Nantes (W) – Lyon (W)

Model: TIPPSA

Nantes (W) – Lyon (W)

PREDICTION
2
@ 2.61
StatusArchived prediction
KickoffApr 29, 2026 9:00 PM
ResultLOSS1 - 1
StartStarted 27d 3h ago
V2 ConfidenceMEDIUMExpected ROI 4.44% · n=196
V4 ConfidenceMEDIUMExpected ROI 4.44% · n=196
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 27d 5h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Nantes (W) Lyon (W)
Last 5 form D-W D-L-W-W-W
Avg goals scored 1.50 3.20
Avg goals conceded 0.50 0.60
Home/Away form D (home) D-L-W (away)
Home/Away avg goals 1.00 scored / 1.00 conceded 2.67 scored / 1.00 conceded
Shots on target 5.50 for / 2.50 against 5.75 for / 4.50 against
Home/Away shots on target 8.00 for / 4.00 against (home) 4.00 for / 5.33 against (away)

AI Match Insight

Despite entering the match at a generous price, Lyon (W) has produced enough positive indicators to justify attention. This sits in a middle confidence range, suggesting a balanced but not especially dominant setup.

Odds history (MaxOdd + StochasticOdds)
Start odds2.15First seen
Current2.66Now
Max odds3.26Highest point
Min odds2.15Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Nantes (W) – Lyon (W) Betting Analysis

The model currently selects 2 at odds 2.61. This prediction is generated by the TIPPSA model profile. Both V2 and V4 profiles currently show MEDIUM confidence, with historical expected ROI values of 4.44% and 4.44%. 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.
Sample111
Win Rate40.5%
Profit+4.15u
Historical Similar Predictions
ResultMatchOddExp. ROI
LOSSCadiz - Leganes2.864.96%
LOSSNK Radomlje - NS Mura2.554.13%
WINHelsingborg - Varbergs BoIS FC2.634.13%
WINGuayaquil City - Orense2.483.59%
WINAlmagro - San Martin SJ2.624.44%
WINPolonia Bytom - Slask Wroclaw2.573.31%
WINFH Hafnarfjordur - KA Akureyri2.544.44%
LOSSMotor Lublin - Cracovia Krakow2.533.31%
Active Similar Predictions
MatchPickOddExp. ROIKickoff
Retro FC Brasil - America RN22.703.31%30 Apr 02:30
Pick
2 @ 2.61
Kickoff
Apr 29, 2026 9:00 PM
Confidence
CONF: MEDIUM
Exp. ROI V2
Exp. ROI 4.44% • n=196
Confidence V4
Exp. ROI V4
4.44% • n=196
Start
Started 27d 3h ago
Updated
Updated 27d 5h ago
Torna in alto