Sunshine Coast Wanderers – St George Willawong FC

Model: TIPPSH

Sunshine Coast Wanderers – St George Willawong FC

PREDICTION
1
@ 1.99
StatusArchived prediction
KickoffMag 16, 2026 12:00 PM
ResultPending
StartStarted 10d 23h ago
V2 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
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 11d 2h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Sunshine Coast Wanderers St George Willawong FC
Last 5 form L-D-W-L-W L-W-L-D-L
Avg goals scored 1.80 0.80
Avg goals conceded 2.00 2.20
Home/Away form W (home) W-L-D-L-D (away)
Home/Away avg goals 5.00 scored / 2.00 conceded 1.00 scored / 2.00 conceded
Shots on target 5.60 for / 5.00 against 1.67 for / 3.67 against
Home/Away shots on target 10.00 for / 4.00 against (home) 0.50 for / 3.00 against (away)

AI Match Insight

This looks like a competitive matchup, although the form profile gives the selected side some support. The model does not assign a strong confidence profile here, making the pick more speculative. Sunshine Coast Wanderers has produced stronger recent offensive pressure in terms of shots on target.

Odds history (MaxOdd + StochasticOdds)
Start odds1.80First seen
Current1.99Now
Max odds1.99Highest point
Min odds1.80Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Sunshine Coast Wanderers – St George Willawong FC Betting Analysis

The model currently selects 1 at odds 1.99. This prediction is generated by the TIPPSH model profile. 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.
Pick
1 @ 1.99
Kickoff
Mag 16, 2026 12:00 PM
Confidence
CONF: ?
Start
Started 10d 23h ago
Updated
Updated 11d 2h ago
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