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Match Prediction Engine
Top models accuracy · top-tier ORACLE 83.3%    APEX 81.8%    TIER3ELO 80.0%    TIERELO 80.0%    PHANTOM 78.3%    ELOHQ 77.2%    TIER2ELO 75.7%    EAGLE 73.9%    WR10 68.7%    STREAK 68.4%   
Last refresh: 2026-04-06 11:20 UTC · Next:
Completed
Digital Crusade DraculaN Season 6 Playoffs · Live · 16:00 · 2026-04-01 · TOP · HLTV →
Model Consensus based on 15 models
Monte
63.2%
Model Predictions (15)
WR10C
Win rate top-10 + ELO + form
76.1%
win probability
Monte
61.3%
accuracy
SOS
Rank + form + opponent strength
72.3%
win probability
Monte
65.5%
accuracy
MAJOR
Rank + H2H + Form for major events
70.6%
win probability
Monte
66.0%
accuracy
WR10
Rank + H2H + win rate vs top-10
70.0%
win probability
Monte
68.7%
accuracy
OPEN
Rank + form + head-to-head
69.4%
win probability
Monte
63.8%
accuracy
STREAK
Rank + H2H + win/loss streak
68.2%
win probability
Monte
68.4%
accuracy
XGPRO
Rank + H2H for top matches
67.7%
win probability
Monte
65.5%
accuracy
ELO
Team ELO rating
65.2%
win probability
Monte
62.6%
accuracy
ELOFACE
ELO + training activity
60.0%
win probability
Monte
64.4%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
Monte
45.7%
accuracy
WR10P
Pure win rate vs top-10
56.6%
win probability
Monte
41.4%
accuracy
ELOHQ
High-confidence ELO
54.0%
win probability
Monte
77.2%
accuracy
MIND
Psychology + tilt + H2H
53.5%
win probability
Monte
38.5%
accuracy
TIER
ELO for top-30 teams
52.5%
win probability
Monte
80.0%
accuracy
TIER2
Top-teams ELO v2
52.5%
win probability
Monte
75.7%
accuracy
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