FC Champagne Sport – Stade Lausanne-Ouchy II

Model: TIPPSH

FC Champagne Sport – Stade Lausanne-Ouchy II

PREDICTION
1
@ 2.11
StatusUpcoming
KickoffMag 27, 2026 10:00 PM
ResultPending
StartStarts in 11h 25m
V2 ConfidenceLOWExpected ROI 1.04% · n=5438
V4 ConfidenceLOWExpected ROI 1.63% · n=470
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 6m ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric FC Champagne Sport Stade Lausanne-Ouchy II
Last 5 form N/A L-W
Avg goals scored N/A 4.00
Avg goals conceded N/A 5.00
Home/Away form N/A (home) W (away)
Home/Away avg goals N/A scored / N/A conceded 6.00 scored / 3.00 conceded
Shots on target N/A for / N/A against 6.50 for / 9.00 against
Home/Away shots on target N/A for / N/A against (home) 7.00 for / 7.00 against (away)

AI Match Insight

The price and recent metrics both point to a relatively open contest. Confidence remains limited, so this should be read as a cautious lean rather than a strong prediction.

Odds history (MaxOdd + StochasticOdds)
Start odds1.85First seen
Current2.11Now
Max odds2.11Highest point
Min odds1.85Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

FC Champagne Sport – Stade Lausanne-Ouchy II Betting Analysis

The model currently selects 1 at odds 2.11. This prediction is generated by the TIPPSH model profile. Both V2 and V4 profiles currently show LOW confidence, with historical expected ROI values of 1.04% and 1.63%. 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.
Sample62
Win Rate48.4%
Profit-0.53u
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WINChattanooga FC - Carolina Core FC1.981.04%
LOSSGranat Skarzysko-Kamienna - Wierna Malogoszcz2.101.31%
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LOSSTPS U21 - FC Honka U212.081.04%
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Pick
1 @ 2.11
Kickoff
Mag 27, 2026 10:00 PM
Confidence
CONF: LOW
Exp. ROI V2
Exp. ROI 1.04% • n=5438
Confidence V4
Exp. ROI V4
1.63% • n=470
Start
Starts in 11h 25m
Updated
Updated 6m ago
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