FC ST. Gallen vs Benfica Prediction, Tips & Odds
FC ST. Gallen vs Benfica


Match Preview
The model favours Benfica to win with a projected scoreline of 2-1. Benfica enters this match in solid form, with three wins and two draws in their last five outings. This consistency positions them well in the competition, and their ability to score goals is reflected in their matches, suggesting they will be a tough opponent for FC St. Gallen. On the other hand, FC St. Gallen has also shown impressive form, remaining unbeaten in their last five matches with four wins and one draw. While they have demonstrated a strong attacking presence, their overall performance in the competition will be tested against a historically strong side like Benfica. Their recent success could provide them with the confidence needed, but they will need to elevate their game to match Benfica's experience. The model output indicates a 61.6% probability of a Benfica victory, with a projected score of 2-1. One potential caveat for Benfica is the risk of complacency, as they may underestimate their opponents. 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 evaluates fixtures through expected goals and actual results across 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 (4.0 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 12.1% probability.
Our model projects a 0-1 Benfica win as the most likely scoreline at 12.1% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Best Betting Odds
FC ST. Gallen vs Benfica| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
Betano | 6.00 | 4.10 | 1.52 | 1.57 | 2.37 | 1.62 | 2.15 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Key Statistics
2026 Season
FC ST. Gallen have won 6 of their last 10 matches at home, drawing 3 and losing 1. Their recent home fixtures include beat FC ST. Gallen 3-2 and drew with FC ST. Gallen 1-1.
Overall, the wider run reads 13W 9D 2L from the last 24 games (54% win rate). The form line is positive, with more wins than defeats across the sample.













Benfica have won 5 of their last 9 matches on the road, drawing 3 and losing 1. Their recent away fixtures include beat Estoril 1-3 and drew with Famalicao 2-2.
Overall, the wider run reads 12W 5D 3L from the last 20 games (60% win rate). The form line is positive, with more wins than defeats across the sample.












Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 players
FC ST. Gallen
No reported absences
Benfica
No reported absences
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
The referee for this fixture has not been confirmed, so we are sitting this card market out.
Corner Prediction
FC ST. Gallen average 1.9 goals per match at home; Benfica 2.1 on the road. Open, attack-leaning sides tend to produce more corners; tight, low-event games tend to produce fewer. Our pick is over 9.5 corners at 1.72.
Player Stats Bet
Benfica have been the stronger side on attack across the season, winning 60% of their matches and averaging 2.1 goals per game. Benfica player to score or assist at 1.55 looks well supported by the data.
What's Your Prediction?
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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.









