Manly Utd (W) – University NSW (W)

Model: TipA1

Manly Utd (W) – University NSW (W)

PREDICTION
2
@ 2.10
StatusArchived prediction
KickoffMag 03, 2026 11:00 AM
ResultWIN1 - 2
StartStarted 24d 4h ago
V2 ConfidenceNONEExpected ROI -1.48% · n=553
V4 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
Confidence bands summarize the historical reliability of similar model predictions. ROI and sample size refer to previous tips in the same model profile.
Updated Updated 25d 14h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Manly Utd (W) University NSW (W)
Last 5 form L-L-W-L-W W-D-W-W-W
Avg goals scored 2.00 2.60
Avg goals conceded 1.40 0.80
Home/Away form L-W-W (home) W-D-W (away)
Home/Away avg goals 2.33 scored / 0.67 conceded 2.67 scored / 1.00 conceded
Shots on target 4.80 for / 3.60 against 5.40 for / 2.60 against
Home/Away shots on target 5.33 for / 2.00 against (home) 4.00 for / 2.67 against (away)

AI Match Insight

The price is not extreme, and recent results provide a reasonable statistical basis for the pick. The model does not assign a strong confidence profile here, making the pick more speculative.

Odds history (MaxOdd + StochasticOdds)
Start odds1.73First seen
Current2.10Now
Max odds2.10Highest point
Min odds1.73Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Manly Utd (W) – University NSW (W) Betting Analysis

The model currently selects 2 at odds 2.10. This prediction is generated by the TipA1 model profile. The V2 confidence band is NONE, with a historical expected ROI of -1.48% across 553 similar predictions. The model profile is supported by a broad historical sample, making the long-term estimate more informative. The odds history chart above summarizes market movement, volatility and the latest available price before kickoff. The bookmaker panel currently monitored by StochasticBet includes Bet365, Pinnacle, Bwin, Unibet and 1XBet. The market moved significantly against the initial model price before kickoff. Historically, large late odds increases may indicate external factors not fully captured by the statistical framework. High pre-match volatility suggests increased uncertainty and rapidly changing market conditions. Model performance can deteriorate during unstable football calendar phases, such as early-season matches, post-international-break rounds and late-season fixtures with unusual motivation or rotation patterns.
Sample106
Win Rate55.7%
Profit+16.55u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINBrisbane Olympic FC - Lions FC2.00-1.48%
LOSSFK Zhenys (W) - FK Kyzylzhar (W)2.05-1.48%
WINAlbion FC Reserves - Boston River Reserves2.20-1.48%
WINSao Paulo U20 (W) - Flamengo U20 (W)2.10-3.85%
WINJagiellonia Bialystok U19 - Gornik Zabrze U192.05-1.48%
LOSSJK Tallinna Kalev II - FC Levadia Tallinn U192.10-1.48%
WINFA 2000 - Nykobing2.15-1.48%
LOSSAtletico Ottawa - Forge FC2.00-1.48%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Anioly Garczegorze - Arka Gdynia II22.10-1.48%27 May 18:00
Supra du Quebec - Inter Toronto22.00-1.48%30 May 01:00
Pick
2 @ 2.10
Kickoff
Mag 03, 2026 11:00 AM
Confidence
CONF: NONE
Exp. ROI V2
Exp. ROI -1.48% • n=553
Start
Started 24d 4h ago
Updated
Updated 25d 14h ago
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