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Match Prediction Engine
Top models accuracy · top-tier SENTINEL 80.8%    TRIBUNAL 80.6%    STRONGHOLD 79.7%    TIER3ELO 74.7%    VANGUARD 74.0%    TIERELO 72.4%    NEXUS 72.0%    ELOHQ 70.8%    TIER2ELO 70.2%    HIGHORACLE 67.2%   
Last refresh: 2026-07-25 10:33 UTC · Next:
⚠ HLTV team change

Was MOUZ NXT vs Leo before HLTV updated the bracket. Match now shows MOUZ NXT vs BRUTE on HLTV. Your existing wager moved with the slot — if you wagered on the original pair and want to cancel, use the wager panel below.

Upcoming
Urban Riga Open Season 6 · bo1 · 18:30 · 2026-07-27 · OTHER · HLTV →
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Model Consensus based on 4 models
BRUTE
55.2%
If win: potential payout If win:
Model Predictions (22)
WR10C
Win rate top-10 + ELO + form
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61.7%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
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74.0%
accuracy
ELO
Team ELO rating
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63.6%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
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63.6%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
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62.6%
accuracy
ELOFACE
ELO + training activity
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64.3%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
62.1%
win probability
BRUTE
57.8%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
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64.4%
accuracy
FORM
Win rate last 10 matches
59.9%
win probability
BRUTE
53.2%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
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80.6%
accuracy
SURGE
Best-improving player K-D trajectory across team starters
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46.3%
accuracy
SQUAD
Player ratings
56.2%
win probability
MOUZ NXT
58.3%
accuracy
SOS
Rank + form + opponent strength
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63.4%
accuracy
OPEN
Rank + form + head-to-head
55.4%
win probability
BRUTE
59.6%
accuracy
XGPRO
Rank + H2H for top matches
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61.6%
accuracy
MAJOR
Rank + H2H + Form for major events
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61.9%
accuracy
ELOHQ
High-confidence ELO
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70.8%
accuracy
TIER
ELO for top-30 teams
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72.4%
accuracy
TIER2
Top-teams ELO v2
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70.2%
accuracy
TIER3
Top-teams ELO v3
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74.7%
accuracy
WR10
Rank + H2H + win rate vs top-10
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63.5%
accuracy
STREAK
Rank + H2H + win/loss streak
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62.6%
accuracy
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