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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 80.6%    VANGUARD 77.6%    STRONGHOLD 76.9%    TIER3ELO 75.8%    TRIBUNAL 74.9%    NEXUS 73.3%    ELOHQ 72.5%    TIERELO 72.5%    HIGHORACLE 72.2%    TIER2ELO 71.1%   
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ESL Pro League Season 24 · bo3 · 11:30 · 2026-10-03 · TOP · HLTV →
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Model Consensus based on 6 models
Vitality
60.7%
100%
0%
Vitality: $2.10 (2) · x1.00 Pool $2.10 1win: $0 (0) · x0
If win: — potential payout If win: —
Predictions on this match · 2 latest
Shawk
Sep 30, 16:07
Vitality
$1.00
active
indoubt
Sep 30, 16:07
Vitality
$1.10
active
Model Predictions (25)
SQUAD
Player ratings
86.2%
win probability
Vitality
60.1%
accuracy
ELO
Team ELO rating
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65.5%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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77.6%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.9%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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66.5%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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52.0%
accuracy
STRONGHOLD
ELO + SOS both >60% same direction
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76.9%
accuracy
ELOFACE
ELO + training activity
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66.2%
accuracy
SOS
Rank + form + opponent strength
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64.4%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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67.2%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.6%
accuracy
MIND
Psychology + tilt + H2H
60.5%
win probability
Vitality
48.8%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
Vitality
54.9%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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74.9%
accuracy
TIER2
Top-teams ELO v2
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71.1%
accuracy
TIER
ELO for top-30 teams
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72.5%
accuracy
OPEN
Rank + form + head-to-head
57.0%
win probability
Vitality
58.0%
accuracy
XGPRO
Rank + H2H for top matches
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58.7%
accuracy
MAJOR
Rank + H2H + Form for major events
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58.9%
accuracy
ELOHQ
High-confidence ELO
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72.5%
accuracy
TIER3
Top-teams ELO v3
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75.8%
accuracy
STREAK
Rank + H2H + win/loss streak
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59.2%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
52.9%
win probability
1win
63.4%
accuracy
WR10P
Pure win rate vs top-10
52.8%
win probability
Vitality
51.6%
accuracy
WR10
Rank + H2H + win rate vs top-10
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58.6%
accuracy
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