Sydney University (W) – Western Sydney Wanderers (W)

Model: TipTromba35H

Sydney University (W) – Western Sydney Wanderers (W)

PREDICTION
1
@ 3.25
StatusArchived prediction
KickoffMag 17, 2026 11:00 AM
ResultWIN3 - 0
StartStarted 9d 14h ago
V2 ConfidenceHIGHExpected ROI 7.77% · n=42
V4 ConfidenceHIGHExpected ROI 7.77% · n=42
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 9d 17h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Sydney University (W) Western Sydney Wanderers (W)
Last 5 form W-W-L-W-W N/A
Avg goals scored 3.00 N/A
Avg goals conceded 1.60 N/A
Home/Away form W-W-L-W-W (home) N/A (away)
Home/Away avg goals 3.00 scored / 1.80 conceded N/A scored / N/A conceded
Shots on target 6.40 for / 6.20 against N/A for / N/A against
Home/Away shots on target 7.80 for / 7.80 against (home) N/A for / N/A against (away)

AI Match Insight

While the odds remain elevated, the underlying metrics suggest the selection may be more competitive than the market implies. Historical model performance remains supportive, with similar HIGH underdog setups showing encouraging long-term results.

Odds history (MaxOdd + StochasticOdds)
Start odds2.75First seen
Current3.25Now
Max odds3.25Highest point
Min odds2.75Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Sydney University (W) – Western Sydney Wanderers (W) Betting Analysis

The model currently selects 1 at odds 3.25. This prediction is generated by the TipTromba35H model profile. Both V2 and V4 profiles currently show HIGH confidence, with historical expected ROI values of 7.77% and 7.77%. Historical expected profitability for this profile has been well above average, although future outcomes remain sensitive to market and team-news conditions. The available sample size is still relatively limited, which may increase performance variability. 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.
Sample6
Win Rate83.3%
Profit+9.80u
Historical Similar Predictions
ResultMatchOddExp. ROI
WINBK Fremad Valby (W) - Odense BK II (W)3.005.42%
WINHapoel Nir Ramat Hasharon U19 - Hapoel Raanana U193.205.42%
WINLaunceston United (W) - South Hobart (W)3.105.42%
WINGrotta Seltjarnarnes - IF Vestri3.105.42%
LOSSIndependiente Yumbo - Aguilas Doradas3.307.77%
WINFylkir Reykjavik - FH Hafnarfjordur3.407.77%
Pick
1 @ 3.25
Kickoff
Mag 17, 2026 11:00 AM
Confidence
CONF: HIGH
Exp. ROI V2
Exp. ROI 7.77% • n=42
Confidence V4
Exp. ROI V4
7.77% • n=42
Start
Started 9d 14h ago
Updated
Updated 9d 17h ago
Torna in alto