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Match Prediction Engine
Top models accuracy · top-tier VANGUARD 86.5%    SENTINEL 84.1%    TRIBUNAL 83.3%    STRONGHOLD 83.1%    TIER3ELO 78.9%    NEXUS 77.4%    TIERELO 76.9%    TIER2ELO 74.7%    ELOHQ 72.8%    HIGHORACLE 70.3%   
Last refresh: 2026-06-18 00:00 UTC · Next:
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CCT 2026 Europe Series 4 Semifinal · bo3 · 10:00 · 2026-06-21 · TOP · HLTV →
69%
31%
Virtus.pro: $8.50 (5) · x1.44 Pool $12.26 ex-RUBY: $3.76 (3) · x3.26
If win: potential payout If win:
Predictions on this match · 8 latest
Lekzi
Jun 20, 22:34
Virtus.pro
$1.37
active
z3ndy
Jun 20, 22:03
Virtus.pro
$1.71
active
kRaSnaL
Jun 20, 21:32
Virtus.pro
$1.96
active
epik
Jun 20, 20:40
ex-RUBY
$1.00
active
x1nk1n
Jun 20, 20:30
ex-RUBY
$1.63
active
lenci
Jun 20, 20:25
Virtus.pro
$1.43
active
hazr
Jun 20, 20:14
Virtus.pro
$2.03
active
Zilkenberg
Jun 20, 20:09
ex-RUBY
$1.13
active
Model Predictions (21)
WR10P
Pure win rate vs top-10
73.1%
win probability
ex-RUBY
54.1%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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calibrating
SQUAD
Player ratings
63.8%
win probability
Virtus.pro
60.5%
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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65.3%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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65.1%
accuracy
WR10
Rank + H2H + win rate vs top-10
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67.0%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.6%
win probability
Virtus.pro
56.0%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
ex-RUBY
53.7%
accuracy
OPEN
Rank + form + head-to-head
53.2%
win probability
ex-RUBY
62.2%
accuracy
XGPRO
Rank + H2H for top matches
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62.8%
accuracy
MAJOR
Rank + H2H + Form for major events
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63.2%
accuracy
TIER2
Top-teams ELO v2
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74.7%
accuracy
TIER
ELO for top-30 teams
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76.9%
accuracy
SOS
Rank + form + opponent strength
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65.3%
accuracy
STREAK
Rank + H2H + win/loss streak
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65.4%
accuracy
TIER3
Top-teams ELO v3
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78.9%
accuracy
ELO
Team ELO rating
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64.5%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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64.1%
accuracy
ELOFACE
ELO + training activity
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65.0%
accuracy
ELOHQ
High-confidence ELO
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72.8%
accuracy
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