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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 83.9%    TRIBUNAL 81.7%    VANGUARD 81.1%    STRONGHOLD 80.0%    NEXUS 77.1%    TIER3ELO 75.2%    ELOHQ 74.3%    HIGHORACLE 73.8%    TIERELO 73.6%    TIER2ELO 71.7%   
Last refresh: 2026-09-02 16:51 UTC · Next:
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IEM Beijing 2026 Closed Qualifier · bo3 · 20:00 · 2026-09-02 · TOP · HLTV →
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Model Consensus based on 6 models
HOTU
55.4%
62%
38%
HOTU: $2.22 (2) · x1.60 Pool $3.56 Nemiga: $1.34 (1) · x2.66
If win: potential payout If win:
Predictions on this match · 3 latest
kRaSnaL
Sep 02, 15:47
HOTU
$1.00
active
Renw1e
Sep 02, 15:41
HOTU
$1.22
active
xelex
Sep 02, 15:36
Nemiga
$1.34
active
Model Predictions (23)
WR10C
Win rate top-10 + ELO + form
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64.6%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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49.7%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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81.1%
accuracy
FORM
Win rate last 10 matches
73.1%
win probability
HOTU
54.4%
accuracy
ELO
Team ELO rating
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67.0%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
65.3%
win probability
Nemiga
64.3%
accuracy
OPEN
Rank + form + head-to-head
65.2%
win probability
HOTU
59.6%
accuracy
XGPRO
Rank + H2H for top matches
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62.0%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.2%
accuracy
MIND
Psychology + tilt + H2H
63.5%
win probability
HOTU
49.8%
accuracy
ELOFACE
ELO + training activity
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67.8%
accuracy
SOS
Rank + form + opponent strength
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66.0%
accuracy
WR10P
Pure win rate vs top-10
58.3%
win probability
Nemiga
53.1%
accuracy
STREAK
Rank + H2H + win/loss streak
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63.4%
accuracy
SQUAD
Player ratings
57.3%
win probability
HOTU
59.6%
accuracy
ELOHQ
High-confidence ELO
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74.3%
accuracy
TIER2
Top-teams ELO v2
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71.7%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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69.0%
accuracy
TIER
ELO for top-30 teams
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73.6%
accuracy
TIER3
Top-teams ELO v3
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75.2%
accuracy
WR10
Rank + H2H + win rate vs top-10
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61.4%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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68.8%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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67.8%
accuracy
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