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Match Prediction Engine
Top models accuracy · top-tier VANGUARD 86.1%    SENTINEL 85.2%    STRONGHOLD 84.7%    NEXUS 82.1%    TRIBUNAL 82.1%    TIER3ELO 81.3%    TIERELO 79.1%    TIER2ELO 76.3%    ELOHQ 75.4%    HIGHORACLE 74.6%   
Last refresh: 2026-05-19 00:00 UTC · Next:
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CS Asia Championships 2026 · bo3 · 06:00 · 2026-05-21 · TOP · HLTV →
Model Consensus based on 5 models
No consensus
Models disagree or confidence is below threshold
Prediction Pool · $108.91
90%
10%
Lynn Vision: $98.46 (4) · x1.11 Ninjas in Pyjamas: $10.45 (1) · x10.42
Predictions on this match · 5 latest
tripex17
May 21, 00:37
Ninjas in Pyj…
$10.45
active
FxRE
May 21, 00:01
Lynn Vision
$7.62
active
r3salt
May 20, 06:29
Lynn Vision
$11.29
active
kRaSnaL
May 20, 05:33
Lynn Vision
$71.89
active
erners
May 20, 05:17
Lynn Vision
$7.66
active
Model Predictions (21)
SQUAD
Player ratings
87.2%
win probability
Ninjas in Pyjamas
61.0%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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66.3%
accuracy
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
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74.6%
accuracy
WR10P
Pure win rate vs top-10
62.2%
win probability
Lynn Vision
53.0%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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67.0%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
56.4%
win probability
Lynn Vision
55.6%
accuracy
WR10C
Win rate top-10 + ELO + form
56.0%
win probability
Lynn Vision
63.4%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
Ninjas in Pyjamas
53.7%
accuracy
SOS
Rank + form + opponent strength
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66.2%
accuracy
WR10
Rank + H2H + win rate vs top-10
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68.3%
accuracy
OPEN
Rank + form + head-to-head
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63.0%
accuracy
XGPRO
Rank + H2H for top matches
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63.6%
accuracy
MAJOR
Rank + H2H + Form for major events
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64.1%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.9%
accuracy
MIND
Psychology + tilt + H2H
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48.6%
accuracy
ELOHQ
High-confidence ELO
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75.4%
accuracy
ELOFACE
ELO + training activity
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66.8%
accuracy
TIER
ELO for top-30 teams
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79.1%
accuracy
TIER2
Top-teams ELO v2
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76.3%
accuracy
TIER3
Top-teams ELO v3
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81.3%
accuracy
STREAK
Rank + H2H + win/loss streak
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67.6%
accuracy
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