01 · 2 legs
Safe
- Double chance FC København or draw (X2)69%
- Over 1.5 goals77%
Danish SuperligaBrøndby Stadion, Brøndby15°1,2 mm30 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: FC København's edge in this matchup is clear from their head-to-head advantage, winning four of their seven meetings against Brøndby since 2022. The small sample size suggests caution in over-emphasizing this, yet it aligns with their current form. The visitors enter this fixture riding a wave of four consecutive victories, firmly establishing their momentum in the league.
Brøndby, however, are not without their strengths. Their high-press style can disrupt opponents, but it mirrors København's approach, potentially leading to a tactical stalemate. Both teams' commitment to possession could mean periods of midfield congestion, with breakthrough moments being scarce. Despite the home side's efforts, København's slight edge is also visible in the model probabilities, where they hold a narrow 37% chance of victory compared to Brøndby's 35%.
The expected goals forecast further supports a tight contest, projecting Brøndby with 1.27 and København with 1.52. This leans towards a low-scoring affair, especially with the anticipated 6.3 mm of rain likely to affect pitch conditions and suppress fluid attacking play. The most probable scoreline of 1-1 at 12% suggests a draw is very much on the cards, with København slightly more likely to edge it at 1-2 or 0-1, each at 9%.
Considering the over/under 2.5 goals market, the 53% probability for over suggests a close call. However, given the defensive solidity and the weather conditions, leaning under may be prudent. København's superior form and historical dominance in this fixture support the model's lean toward a København edge in this contest.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Danish Superliga data since 2022.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Brøndby | FC København |
|---|---|---|
| Points | 13 | 21 |
| xPoints | 8.7 | 13.5 |
| xG per match | 1.5 | 1.6 |
| xGA per match | 1.3 | 1.2 |
| xG within 8s of winning the ball | 0.39 | 0.32 |
| xGA within 8s of losing the ball | 0.38 | 0.33 |
| Playing style | Brøndby | FC København |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.7 | 0.53 |
| xT per match | 1.4 | 0.85 |
| xTA per match | 0.87 | 0.94 |
| Won balls, offensive half | 28 | 27 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.32 | 0.26 |
| Pressing efficiency, offensive half | 0.28 | 0.24 |
| Entries into the box per match | 18 | 10 |
| Entries into the box against | 13 | 10 |
| Pass completion % | 0.79 | 0.79 |
| Pass completion % under pressure | 0.74 | 0.75 |
| Passes per match | 448 | 415 |
| Passes against per match | 319 | 406 |
| Switches of play per match | 28.6 | 30.4 |
| Long balls per match | 31 | 34 |
| Set pieces | Brøndby | FC København |
|---|---|---|
| xG from free kicks | 0.17 | 0.01 |
| Corners per match | 7.5 | 4.6 |
| Corners against per match | 4.5 | 4 |
| xG per corner | 0.02 | 0.04 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.27 | 0.41 |
| First touch, defensive corners % | 0.58 | 0.56 |
| Other | Brøndby | FC København |
|---|---|---|
| Throw-in control | 0.75 | 0.72 |
| The goalkeepers | Patrick Pentz (Brøndby) | Diant Ramaj (FC København) |
|---|---|---|
| Saves | 20 | 11 |
| Save % | 69% | 92% |
| xG prevented | 57% | 89% |
| Claims | 0 (0%) | 0 (0%) |
The model gives FC København a 37% win probability. Full 1X2 picture: Brøndby 35%, draw 27%, FC København 37%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 57% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.