Monza – Juve Stabia

Model: TIPPSH

Monza – Juve Stabia

PREDICTION
1
@ 1.85
StatusArchived prediction
KickoffMag 19, 2026 10:00 PM
ResultWIN2 - 1
StartStarted 7d 11h ago
V2 ConfidenceLOWExpected ROI 1.04% · n=746
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 8d 1h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Monza Juve Stabia
Last 5 form W-D-D-L-W L-D-W-D-L
Avg goals scored 1.80 1.00
Avg goals conceded 1.60 1.20
Home/Away form W-D-W-W (home) L-W-D-D-L (away)
Home/Away avg goals 1.75 scored / 0.75 conceded 1.00 scored / 1.40 conceded
Shots on target 6.40 for / 5.00 against 2.40 for / 4.00 against
Home/Away shots on target 6.25 for / 3.50 against (home) 2.40 for / 4.80 against (away)

AI Match Insight

The odds suggest a balanced contest, but recent performance data slightly favors Monza. This selection carries a lower-confidence signal, so the risk profile remains elevated. Shot-on-target data gives additional support to Monza's attacking profile.

Odds history (MaxOdd + StochasticOdds)
Start odds1.53First seen
Current1.79Now
Max odds1.79Highest point
Min odds1.53Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Monza – Juve Stabia Betting Analysis

The model currently selects 1 at odds 1.85. This prediction is generated by the TIPPSH model profile. The V2 confidence band is LOW, with a historical expected ROI of 1.04% across 746 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.
Sample59
Win Rate44.1%
Profit-8.77u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSCape Town City - Milford FC1.911.31%
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WINPenarol Reserves - Deportivo Maldonado Reserves1.811.04%
LOSSSandefjord - Fredrikstad1.941.04%
WINChattanooga FC - Carolina Core FC1.981.04%
LOSSManauara EC - Manaus1.831.04%
WINMlawianka Mlawa - Lechia Tomaszow Mazowiecki1.801.31%
LOSSGranat Skarzysko-Kamienna - Wierna Malogoszcz2.101.31%
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Pick
1 @ 1.85
Kickoff
Mag 19, 2026 10:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.04% • n=746
Start
Started 7d 11h ago
Updated
Updated 8d 1h ago
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