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Match Prediction Engine
Top models accuracy · top-tier VANGUARD 86.1%    SENTINEL 85.2%    STRONGHOLD 84.7%    NEXUS 82.1%    TRIBUNAL 82.1%    TIER3ELO 81.3%    TIERELO 79.1%    TIER2ELO 76.3%    ELOHQ 75.4%    HIGHORACLE 74.6%   
Last refresh: 2026-05-19 00:00 UTC · Next:
Completed
CS Asia Championships 2026 · Live · 06:00 · 2026-05-20 · TOP · HLTV →
Model Consensus based on 15 models
No consensus
Models disagree or confidence is below threshold
Prediction Pool · $80.02
27%
73%
B8: $21.89 (2) · x3.66 Ninjas in Pyjamas: $58.13 (3) · x1.38
Predictions on this match · 5 latest
Kizzzi
May 19, 22:15
Ninjas in Pyj…
$11.15
lost
r3salt
May 19, 22:00
B8
$10.44
+$38.16
won
SayYouWill
May 19, 04:04
B8
$11.45
+$41.86
won
zxy
May 18, 05:03
Ninjas in Pyj…
$8.01
lost
Tw1nk1e17
May 18, 04:07
Ninjas in Pyj…
$38.97
lost
Model Predictions (15)
SQUAD
Player ratings
82.5%
win probability
Ninjas in Pyjamas
61.0%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
67.0%
win probability
B8
66.3%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
63.0%
win probability
B8
67.0%
accuracy
WR10P
Pure win rate vs top-10
62.2%
win probability
B8
53.0%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
60.8%
win probability
B8
55.6%
accuracy
MIND
Psychology + tilt + H2H
60.3%
win probability
Ninjas in Pyjamas
48.6%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
Ninjas in Pyjamas
53.7%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
59.7%
win probability
B8
66.9%
accuracy
OPEN
Rank + form + head-to-head
57.6%
win probability
Ninjas in Pyjamas
63.0%
accuracy
WR10C
Win rate top-10 + ELO + form
57.3%
win probability
B8
63.4%
accuracy
MAJOR
Rank + H2H + Form for major events
55.5%
win probability
Ninjas in Pyjamas
64.1%
accuracy
XGPRO
Rank + H2H for top matches
55.0%
win probability
Ninjas in Pyjamas
63.6%
accuracy
STREAK
Rank + H2H + win/loss streak
54.8%
win probability
Ninjas in Pyjamas
67.6%
accuracy
ELO
Team ELO rating
53.1%
win probability
B8
66.2%
accuracy
ELOFACE
ELO + training activity
52.0%
win probability
B8
66.8%
accuracy
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