Dandenong Thunder – Preston Lions

Model: TIPPSA

Dandenong Thunder – Preston Lions

PREDICTION
2
@ 2.23
StatusArchived prediction
KickoffMag 02, 2026 9:15 AM
ResultWIN0 - 1
StartStarted 25d 6h ago
V2 ConfidenceMEDIUMExpected ROI 4.31% · n=177
V4 ConfidenceMEDIUMExpected ROI 4.31% · n=177
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 15h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Dandenong Thunder Preston Lions
Last 5 form L-W-W-D-W W-D-W-D-L
Avg goals scored 1.40 1.40
Avg goals conceded 0.80 1.00
Home/Away form L-D-W (home) W-D-W-D-W (away)
Home/Away avg goals 0.67 scored / 0.67 conceded 2.20 scored / 0.40 conceded
Shots on target 5.40 for / 4.00 against 4.60 for / 3.80 against
Home/Away shots on target 5.00 for / 3.00 against (home) 5.50 for / 4.00 against (away)

AI Match Insight

Recent form does not create a strong separation, making the confidence band especially important here. This sits in a middle confidence range, suggesting a balanced but not especially dominant setup.

Odds history (MaxOdd + StochasticOdds)
Start odds2.55First seen
Current2.25Now
Max odds2.55Highest point
Min odds2.20Lowest point
VolatilityHighStable range
TrendDroppingShort term
Model insight

Dandenong Thunder – Preston Lions Betting Analysis

The model currently selects 2 at odds 2.23. This prediction is generated by the TIPPSA model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 4.31% and 4.31%. Historical expected profitability for this profile is positive, but the edge appears more moderate. 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 prediction received strong market support after the first appearance. Early prices historically produced the best long-term performance for this model profile. 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.
Sample137
Win Rate44.5%
Profit-0.67u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSSC Kiryat Yam - Maccabi Petah Tikva2.253.43%
LOSSGlasgow City (W) - Rangers (W)2.052.63%
LOSSLobos UPNFM Reserves - CD Marathon Reserves2.182.63%
LOSSRadnik Bijeljina - Borac Banja Luka2.182.63%
LOSSADO Den Haag (W) - PEC Zwolle (W)2.254.13%
WINGuayaquil City - Orense2.483.59%
LOSSAFC Hermannstadt - FCSB2.263.31%
LOSSKasimpasa - Galatasaray2.273.31%
Pick
2 @ 2.23
Kickoff
Mag 02, 2026 9:15 AM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.31% • n=177
Confidence V4
Exp. ROI V4
4.31% • n=177
Start
Started 25d 6h ago
Updated
Updated 25d 15h ago
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