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Match Prediction Engine
Top models accuracy · top-tier APEX 94.1%    ORACLE 89.5%    PHANTOM 88.9%    EAGLE 83.3%    TIERELO 82.3%    TIER3ELO 79.4%    ELOHQ 78.7%    TIER2ELO 77.5%    WR10 69.9%    STREAK 68.4%   
Last refresh: 2026-04-05 18:17 UTC · Next:
Completed
Monte
#23
2-0
Passion UA
#30
Digital Crusade DraculaN Season 6 Playoffs · Live · 18:40 · 2026-03-31 · TOP · HLTV →
Model Consensus based on 13 models
Monte
57.3%
Model Predictions (13)
MAJOR
Rank + H2H + Form for major events
65.0%
win probability
Monte
66.2%
accuracy
STREAK
Rank + H2H + win/loss streak
62.0%
win probability
Monte
68.4%
accuracy
XGPRO
Rank + H2H for top matches
61.1%
win probability
Monte
65.7%
accuracy
WR10C
Win rate top-10 + ELO + form
60.9%
win probability
Monte
62.7%
accuracy
ELO
Team ELO rating
59.9%
win probability
Monte
64.1%
accuracy
WR10
Rank + H2H + win rate vs top-10
59.3%
win probability
Monte
69.9%
accuracy
SOS
Rank + form + opponent strength
59.1%
win probability
Monte
65.0%
accuracy
WR10P
Pure win rate vs top-10
58.3%
win probability
Passion UA
42.9%
accuracy
SQUAD
Player ratings
57.5%
win probability
Monte
60.3%
accuracy
ELOFACE
ELO + training activity
56.5%
win probability
Monte
66.2%
accuracy
OPEN
Rank + form + head-to-head
55.4%
win probability
Monte
64.2%
accuracy
MIND
Psychology + tilt + H2H
53.8%
win probability
Monte
38.2%
accuracy
ELOHQ
High-confidence ELO
52.6%
win probability
Monte
78.7%
accuracy
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