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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 78.8%    STRONGHOLD 76.1%    TIER3ELO 74.5%    VANGUARD 74.5%    TRIBUNAL 73.0%    NEXUS 72.8%    ELOHQ 71.2%    TIERELO 71.2%    HIGHORACLE 70.7%    TIER2ELO 70.1%   
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CIS Esports League CyberClash Season 2 · bo3 · 19:00 · 2026-10-17 · OTHER · HLTV →
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Model Consensus based on 5 models
Bushido Wildcats
60.7%
43%
57%
Omega: $1.00 (1) · x2.30 Pool $2.30 Bushido Wildcats: $1.30 (1) · x1.77
If win: — potential payout If win: —
Predictions on this match · 2 latest
SlaweE
Oct 16, 23:37
Bushido Wildc…
$1.30
active
Dukalis
Oct 16, 23:26
Omega
$1.00
active
Model Predictions (21)
SQUAD
Player ratings
93.4%
win probability
Bushido Wildcats
60.9%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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52.1%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.6%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.3%
accuracy
MIND
Psychology + tilt + H2H
55.9%
win probability
Bushido Wildcats
49.6%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.8%
win probability
Omega
62.2%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
Bushido Wildcats
54.9%
accuracy
ELO
Team ELO rating
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65.1%
accuracy
OPEN
Rank + form + head-to-head
53.4%
win probability
Bushido Wildcats
57.5%
accuracy
XGPRO
Rank + H2H for top matches
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57.7%
accuracy
MAJOR
Rank + H2H + Form for major events
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57.9%
accuracy
ELOFACE
ELO + training activity
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65.8%
accuracy
STREAK
Rank + H2H + win/loss streak
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58.9%
accuracy
SOS
Rank + form + opponent strength
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63.9%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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66.3%
accuracy
ELOHQ
High-confidence ELO
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71.2%
accuracy
TIER
ELO for top-30 teams
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71.2%
accuracy
TIER2
Top-teams ELO v2
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70.1%
accuracy
TIER3
Top-teams ELO v3
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74.5%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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65.9%
accuracy
WR10
Rank + H2H + win rate vs top-10
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57.7%
accuracy
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