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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 11:51 UTC · Next:
Completed
ESL Challenger League Season 51 Europe Cup 2 Playoffs · bo3 · 19:00 · 2026-03-26 · TOP · HLTV →
Model Consensus based on 13 models
K27
55.9%
Model Predictions (13)
SQUAD
Player ratings
76.7%
win probability
Nemiga
59.5%
accuracy
WR10C
Win rate top-10 + ELO + form
74.1%
win probability
K27
61.3%
accuracy
WR10P
Pure win rate vs top-10
73.1%
win probability
K27
41.4%
accuracy
MIND
Psychology + tilt + H2H
66.9%
win probability
K27
38.5%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
K27
45.7%
accuracy
SOS
Rank + form + opponent strength
58.2%
win probability
Nemiga
65.5%
accuracy
OPEN
Rank + form + head-to-head
56.8%
win probability
K27
63.8%
accuracy
XGPRO
Rank + H2H for top matches
56.8%
win probability
K27
65.5%
accuracy
MAJOR
Rank + H2H + Form for major events
56.8%
win probability
K27
66.0%
accuracy
WR10
Rank + H2H + win rate vs top-10
55.9%
win probability
K27
68.7%
accuracy
ELO
Team ELO rating
54.6%
win probability
K27
62.6%
accuracy
STREAK
Rank + H2H + win/loss streak
53.9%
win probability
K27
68.4%
accuracy
ELOFACE
ELO + training activity
53.0%
win probability
K27
64.4%
accuracy
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