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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 80.0%    STRONGHOLD 76.8%    VANGUARD 75.4%    TIER3ELO 75.0%    TRIBUNAL 74.6%    NEXUS 72.8%    HIGHORACLE 71.6%    ELOHQ 71.5%    TIERELO 71.5%    TIER2ELO 70.1%   
Last refresh: 2026-10-07 23:29 UTC · Next:
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Roman Imperium Cup IX · bo3 · 13:00 · 2026-10-08 · OTHER · HLTV →
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Model Consensus based on 5 models
Sangal
60.3%
43%
57%
OG: $1.16 (1) · x2.28 Pool $2.64 Sangal: $1.48 (1) · x1.78
If win: — potential payout If win: —
Predictions on this match · 2 latest
Setsu
Oct 07, 21:40
OG
$1.16
active
Xydoo
Oct 07, 21:34
Sangal
$1.48
active
Model Predictions (23)
WR10C
Win rate top-10 + ELO + form
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62.6%
accuracy
SQUAD
Player ratings
74.4%
win probability
Sangal
60.4%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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75.4%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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66.5%
accuracy
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
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71.6%
accuracy
ELO
Team ELO rating
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65.1%
accuracy
FORM
Win rate last 10 matches
64.6%
win probability
Sangal
54.8%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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65.9%
accuracy
ELOFACE
ELO + training activity
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65.8%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
61.1%
win probability
Sangal
62.5%
accuracy
MIND
Psychology + tilt + H2H
57.4%
win probability
OG
49.6%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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52.1%
accuracy
OPEN
Rank + form + head-to-head
55.8%
win probability
Sangal
57.7%
accuracy
MAJOR
Rank + H2H + Form for major events
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58.7%
accuracy
XGPRO
Rank + H2H for top matches
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58.4%
accuracy
ELOHQ
High-confidence ELO
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71.5%
accuracy
STREAK
Rank + H2H + win/loss streak
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59.6%
accuracy
WR10
Rank + H2H + win rate vs top-10
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58.3%
accuracy
SOS
Rank + form + opponent strength
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64.2%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.3%
accuracy
TIER2
Top-teams ELO v2
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70.1%
accuracy
TIER3
Top-teams ELO v3
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75.0%
accuracy
TIER
ELO for top-30 teams
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71.5%
accuracy
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