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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 81.2%    VANGUARD 77.7%    STRONGHOLD 77.5%    TRIBUNAL 76.0%    TIER3ELO 75.6%    NEXUS 74.3%    ELOHQ 73.0%    HIGHORACLE 73.0%    TIERELO 72.5%    TIER2ELO 71.2%   
Last refresh: 2026-09-23 23:15 UTC · Next:
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CCT 2026 Europe Series 9 · bo3 · 17:00 · 2026-09-25 · OTHER · HLTV →
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ex-RUSTEC

Model Consensus based on 4 models
ex-RUSTEC
65.9%
32%
68%
Omega: $1.19 (1) · x3.12 Pool $3.71 ex-RUSTEC: $2.52 (2) · x1.47
If win: potential payout If win:
Predictions on this match · 3 latest
Zhenn
Sep 23, 22:09
ex-RUSTEC
$1.00
active
nesh
Sep 23, 22:03
ex-RUSTEC
$1.52
active
Trash
Sep 23, 21:58
Omega
$1.19
active
Model Predictions (19)
SQUAD
Player ratings
99.6%
win probability
ex-RUSTEC
60.3%
accuracy
WR10C
Win rate top-10 + ELO + form
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63.1%
accuracy
ELO
Team ELO rating
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65.8%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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67.7%
accuracy
ELOFACE
ELO + training activity
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66.6%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
ex-RUSTEC
54.9%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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66.7%
accuracy
OPEN
Rank + form + head-to-head
53.1%
win probability
ex-RUSTEC
58.2%
accuracy
XGPRO
Rank + H2H for top matches
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59.3%
accuracy
MAJOR
Rank + H2H + Form for major events
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59.4%
accuracy
MIND
Psychology + tilt + H2H
52.0%
win probability
ex-RUSTEC
49.3%
accuracy
SOS
Rank + form + opponent strength
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65.1%
accuracy
STREAK
Rank + H2H + win/loss streak
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60.1%
accuracy
ELOHQ
High-confidence ELO
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73.0%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.7%
accuracy
TIER
ELO for top-30 teams
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72.5%
accuracy
TIER2
Top-teams ELO v2
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71.2%
accuracy
TIER3
Top-teams ELO v3
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75.6%
accuracy
WR10
Rank + H2H + win rate vs top-10
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59.1%
accuracy
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