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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 84.3%    TRIBUNAL 82.9%    STRONGHOLD 80.6%    VANGUARD 79.7%    NEXUS 76.2%    TIER3ELO 74.0%    ELOHQ 73.5%    TIERELO 73.2%    HIGHORACLE 72.9%    TIER2ELO 71.3%   
Last refresh: 2026-08-16 00:45 UTC · Next:
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BetBoom Storm Season 4 · bo3 · 19:00 · 2026-08-16 · OTHER · HLTV →
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Model Consensus based on 5 models
Imperial
58.7%
35%
65%
Keyd Stars: $1.10 (1) · x2.85 Pool $3.13 Imperial: $2.03 (2) · x1.54
If win: potential payout If win:
Predictions on this match · 3 latest
hazr
Aug 15, 23:04
Keyd Stars
$1.10
active
indoubt
Aug 15, 23:04
Imperial
$1.03
active
chayJESUS
Aug 15, 23:04
Imperial
$1.00
active
Model Predictions (22)
SURGE
Best-improving player K-D trajectory across team starters
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46.5%
accuracy
WR10C
Win rate top-10 + ELO + form
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63.5%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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68.5%
accuracy
ELO
Team ELO rating
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66.1%
accuracy
SQUAD
Player ratings
63.4%
win probability
Imperial
60.9%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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67.8%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
60.1%
win probability
Imperial
63.9%
accuracy
MIND
Psychology + tilt + H2H
59.4%
win probability
Imperial
48.5%
accuracy
ELOFACE
ELO + training activity
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66.8%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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82.9%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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69.0%
accuracy
SOS
Rank + form + opponent strength
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66.7%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.0%
accuracy
OPEN
Rank + form + head-to-head
55.3%
win probability
Imperial
59.3%
accuracy
XGPRO
Rank + H2H for top matches
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61.8%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
Imperial
53.6%
accuracy
STREAK
Rank + H2H + win/loss streak
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62.5%
accuracy
WR10
Rank + H2H + win rate vs top-10
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61.0%
accuracy
ELOHQ
High-confidence ELO
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73.5%
accuracy
TIER2
Top-teams ELO v2
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71.3%
accuracy
TIER3
Top-teams ELO v3
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74.0%
accuracy
TIER
ELO for top-30 teams
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73.2%
accuracy
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