
MOUZ
62.1%
accuracy
WR10
Rank + H2H + win rate vs top-10
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67.5%
accuracy
TIER2
Top-teams ELO v2
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74.6%
accuracy
TIER
ELO for top-30 teams
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76.9%
accuracy
TIER3
Top-teams ELO v3
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78.9%
accuracy
XGPRO
Rank + H2H for top matches
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62.8%
accuracy
MAJOR
Rank + H2H + Form for major events
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63.2%
accuracy
STREAK
Rank + H2H + win/loss streak
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65.7%
accuracy
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