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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 78.8%    STRONGHOLD 76.1%    TIER3ELO 74.5%    VANGUARD 74.5%    TRIBUNAL 73.0%    NEXUS 72.8%    ELOHQ 71.2%    TIERELO 71.2%    HIGHORACLE 70.7%    TIER2ELO 70.1%   
Last refresh: 2026-10-16 21:22 UTC · Next:
Completed
Stake Ranked Episode 4 Closed Qualifier · Live · 16:30 · 2026-09-03 · OTHER · HLTV →
Model Consensus based on 13 models
Ninjas in Pyjamas
59.2%
63%
37%
Ninjas in Pyjamas: $3.41 (3) · x1.59 Pool $5.41 Sangal: $2.00 (2) · x2.70
Predictions locked — match finished
Predictions on this match · 5 latest
Oli
Sep 03, 13:54
Ninjas in Pyj…
$1.20
+$1.90
won
kroK
Sep 03, 08:32
Sangal
$1.00
lost
nigazi
Sep 02, 14:42
Sangal
$1.00
lost
r3salt
Sep 01, 14:33
Ninjas in Pyj…
$1.00
+$1.59
won
sn1p3z
Sep 01, 08:40
Ninjas in Pyj…
$1.21
+$1.92
won
Model Predictions (13)
APEX
ELO + Form + Streak + SOS (optimized)
70.3%
win probability
Ninjas in Pyjamas
65.9%
accuracy
✓
NEXUS
APEX + ORACLE both >65% same direction
69.7%
win probability
Ninjas in Pyjamas
72.8%
accuracy
✓
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
69.1%
win probability
Ninjas in Pyjamas
66.3%
accuracy
✓
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
69.1%
win probability
Ninjas in Pyjamas
70.7%
accuracy
✓
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
64.4%
win probability
Ninjas in Pyjamas
62.2%
accuracy
✓
SQUAD
Player ratings
64.0%
win probability
Sangal
60.9%
accuracy
✕
WR10C
Win rate top-10 + ELO + form
61.5%
win probability
Ninjas in Pyjamas
62.6%
accuracy
✓
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
59.5%
win probability
Ninjas in Pyjamas
66.3%
accuracy
✓
SOS
Rank + form + opponent strength
58.3%
win probability
Ninjas in Pyjamas
63.9%
accuracy
✓
SURGE
Best-improving player K-D trajectory across team starters
57.4%
win probability
Sangal
52.1%
accuracy
✕
ELO
Team ELO rating
57.0%
win probability
Ninjas in Pyjamas
65.1%
accuracy
✓
ELOFACE
ELO + training activity
54.6%
win probability
Ninjas in Pyjamas
65.8%
accuracy
✓
MIND
Psychology + tilt + H2H
52.5%
win probability
Sangal
49.6%
accuracy
✕
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