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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 80.0%    STRONGHOLD 77.0%    VANGUARD 75.5%    TIER3ELO 74.9%    TRIBUNAL 74.9%    NEXUS 73.0%    ELOHQ 71.5%    HIGHORACLE 71.5%    TIERELO 71.5%    TIER2ELO 70.2%   
Last refresh: 2026-10-09 17:10 UTC · Next:
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ESL Challenger League Season 52 Asia-Pacific Cup 3 · bo3 · 16:00 · 2026-10-10 · OTHER · HLTV →
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Model Consensus based on 5 models
Chinggis Warriors
66.2%
47%
53%
Chinggis Warriors: $1.07 (1) · x2.08 Pool $2.23 THE UNIT: $1.16 (1) · x1.92
If win: — potential payout If win: —
Predictions on this match · 2 latest
SlaweE
Oct 09, 15:49
Chinggis Warr…
$1.07
active
PoGy
Oct 09, 15:44
THE UNIT
$1.16
active
Model Predictions (24)
SURGE
Best-improving player K-D trajectory across team starters
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52.0%
accuracy
SQUAD
Player ratings
91.0%
win probability
Chinggis Warriors
60.4%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.6%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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75.5%
accuracy
FORM
Win rate last 10 matches
73.1%
win probability
Chinggis Warriors
54.9%
accuracy
ELO
Team ELO rating
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65.2%
accuracy
STRONGHOLD
ELO + SOS both >60% same direction
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77.0%
accuracy
OPEN
Rank + form + head-to-head
64.4%
win probability
Chinggis Warriors
57.8%
accuracy
XGPRO
Rank + H2H for top matches
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58.6%
accuracy
MAJOR
Rank + H2H + Form for major events
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58.8%
accuracy
ELOFACE
ELO + training activity
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66.0%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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74.9%
accuracy
SOS
Rank + form + opponent strength
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64.5%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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66.8%
accuracy
MIND
Psychology + tilt + H2H
56.7%
win probability
Chinggis Warriors
49.8%
accuracy
ELOHQ
High-confidence ELO
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71.5%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.5%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
54.5%
win probability
THE UNIT
62.5%
accuracy
STREAK
Rank + H2H + win/loss streak
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59.6%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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66.2%
accuracy
TIER2
Top-teams ELO v2
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70.2%
accuracy
TIER3
Top-teams ELO v3
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74.9%
accuracy
TIER
ELO for top-30 teams
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71.5%
accuracy
WR10
Rank + H2H + win rate vs top-10
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58.1%
accuracy
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