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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 83.9%    VANGUARD 81.0%    TRIBUNAL 80.5%    STRONGHOLD 80.1%    NEXUS 76.5%    TIER3ELO 75.2%    ELOHQ 74.4%    TIERELO 73.3%    HIGHORACLE 73.1%    TIER2ELO 71.6%   
Last refresh: 2026-09-04 02:18 UTC · Next:
Completed
IEM Beijing 2026 Closed Qualifier · bo3 · 15:00 · 2026-09-02 · TOP · HLTV →
Model Consensus based on 13 models
MIBR
58.7%
37%
63%
3DMAX: $1.55 (1) · x2.65 Pool $4.11 MIBR: $2.56 (2) · x1.61
Predictions locked — match finished
Predictions on this match · 3 latest
b0RUP
Sep 02, 12:55
MIBR
$1.56
+$2.50
won
kRaSnaL
Sep 02, 12:49
3DMAX
$1.55
lost
tAk
Sep 02, 12:43
MIBR
$1.00
+$1.61
won
Model Predictions (13)
WR10C
Win rate top-10 + ELO + form
72.4%
win probability
MIBR
64.6%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
70.4%
win probability
MIBR
81.0%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
67.3%
win probability
3DMAX
50.5%
accuracy
SQUAD
Player ratings
64.2%
win probability
MIBR
59.7%
accuracy
ELO
Team ELO rating
63.6%
win probability
MIBR
66.8%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
61.5%
win probability
MIBR
68.3%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
MIBR
54.6%
accuracy
ELOFACE
ELO + training activity
58.9%
win probability
MIBR
67.6%
accuracy
OPEN
Rank + form + head-to-head
55.3%
win probability
MIBR
59.6%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
54.9%
win probability
MIBR
64.2%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
54.8%
win probability
MIBR
67.5%
accuracy
ELOHQ
High-confidence ELO
53.7%
win probability
MIBR
74.4%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
52.8%
win probability
MIBR
68.2%
accuracy
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