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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 75.8%    STRONGHOLD 74.5%    TIER3ELO 72.7%    VANGUARD 72.5%    TRIBUNAL 71.0%    NEXUS 70.5%    ELOHQ 70.1%    TIERELO 70.1%    HIGHORACLE 69.2%    TIER2ELO 68.8%   
Last refresh: 2026-11-05 17:23 UTC · Next:
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ESL Challenger League Season 52 Europe Cup 10Grand Final · bo3 · 21:00 · 2026-11-05 · OTHER · HLTV →
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RBLS

Model Consensus based on 4 models
PCIFIC
64.3%
34%
66%
RBLS: $1.45 (1) · x2.88 Pool $4.18 PCIFIC: $2.73 (2) · x1.53
If win: — potential payout If win: —
Predictions on this match · 3 latest
V
vlady
Nov 05, 16:51
PCIFIC
$1.54
active
Inspire
Nov 05, 16:03
RBLS
$1.45
active
crow89
Nov 05, 15:50
PCIFIC
$1.19
active
Model Predictions (21)
SURGE
Best-improving player K-D trajectory across team starters
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51.8%
accuracy
SQUAD
Player ratings
78.9%
win probability
PCIFIC
60.3%
accuracy
WR10C
Win rate top-10 + ELO + form
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62.3%
accuracy
FORM
Win rate last 10 matches
64.6%
win probability
PCIFIC
55.4%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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64.7%
accuracy
ELO
Team ELO rating
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64.5%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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71.0%
accuracy
OPEN
Rank + form + head-to-head
58.2%
win probability
PCIFIC
57.8%
accuracy
XGPRO
Rank + H2H for top matches
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58.1%
accuracy
MAJOR
Rank + H2H + Form for major events
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58.3%
accuracy
ELOFACE
ELO + training activity
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65.2%
accuracy
SOS
Rank + form + opponent strength
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63.9%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.3%
win probability
PCIFIC
60.9%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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64.4%
accuracy
ELOHQ
High-confidence ELO
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70.1%
accuracy
STREAK
Rank + H2H + win/loss streak
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59.5%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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64.8%
accuracy
TIER
ELO for top-30 teams
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70.1%
accuracy
TIER2
Top-teams ELO v2
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68.8%
accuracy
TIER3
Top-teams ELO v3
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72.7%
accuracy
WR10
Rank + H2H + win rate vs top-10
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57.3%
accuracy
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