Aubagne Air Bel – Stade Briochin

Model: TIPPSA

Aubagne Air Bel – Stade Briochin

PREDICTION
2
@ 2.76
StatusArchived prediction
KickoffMag 01, 2026 9:30 PM
ResultWIN1 - 2
StartStarted 25d 14h ago
V2 ConfidenceHIGHExpected ROI 5.70% · n=134
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 26d 2h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Aubagne Air Bel Stade Briochin
Last 5 form L-L-L-W-D W-L-D-D
Avg goals scored 1.00 1.00
Avg goals conceded 1.80 1.00
Home/Away form L-L-D (home) W-D (away)
Home/Away avg goals 0.67 scored / 1.67 conceded 1.50 scored / 1.00 conceded
Shots on target 2.80 for / 4.80 against 3.50 for / 3.00 against
Home/Away shots on target 2.33 for / 3.67 against (home) 2.50 for / 3.00 against (away)

AI Match Insight

The current odds imply an underdog profile, although recent performances indicate a more competitive matchup. Historical model performance remains supportive, with similar HIGH underdog setups showing encouraging long-term results.

Odds history (MaxOdd + StochasticOdds)
Start odds2.76First seen
Current3.05Now
Max odds3.05Highest point
Min odds2.76Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Aubagne Air Bel – Stade Briochin Betting Analysis

The model currently selects 2 at odds 2.76. This prediction is generated by the TIPPSA model profile. The V2 confidence band is HIGH, with a historical expected ROI of 5.70% across 134 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.
Sample23
Win Rate39.1%
Profit+2.56u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSFC Kitzbuhel - Hohenems2.827.70%
WINMaccabi Panthers Ashdod (W) - FC Ramat Hasharon (W)2.837.70%
LOSSDeportivo Moquegua - AD Tarma2.946.31%
LOSSMadura United - Bali United2.825.70%
LOSSBayer Leverkusen - RB Leipzig3.006.31%
LOSSNantes (W) - Lyon (W)3.016.31%
LOSSBronshoj BK - Horsholm-Usserod IK2.796.31%
LOSSLarissa - Kifisias FC2.865.70%
Pick
2 @ 2.76
Kickoff
Mag 01, 2026 9:30 PM
Confidence
CONF: HIGH
Exp. ROI V2
Exp. ROI 5.70% • n=134
Start
Started 25d 14h ago
Updated
Updated 26d 2h ago
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