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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 81.2%    VANGUARD 78.5%    STRONGHOLD 77.7%    TRIBUNAL 77.0%    TIER3ELO 75.9%    NEXUS 74.5%    ELOHQ 73.7%    HIGHORACLE 73.3%    TIERELO 72.8%    TIER2ELO 71.4%   
Last refresh: 2026-09-18 02:50 UTC · Next:
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SL StarSeries Fall 2026 · Bo3 · 12:30 · OTHER
starts in
34%
66%
MIBR: $1.17 (1) · x2.87 Pool $3.36 magic: $2.19 (2) · x1.53
If win: potential payout If win:
Predictions on this match · 3 latest
Shawk
Sep 18, 00:53
magic
$1.00
active
Ne1XXX
Sep 18, 00:53
magic
$1.19
active
hazr
Sep 18, 00:53
MIBR
$1.17
active
Model Predictions (25)
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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67.9%
accuracy
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
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73.3%
accuracy
NEXUS
APEX + ORACLE both >65% same direction
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74.5%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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66.9%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.8%
accuracy
ELO
Team ELO rating
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66.0%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
72.2%
win probability
MIBR
63.6%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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78.5%
accuracy
WR10C
Win rate top-10 + ELO + form
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63.6%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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52.7%
accuracy
STRONGHOLD
ELO + SOS both >60% same direction
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77.7%
accuracy
ELOFACE
ELO + training activity
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66.9%
accuracy
SOS
Rank + form + opponent strength
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65.3%
accuracy
SENTINEL
Anti-signal: SOS >60% confirmed by Mind anti-prediction
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81.2%
accuracy
WR10P
Pure win rate vs top-10
58.3%
win probability
magic
52.6%
accuracy
MIND
Psychology + tilt + H2H
57.9%
win probability
magic
49.6%
accuracy
ELOHQ
High-confidence ELO
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73.7%
accuracy
SQUAD
Player ratings
54.7%
win probability
MIBR
59.9%
accuracy
TIER
ELO for top-30 teams
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72.8%
accuracy
TIER2
Top-teams ELO v2
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71.4%
accuracy
WR10
Rank + H2H + win rate vs top-10
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59.9%
accuracy
TIER3
Top-teams ELO v3
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75.9%
accuracy
XGPRO
Rank + H2H for top matches
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59.6%
accuracy
MAJOR
Rank + H2H + Form for major events
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59.8%
accuracy
STREAK
Rank + H2H + win/loss streak
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60.9%
accuracy
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