Last refresh: 2026-08-28 17:12 UTC · Next:
Model Consensus based on 5 models
FORZE Reload
61.3%
FORZE Reload: $1.96 (1) · x2.13
Pool $4.18
DONSTU: $2.22 (2) · x1.88
If win: —
potential payout
If win: —
Predictions on this match · 3 latest
lucky
Aug 28, 14:04
FORZE Reload
$1.96
active
hazr
Aug 28, 13:58
DONSTU
$1.00
active
souv
Aug 28, 13:53
DONSTU
$1.22
active
Model Predictions (22)
WR10C
Win rate top-10 + ELO + form
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64.0%
accuracy
SQUAD
Player ratings
70.0%
win probability
FORZE Reload
59.9%
accuracy
MIND
Psychology + tilt + H2H
64.3%
win probability
FORZE Reload
49.1%
accuracy
ELO
Team ELO rating
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66.5%
accuracy
FORM
Win rate last 10 matches
62.3%
win probability
FORZE Reload
53.9%
accuracy
OPEN
Rank + form + head-to-head
58.9%
win probability
FORZE Reload
59.3%
accuracy
ELOFACE
ELO + training activity
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67.2%
accuracy
SOS
Rank + form + opponent strength
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66.6%
accuracy
STREAK
Rank + H2H + win/loss streak
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62.8%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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69.2%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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82.1%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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67.9%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.5%
accuracy
XGPRO
Rank + H2H for top matches
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62.3%
accuracy
WR10
Rank + H2H + win rate vs top-10
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61.4%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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68.8%
accuracy
ELOHQ
High-confidence ELO
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73.9%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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47.9%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
52.1%
win probability
FORZE Reload
64.4%
accuracy
TIER
ELO for top-30 teams
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73.1%
accuracy
TIER2
Top-teams ELO v2
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71.2%
accuracy
TIER3
Top-teams ELO v3
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74.1%
accuracy