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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
1-2
M80
Digital Crusade DraculaN Season 6 Grand Final · Live · 19:20 · 2026-04-02 · OTHER · 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
62.7%
accuracy
SOS
Rank + form + opponent strength
72.3%
win probability
Monte
65.0%
accuracy
MAJOR
Rank + H2H + Form for major events
70.6%
win probability
Monte
66.2%
accuracy
WR10
Rank + H2H + win rate vs top-10
70.0%
win probability
Monte
69.9%
accuracy
OPEN
Rank + form + head-to-head
69.4%
win probability
Monte
64.2%
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
65.7%
accuracy
ELO
Team ELO rating
65.2%
win probability
Monte
64.1%
accuracy
ELOFACE
ELO + training activity
60.0%
win probability
Monte
66.2%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
Monte
45.5%
accuracy
WR10P
Pure win rate vs top-10
56.6%
win probability
Monte
42.9%
accuracy
ELOHQ
High-confidence ELO
54.0%
win probability
Monte
78.7%
accuracy
MIND
Psychology + tilt + H2H
53.5%
win probability
Monte
38.2%
accuracy
TIER
ELO for top-30 teams
52.5%
win probability
Monte
82.3%
accuracy
TIER2
Top-teams ELO v2
52.5%
win probability
Monte
77.5%
accuracy
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