CS2PREDCT.gg
Match Prediction Engine
Top models accuracy · top-tier SENTINEL 84.3%    TRIBUNAL 82.9%    STRONGHOLD 80.7%    VANGUARD 80.1%    NEXUS 76.6%    TIER3ELO 74.0%    ELOHQ 73.6%    HIGHORACLE 73.5%    TIERELO 73.4%    TIER2ELO 71.6%   
Last refresh: 2026-08-17 22:07 UTC · Next:
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CCT 2026 Europe Series 7 · bo3 · 10:00 · 2026-08-19 · OTHER · HLTV →
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Model Consensus based on 3 models
GenOne
57.5%
33%
67%
GenOne: $1.59 (1) · x2.99 Pool $4.75 UNiTY: $3.16 (2) · x1.50
If win: potential payout If win:
Predictions on this match · 3 latest
Rack
Aug 17, 21:47
GenOne
$1.59
active
z0mb1e
Aug 17, 21:14
UNiTY
$1.26
active
SBT
Aug 17, 21:08
UNiTY
$1.90
active
Model Predictions (22)
SURGE
Best-improving player K-D trajectory across team starters
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46.6%
accuracy
ELO
Team ELO rating
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66.3%
accuracy
WR10C
Win rate top-10 + ELO + form
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63.8%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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80.1%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
71.9%
win probability
GenOne
64.0%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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68.6%
accuracy
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
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73.5%
accuracy
NEXUS
APEX + ORACLE both >65% same direction
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76.6%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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68.0%
accuracy
ELOFACE
ELO + training activity
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67.1%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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69.1%
accuracy
SQUAD
Player ratings
56.1%
win probability
UNiTY
60.8%
accuracy
MAJOR
Rank + H2H + Form for major events
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62.4%
accuracy
MIND
Psychology + tilt + H2H
55.5%
win probability
GenOne
48.8%
accuracy
SOS
Rank + form + opponent strength
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67.1%
accuracy
ELOHQ
High-confidence ELO
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73.6%
accuracy
XGPRO
Rank + H2H for top matches
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62.1%
accuracy
STREAK
Rank + H2H + win/loss streak
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62.9%
accuracy
WR10
Rank + H2H + win rate vs top-10
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61.2%
accuracy
TIER
ELO for top-30 teams
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73.4%
accuracy
TIER2
Top-teams ELO v2
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71.6%
accuracy
TIER3
Top-teams ELO v3
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74.0%
accuracy
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