Strasbourg vs Monaco Prediction, Tips & Odds
Strasbourg vs Monaco
Match Preview
The model favours Monaco to win this match against Strasbourg, projecting a scoreline of 2-1. Monaco currently sits in 6th place in Ligue 1, having played one match this season, which they won without conceding a goal. Their recent form shows strong momentum, with four wins in their last five matches, signalling an effective attacking strategy and a solid defence. Strasbourg, on the other hand, is positioned 8th but has played two matches, securing only one win and suffering one loss. Their goal difference of -3 indicates defensive vulnerabilities, as they have conceded five goals while scoring just two. With a mixed form of one win, one draw, and three losses in their last five matches, Strasbourg will need to improve significantly to challenge Monaco effectively. The model suggests a win probability of around 60% for Monaco, with a projected score of 2-1. However, a potential caveat lies in Strasbourg's ability to leverage home advantage, which can sometimes lead to unexpected performances. For a detailed understanding of how we reached this prediction, please refer to the "How We Reached This Prediction" section. The Daily Punt Analysis Team employs an in-house model that analyses expected goals and actual results throughout the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Combined goal output is high (3.5 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 13.5% probability.
Monaco have been the stronger side, winning 56% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 13.5% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 5 bookmakers. Monaco are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Strasbourg vs Monaco| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 3.38 | 3.88 | 2.09 | 1.50 | 2.38 | 1.46 | 2.52 | |
| 3.30 | 3.80 | 2.10 | 1.53 | 2.45 | 1.44 | 2.63 | |
| 3.37 | 3.89 | 2.11 | 1.56 | 2.55 | — | — | |
| 3.06 | 3.60 | 2.06 | — | — | — | — | |
| 3.10 | 3.50 | 2.05 | — | — | 1.50 | 2.50 | |
| 3.40 | 3.90 | 2.00 | 1.53 | 2.50 | 1.50 | 2.50 | |
| 3.44 | 3.94 | 2.12 | 1.50 | 2.38 | 1.46 | 2.56 | |
Betano | 3.30 | 3.80 | 2.07 | 1.57 | 2.47 | 1.50 | 2.50 |
BetVictor | 3.20 | 3.90 | 2.05 | 1.50 | 2.36 | 1.44 | 2.55 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 10 Meetings (Monaco leads 6-2)In the last ten matches between Strasbourg and Monaco, Monaco has won 6 times, Strasbourg has won 2 times, and there have been 2 draws. The scorelines indicate a tendency for Monaco to secure victories with several matches featuring clear margins, such as 3-0 and 4-3. Strasbourg's wins have been less frequent and often narrow, with their last victory occurring in early 2026. The overall record suggests Monaco has had a stronger hold in these encounters, with more dominant performances compared to Strasbourg's limited success.
Ligue 1 Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Monaco | 5 | 4 | 1 | 0 | 8 | 3 | 5 | 13 | WDWWW |
| 2 |  Lyon | 5 | 3 | 2 | 0 | 10 | 2 | 8 | 11 | WDWDW |
| 3 |  Paris FC | 5 | 3 | 2 | 0 | 8 | 3 | 5 | 11 | WDWWD |
| 4 |  Lille | 5 | 3 | 1 | 1 | 8 | 4 | 4 | 10 | LWWDW |
| 5 |  Rennes | 5 | 3 | 1 | 1 | 8 | 9 | -1 | 10 | LWWWD |
| 6 |  Paris Saint Germain | 5 | 2 | 2 | 1 | 8 | 7 | 1 | 8 | WWLDD |
| 8 | Strasbourg | 5 | 2 | 1 | 2 | 10 | 10 | 0 | 7 | LDWWL |
| 16 |  Estac Troyes | 5 | 1 | 1 | 3 | 4 | 11 | -7 | 4 | LLLWD |
| 17 |  Marseille | 5 | 1 | 0 | 4 | 7 | 8 | -1 | 3 | LLLLW |
| 18 |  Le Havre | 5 | 0 | 2 | 3 | 4 | 7 | -3 | 2 | LDLDL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonStrasbourg have won 8 of their last 19 matches at home, drawing 4 and losing 7. Their recent home fixtures include drew with Strasbourg 1-1 and beat Strasbourg 2-1.
Overall, the wider run reads 13W 8D 15L from the last 36 games (36% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Monaco have won 8 of their last 17 matches on the road, drawing 4 and losing 5. Their recent away fixtures include drew with Strasbourg 1-1 and beat Paris Saint Germain 1-2.
Overall, the wider run reads 18W 7D 7L from the last 32 games (56% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
ConfirmedStrasbourgConfirmed
MonacoConfirmed
Unavailable Players
7 playersStrasbourg2
Monaco5
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
Eric Wattellier has been appointed as the referee for this fixture. We don't yet have enough recent fixtures officiated by Eric Wattellier to give a confident card-market projection. Our default lean is under 3.5 yellow cards at 1.95.
Corner Prediction
Strasbourg have averaged 3.0 corners per match at home; Monaco 3.7 on the road. Combined that projects roughly 4.3 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Monaco have generated 1.73 xG per game across their recent matches, winning 56% of them. They put 5.6 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Monaco player to score or assist at 1.55 looks well supported by the data.
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
