Newcastle Jets NPL – Hurstville FC

Model: TIPPSA

Newcastle Jets NPL – Hurstville FC

PREDICTION
2
@ 3.03
StatusArchived prediction
KickoffMag 23, 2026 11:00 AM
ResultWIN0 - 1
StartStarted 3d 13h ago
V2 ConfidenceMEDIUMExpected ROI 4.96% · n=166
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 3d 23h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Newcastle Jets NPL Hurstville FC
Last 5 form L-W-L-D-W W-W-D-L-L
Avg goals scored 2.00 1.60
Avg goals conceded 2.00 1.60
Home/Away form L-L-L-W (home) W-L-L (away)
Home/Away avg goals 2.00 scored / 2.75 conceded 1.00 scored / 1.33 conceded
Shots on target 7.80 for / 8.40 against 4.60 for / 4.60 against
Home/Away shots on target 4.75 for / 4.50 against (home) 4.33 for / 7.67 against (away)

AI Match Insight

Although the selection comes at relatively high odds, the recent statistical profile appears more balanced than the market suggests. There is some statistical support behind the pick, but the historical signal is not strong enough to be aggressive.

Odds history (MaxOdd + StochasticOdds)
Start odds2.88First seen
Current3.14Now
Max odds3.14Highest point
Min odds2.50Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Newcastle Jets NPL – Hurstville FC Betting Analysis

The model currently selects 2 at odds 3.03. This prediction is generated by the TIPPSA model profile. The V2 confidence band is MEDIUM, with a historical expected ROI of 4.96% across 166 similar predictions. 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 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.
Sample11
Win Rate36.4%
Profit+1.59u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSCadiz - Leganes2.864.96%
LOSSWidzew Lodz - Piast Gliwice3.284.77%
LOSSShenzhen Xinpengcheng - Dalian Young Boy2.884.96%
LOSSDeportivo Cuenca - Tecnico Universitario3.252.94%
LOSSHuesca - Real Zaragoza3.152.92%
WINBryne - Odd BK3.282.94%
WINFinn Harps - Athlone Town3.192.92%
LOSSSolomon Kings FC - Vanuatu United2.802.92%
Pick
2 @ 3.03
Kickoff
Mag 23, 2026 11:00 AM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.96% • n=166
Start
Started 3d 13h ago
Updated
Updated 3d 23h ago
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