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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 84.3%    TRIBUNAL 83.0%    STRONGHOLD 80.9%    VANGUARD 79.9%    NEXUS 77.3%    HIGHORACLE 74.1%    TIER3ELO 74.1%    ELOHQ 73.7%    TIERELO 73.3%    TIER2ELO 71.2%   
Last refresh: 2026-08-24 00:24 UTC · Next:
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IEM Beijing 2026 Open Qualifier · bo1 · 18:00 · 2026-08-24 · TOP · HLTV →
starts in
Model Consensus based on 3 models
Acend
55.1%
61%
39%
Acend: $2.74 (2) · x1.63 Pool $4.47 Phantom: $1.73 (1) · x2.58
If win: potential payout If win:
Predictions on this match · 3 latest
lojzo
Aug 23, 21:54
Acend
$1.39
active
zxy
Aug 23, 21:22
Phantom
$1.73
active
seziwana
Aug 23, 21:17
Acend
$1.35
active
Model Predictions (19)
SURGE
Best-improving player K-D trajectory across team starters
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48.0%
accuracy
SQUAD
Player ratings
73.5%
win probability
Acend
60.4%
accuracy
MIND
Psychology + tilt + H2H
58.6%
win probability
Phantom
49.1%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.7%
accuracy
XGPRO
Rank + H2H for top matches
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62.5%
accuracy
STREAK
Rank + H2H + win/loss streak
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63.4%
accuracy
WR10
Rank + H2H + win rate vs top-10
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61.9%
accuracy
SOS
Rank + form + opponent strength
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66.8%
accuracy
WR10C
Win rate top-10 + ELO + form
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63.9%
accuracy
OPEN
Rank + form + head-to-head
52.3%
win probability
Phantom
59.2%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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68.9%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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67.8%
accuracy
ELO
Team ELO rating
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66.3%
accuracy
ELOFACE
ELO + training activity
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67.1%
accuracy
ELOHQ
High-confidence ELO
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73.7%
accuracy
TIER
ELO for top-30 teams
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73.3%
accuracy
TIER2
Top-teams ELO v2
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71.2%
accuracy
TIER3
Top-teams ELO v3
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74.1%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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68.9%
accuracy
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