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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 80.0%    STRONGHOLD 77.2%    VANGUARD 75.8%    TIER3ELO 75.0%    TRIBUNAL 74.9%    NEXUS 72.8%    TIERELO 71.6%    ELOHQ 71.5%    HIGHORACLE 71.4%    TIER2ELO 70.3%   
Last refresh: 2026-10-10 18:05 UTC · Next:
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Roman Imperium Cup IXGrand Final · bo3 · 17:30 · 2026-10-10 · TOP · HLTV →
starts in …
56%
44%
FaZe: $1.31 (1) · x1.76 Pool $2.31 NAVI Junior: $1.00 (1) · x2.31
If win: — potential payout If win: —
Predictions on this match · 2 latest
erners
Oct 10, 17:37
NAVI Junior
$1.00
active
Forester
Oct 10, 17:07
FaZe
$1.31
active
Model Predictions (25)
APEX
ELO + Form + Streak + SOS (optimized)
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66.1%
accuracy
NEXUS
APEX + ORACLE both >65% same direction
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72.8%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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66.8%
accuracy
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
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71.4%
accuracy
ELO
Team ELO rating
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65.3%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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75.8%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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66.4%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
68.4%
win probability
FaZe
62.5%
accuracy
STRONGHOLD
ELO + SOS both >60% same direction
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77.2%
accuracy
ELOFACE
ELO + training activity
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66.0%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.6%
accuracy
WR10P
Pure win rate vs top-10
64.6%
win probability
NAVI Junior
51.1%
accuracy
SOS
Rank + form + opponent strength
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64.4%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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74.9%
accuracy
MIND
Psychology + tilt + H2H
59.4%
win probability
FaZe
49.9%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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52.1%
accuracy
ELOHQ
High-confidence ELO
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71.5%
accuracy
MAJOR
Rank + H2H + Form for major events
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58.8%
accuracy
XGPRO
Rank + H2H for top matches
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58.5%
accuracy
STREAK
Rank + H2H + win/loss streak
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59.8%
accuracy
TIER2
Top-teams ELO v2
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70.3%
accuracy
TIER
ELO for top-30 teams
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71.6%
accuracy
OPEN
Rank + form + head-to-head
52.4%
win probability
FaZe
57.9%
accuracy
TIER3
Top-teams ELO v3
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75.0%
accuracy
WR10
Rank + H2H + win rate vs top-10
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58.2%
accuracy
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