Nantes (W) – Lyon (W)

Model: TIPPSA

Nantes (W) – Lyon (W)

PREDICTION
2
@ 2.97
StatusArchived prediction
KickoffApr 29, 2026 9:00 PM
ResultLOSS1 - 1
StartStarted 27d 3h ago
V2 ConfidenceHIGHExpected ROI 6.31% · n=124
V4 ConfidenceHIGHExpected ROI 6.31% · n=124
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 7h 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

The market offers a relatively high price, but recent statistical trends still provide meaningful support for Lyon (W). The HIGH confidence band is important here: similar higher-priced setups have historically produced positive model results.

Odds history (MaxOdd + StochasticOdds)
Start odds2.25First seen
Current2.99Now
Max odds3.05Highest point
Min odds2.15Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Nantes (W) – Lyon (W) Betting Analysis

The model currently selects 2 at odds 2.97. This prediction is generated by the TIPPSA model profile. Both V2 and V4 profiles currently show HIGH confidence, with historical expected ROI values of 6.31% and 6.31%. 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 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.
Sample26
Win Rate46.2%
Profit+8.82u
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%
WINAubagne Air Bel - Stade Briochin2.765.70%
WINStrasbourg (W) - Le Havre (W)3.025.70%
LOSSBronshoj BK - Horsholm-Usserod IK2.796.31%
Pick
2 @ 2.97
Kickoff
Apr 29, 2026 9:00 PM
Confidence
CONF: HIGH
Exp. ROI V2
Exp. ROI 6.31% • n=124
Confidence V4
Exp. ROI V4
6.31% • n=124
Start
Started 27d 3h ago
Updated
Updated 27d 7h ago
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