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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 79.6%    STRONGHOLD 77.1%    VANGUARD 75.9%    TIER3ELO 75.3%    TRIBUNAL 74.4%    NEXUS 72.9%    TIERELO 72.0%    ELOHQ 71.9%    HIGHORACLE 71.7%    TIER2ELO 70.6%   
Last refresh: 2026-10-05 19:17 UTC · Next:
Completed
GLuck Moscow Cyber Games 2026 Closed Qualifier · Live · 17:30 · 2026-08-22 · OTHER · HLTV →

FORZE Reload

Model Consensus based on 15 models
Nemiga
64.6%
73%
27%
Nemiga: $8.40 (2) · x1.36 Pool $11.40 FORZE Reload: $3.00 (3) · x3.80
Predictions locked — match finished
Predictions on this match · 5 latest
AGL
Aug 22, 14:46
Nemiga
$4.92
+$6.68
won
sn1p3z
Aug 22, 14:15
Nemiga
$3.48
+$4.72
won
Luffykcs
Aug 21, 14:42
FORZE Reload
$1.00
lost
z0mb1e
Aug 21, 14:26
FORZE Reload
$1.00
lost
Forester
Aug 21, 14:21
FORZE Reload
$1.00
lost
Model Predictions (15)
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
74.1%
win probability
Nemiga
66.9%
accuracy
✓
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
74.1%
win probability
Nemiga
71.7%
accuracy
✓
NEXUS
APEX + ORACLE both >65% same direction
72.0%
win probability
Nemiga
72.9%
accuracy
✓
WR10C
Win rate top-10 + ELO + form
70.9%
win probability
Nemiga
62.8%
accuracy
✓
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
70.0%
win probability
Nemiga
62.9%
accuracy
✓
APEX
ELO + Form + Streak + SOS (optimized)
69.8%
win probability
Nemiga
66.2%
accuracy
✓
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
69.5%
win probability
Nemiga
75.9%
accuracy
✓
ELO
Team ELO rating
68.1%
win probability
Nemiga
65.4%
accuracy
✓
SQUAD
Player ratings
64.5%
win probability
Nemiga
60.5%
accuracy
✓
ELOFACE
ELO + training activity
62.1%
win probability
Nemiga
66.1%
accuracy
✓
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
62.1%
win probability
Nemiga
66.7%
accuracy
✓
ELOHQ
High-confidence ELO
54.8%
win probability
Nemiga
71.9%
accuracy
✓
SOS
Rank + form + opponent strength
53.1%
win probability
Nemiga
64.3%
accuracy
✓
FORM
Win rate last 10 matches
52.5%
win probability
FORZE Reload
54.7%
accuracy
✕
MIND
Psychology + tilt + H2H
52.4%
win probability
FORZE Reload
49.6%
accuracy
✕
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