Odense vs Brondby Prediction, Tips & Odds
Odense vs Brondby
Match Preview
The model favours Brondby to win, projecting a scoreline of 2-1 against Odense. Brondby currently sits in 5th place in the Superliga, having secured 13 points from their 9 matches. Their season has been marked by a mix of wins and losses, but they have managed to score 12 goals, which indicates a relatively potent attack, despite conceding 15 goals. This balance suggests that while they may struggle defensively, their ability to find the net gives them an edge in this matchup. Odense, on the other hand, is positioned 9th and has struggled in the early part of the season with just 9 points from 9 matches. Their goal difference of -6 highlights a defensive vulnerability, conceding 14 goals while scoring only 8. With a record of 2 wins, 3 draws, and 4 losses, Odense's form reflects some inconsistency, particularly illustrated by their recent results, which include 2 wins, 1 draw, and 2 losses over their last five matches. The model indicates a win probability of 55% for Brondby, with a projected score of 2-1. One caveat to consider is that if Odense can capitalize on any defensive lapses from Brondby, they could potentially upset the prediction. The full methodology behind this prediction can be found in the "How We Reached This Prediction" section, as our in-house model evaluates fixtures based on 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 (3.1 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 14.0% probability.
Brondby have been the stronger side, winning 33% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 14.0% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 4 bookmakers. Brondby 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
Odense vs Brondby| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 3.02 | 3.64 | 2.13 | 1.60 | 2.25 | 1.51 | 2.35 | |
| 3.00 | 3.80 | 2.10 | — | — | — | — | |
| 3.14 | 3.69 | 2.17 | 1.63 | 2.30 | — | — | |
| 2.90 | 3.40 | 2.15 | — | — | 1.50 | 2.45 | |
| 3.02 | 3.64 | 2.15 | 1.60 | 2.25 | 1.51 | 2.39 | |
Betano | 3.10 | 3.70 | 2.18 | 1.65 | 2.32 | 1.52 | 2.42 |
BetVictor | 3.00 | 3.50 | 2.10 | 1.58 | 2.18 | 1.50 | 2.40 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 10 Meetings (Brondby leads 6-1)In the last 10 matches between Odense and Brondby, Brondby has won 6 times, Odense has won once, and there have been 3 draws. The scorelines indicate a generally one-sided affair, with Brondby achieving several convincing victories, including a 4-0 and a 5-1 win. Odense's only victory was a narrow 2-1 win in July 2023, which contrasts sharply with the heavy defeats they have suffered, such as three matches where they conceded three goals or more. The frequency of draws suggests that while Odense can compete, they have struggled to secure wins against Brondby historically.
Superliga Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  FC Copenhagen | 10 | 8 | 0 | 2 | 24 | 10 | 14 | 24 | LWWWW |
| 2 |  FC Midtjylland | 10 | 6 | 4 | 0 | 19 | 10 | 9 | 22 | WDWDW |
| 3 |  Viborg | 10 | 6 | 2 | 2 | 17 | 8 | 9 | 20 | WWDLW |
| 4 |  FC Nordsjaelland | 10 | 5 | 3 | 2 | 14 | 10 | 4 | 18 | DLWDL |
| 5 | Brondby | 10 | 5 | 1 | 4 | 17 | 17 | 0 | 16 | WLLLL |
| 6 |  AC Horsens | 10 | 3 | 3 | 4 | 18 | 19 | -1 | 12 | DDLWL |
| 9 | Odense | 10 | 2 | 4 | 4 | 8 | 14 | -6 | 10 | DDWLD |
| 10 |  Lyngby | 10 | 1 | 4 | 5 | 12 | 21 | -9 | 7 | LLDWD |
| 11 |  Aarhus | 9 | 0 | 5 | 4 | 11 | 17 | -6 | 5 | DLDLL |
| 12 |  Sonderjyske | 9 | 1 | 2 | 6 | 12 | 21 | -9 | 5 | WDLLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonOdense have won 8 of their last 15 matches at home, drawing 2 and losing 5. Their recent home fixtures include drew with Odense 1-1 and lost to Odense 1-2.
Overall, the wider run reads 13W 7D 14L from the last 34 games (38% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Brondby have won 4 of their last 13 matches on the road, drawing 3 and losing 6. Their recent away fixtures include beat Vejle 1-2 and lost to FC Midtjylland 4-1.
Overall, the wider run reads 12W 9D 15L from the last 36 games (33% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 playersOdense
No reported absences
Brondby
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
Odense have averaged 6.5 corners per match at home; Brondby 6.6 on the road. Combined that projects roughly 7.5 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Brondby have generated 1.24 xG per game across their recent matches, winning 33% of them. They put 3.8 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Brondby player to score at 1.85 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.
