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Match Prediction Engine
Top models accuracy · top-tier TRIBUNAL 81.7%    SENTINEL 81.1%    STRONGHOLD 79.9%    VANGUARD 75.3%    TIER3ELO 75.0%    NEXUS 73.0%    TIERELO 73.0%    ELOHQ 71.1%    TIER2ELO 70.8%    HIGHORACLE 68.2%   
Last refresh: 2026-08-01 23:20 UTC · Next:
Completed
CCT 2026 Europe Series 5 Closed Qualifier · Live · 13:00 · 2026-07-15 · OTHER · HLTV →

SAW Youngsters

Model Consensus based on 15 models
SAW Youngsters
65.0%
64%
36%
megoshort: $2.20 (2) · x1.55 Pool $3.41 SAW Youngsters: $1.21 (1) · x2.82
Predictions locked — match finished
Predictions on this match · 3 latest
Chill
Jul 14, 10:58
SAW Youngsters
$1.21
+$3.41
won
forkyz
Jul 14, 10:53
megoshort
$1.00
lost
Xom
Jul 14, 10:42
megoshort
$1.20
lost
Model Predictions (15)
SQUAD
Player ratings
97.3%
win probability
SAW Youngsters
58.7%
accuracy
WR10C
Win rate top-10 + ELO + form
78.7%
win probability
SAW Youngsters
62.2%
accuracy
VANGUARD
Sharp consensus: ELO + WR10 both >65% same direction
75.1%
win probability
SAW Youngsters
75.3%
accuracy
ELO
Team ELO rating
71.5%
win probability
SAW Youngsters
64.3%
accuracy
ELOFACE
ELO + training activity
64.5%
win probability
SAW Youngsters
64.9%
accuracy
FORM
Win rate last 10 matches
62.3%
win probability
SAW Youngsters
53.2%
accuracy
OPEN
Rank + form + head-to-head
60.7%
win probability
SAW Youngsters
59.6%
accuracy
XGPRO
Rank + H2H for top matches
60.7%
win probability
SAW Youngsters
62.1%
accuracy
MAJOR
Rank + H2H + Form for major events
60.7%
win probability
SAW Youngsters
62.4%
accuracy
TRIBUNAL
OPEN + PRO + ORACLE all >55% same direction
60.5%
win probability
SAW Youngsters
81.7%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
60.3%
win probability
SAW Youngsters
64.9%
accuracy
SOS
Rank + form + opponent strength
57.3%
win probability
SAW Youngsters
64.2%
accuracy
MIND
Psychology + tilt + H2H
56.1%
win probability
SAW Youngsters
50.8%
accuracy
ELOHQ
High-confidence ELO
55.6%
win probability
SAW Youngsters
71.1%
accuracy
APEX
ELO + Form + Streak + SOS (optimized)
55.2%
win probability
SAW Youngsters
64.0%
accuracy
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