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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 75.8%    STRONGHOLD 74.1%    TIER3ELO 72.9%    VANGUARD 72.4%    TRIBUNAL 70.9%    NEXUS 70.8%    ELOHQ 69.9%    TIERELO 69.6%    HIGHORACLE 69.3%    TIER2ELO 68.6%   
Last refresh: 2026-10-27 12:46 UTC · Next:
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DFRAG Invitational 2026 · bo3 · 09:00 · 2026-10-28 · OTHER · HLTV →
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Model Consensus based on 3 models
Abyssal
58.9%
50%
50%
Abyssal: $1.00 (1) · x2.00 Pool $2.00 Rooster: $1.00 (1) · x2.00
If win: — potential payout If win: —
Predictions on this match · 2 latest
sliimey
Oct 27, 10:51
Rooster
$1.00
active
lucky
Oct 27, 10:40
Abyssal
$1.00
active
Model Predictions (19)
SURGE
Best-improving player K-D trajectory across team starters
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51.5%
accuracy
SQUAD
Player ratings
75.5%
win probability
Abyssal
60.3%
accuracy
WR10C
Win rate top-10 + ELO + form
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61.9%
accuracy
ELO
Team ELO rating
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64.3%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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64.8%
accuracy
MIND
Psychology + tilt + H2H
55.8%
win probability
Abyssal
49.8%
accuracy
ELOFACE
ELO + training activity
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65.1%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
55.0%
win probability
Rooster
61.6%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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65.4%
accuracy
MAJOR
Rank + H2H + Form for major events
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58.1%
accuracy
XGPRO
Rank + H2H for top matches
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57.8%
accuracy
WR10
Rank + H2H + win rate vs top-10
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57.1%
accuracy
STREAK
Rank + H2H + win/loss streak
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59.0%
accuracy
ELOHQ
High-confidence ELO
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69.9%
accuracy
SOS
Rank + form + opponent strength
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63.5%
accuracy
TIER2
Top-teams ELO v2
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68.6%
accuracy
TIER
ELO for top-30 teams
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69.6%
accuracy
TIER3
Top-teams ELO v3
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72.9%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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65.1%
accuracy
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