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Match Prediction Engine
Top models accuracy · top-tier TRIBUNAL 84.1%    STRONGHOLD 82.0%    SENTINEL 81.7%    VANGUARD 79.7%    TIER3ELO 76.0%    NEXUS 74.8%    TIERELO 73.2%    ELOHQ 72.4%    TIER2ELO 71.2%    HIGHORACLE 70.1%   
Last refresh: 2026-07-22 17:44 UTC · Next:
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European Pro League Series 8 · bo3 · 10:00 · 2026-07-23 · OTHER · HLTV →
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Model Consensus based on 2 models
CYBERSHOKE
61.4%
32%
68%
Just Players: $1.00 (1) · x3.12 Pool $3.12 CYBERSHOKE: $2.12 (2) · x1.47
If win: potential payout If win:
Predictions on this match · 3 latest
gtw
Jul 22, 16:13
CYBERSHOKE
$1.12
active
SBT
Jul 22, 15:02
Just Players
$1.00
active
Trash
Jul 22, 14:57
CYBERSHOKE
$1.00
active
Model Predictions (18)
SURGE
Best-improving player K-D trajectory across team starters
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48.5%
accuracy
SQUAD
Player ratings
66.9%
win probability
CYBERSHOKE
58.3%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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65.1%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.4%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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64.3%
accuracy
MIND
Psychology + tilt + H2H
55.0%
win probability
CYBERSHOKE
50.7%
accuracy
ELO
Team ELO rating
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64.5%
accuracy
ELOFACE
ELO + training activity
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65.2%
accuracy
STREAK
Rank + H2H + win/loss streak
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63.6%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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63.6%
accuracy
TIER
ELO for top-30 teams
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73.2%
accuracy
ELOHQ
High-confidence ELO
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72.4%
accuracy
TIER2
Top-teams ELO v2
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71.2%
accuracy
TIER3
Top-teams ELO v3
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76.0%
accuracy
XGPRO
Rank + H2H for top matches
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62.3%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.6%
accuracy
SOS
Rank + form + opponent strength
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63.9%
accuracy
WR10
Rank + H2H + win rate vs top-10
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64.1%
accuracy
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