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Match Prediction Engine
Top models accuracy · top-tier TRIBUNAL 83.9%    STRONGHOLD 81.9%    SENTINEL 81.7%    VANGUARD 80.6%    TIER3ELO 75.9%    NEXUS 74.4%    TIERELO 73.4%    ELOHQ 72.4%    TIER2ELO 71.4%    HIGHORACLE 69.6%   
Last refresh: 2026-07-22 14:06 UTC · Next:
Completed
CCT 2026 Europe Series 3 · Live · 18:00 · 2026-06-06 · OTHER · HLTV →
Model Consensus based on 16 models
100 Thieves
58.0%
50%
50%
Johnny Speeds: $0 (0) · x0 Pool $0 100 Thieves: $0 (0) · x0
Predictions locked — match finished
Predictions on this match · 3 latest
tripex17
Jun 06, 15:23
100 Thieves
$12.09
refunded
Viresse
Jun 06, 14:52
100 Thieves
$4.34
refunded
d1maje
Jun 06, 14:47
100 Thieves
$79.49
refunded
Model Predictions (16)
SQUAD
Player ratings
87.5%
win probability
100 Thieves
58.4%
accuracy
WR10C
Win rate top-10 + ELO + form
68.1%
win probability
100 Thieves
62.3%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
61.7%
win probability
100 Thieves
65.3%
accuracy
ELO
Team ELO rating
60.8%
win probability
100 Thieves
64.4%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
58.2%
win probability
100 Thieves
63.4%
accuracy
ELOFACE
ELO + training activity
57.1%
win probability
100 Thieves
65.1%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
56.7%
win probability
100 Thieves
64.3%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.6%
win probability
100 Thieves
58.2%
accuracy
FORM
Win rate last 10 matches
55.0%
win probability
100 Thieves
53.7%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
53.0%
win probability
100 Thieves
48.4%
accuracy
TIER2
Top-teams ELO v2
52.8%
win probability
100 Thieves
71.4%
accuracy
OPEN
Rank + form + head-to-head
52.8%
win probability
100 Thieves
60.0%
accuracy
MAJOR
Rank + H2H + Form for major events
52.8%
win probability
100 Thieves
62.2%
accuracy
XGPRO
Rank + H2H for top matches
52.8%
win probability
100 Thieves
61.8%
accuracy
TIER
ELO for top-30 teams
52.6%
win probability
100 Thieves
73.4%
accuracy
ELOHQ
High-confidence ELO
52.3%
win probability
100 Thieves
72.4%
accuracy
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