01 · 2 legs
Safe
- Double chance Nordsjælland or draw (X2)68%
- Over 1.5 goals81%
Danish SuperligaParken, København17°2,5 mm28 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
FC København have historically had the upper hand against Nordsjælland, securing four wins in their last six encounters. However, this head-to-head record feels increasingly fragile as we examine the current dynamics. Nordsjælland's recent form is impressive, with three consecutive victories underscoring their upward trajectory. While the hosts have a historical edge in this fixture, the small sample size of six games tempers its significance compared to the present form.
The model sees both teams with an equal 36% chance of winning, a rare symmetry suggesting a tightly contested affair. Nordsjælland's recent performances certainly support this assessment. They've not only gathered more points (10) than København (9) but also exhibit superior underlying metrics. Their expected goals per match (2.5) dwarf those of the home side (1.1), and they maintain a tighter defensive line, conceding just 0.72 xGA compared to København's 1.5.
The odds lean towards a high-scoring game, with a model prediction of over 2.5 goals at 59% and both teams to score at 61%. Yet, the heavy rain expected could dampen scoring opportunities, although this is already factored into the overall probabilities. Given these conditions, the most probable scorelines, such as 1-1 and 1-2, sit well within the model's forecast, echoing the narrative of a close and competitive clash.
For bettors, the real value lies with Nordsjælland. Their current form, coupled with superior xG metrics, suggests they could unsettle the hosts. While not a guarantee, the data-driven edge tilts favorably towards the visitors, offering a potentially profitable angle for this encounter.
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 | FC København | Nordsjælland |
|---|---|---|
| Points | 9 | 10 |
| xPoints | 4.3 | 7.8 |
| xG per match | 1.1 | 2.5 |
| xGA per match | 1.5 | 0.72 |
| xG within 8s of winning the ball | 0.14 | 0.29 |
| xGA within 8s of losing the ball | 0.48 | 0.05 |
| Playing style | FC København | Nordsjælland |
|---|---|---|
| Build-up efficiency | 0.32 | 0.35 |
| Field tilt | 0.56 | 0.73 |
| xT per match | 0.75 | 1.8 |
| xTA per match | 0.93 | 0.31 |
| Won balls, offensive half | 25 | 33 |
| Pressing intensity | 0.23 | 0.22 |
| Pressing efficiency | 0.27 | 0.27 |
| Pressing efficiency, offensive half | 0.24 | 0.24 |
| Entries into the box per match | 10 | 26 |
| Entries into the box against | 11 | 7 |
| Pass completion % | 0.8 | 0.84 |
| Pass completion % under pressure | 0.74 | 0.78 |
| Passes per match | 439 | 607 |
| Passes against per match | 377 | 327 |
| Switches of play per match | 35.3 | 27.6 |
| Long balls per match | 33 | 36 |
| Set pieces | FC København | Nordsjælland |
|---|---|---|
| xG from free kicks | 0 | 0.16 |
| Corners per match | 4.8 | 9.1 |
| Corners against per match | 4.8 | 3.8 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.03 |
| First touch, offensive corners % | 0.42 | 0.44 |
| First touch, defensive corners % | 0.42 | 0.6 |
| Other | FC København | Nordsjælland |
|---|---|---|
| Throw-in control | 0.74 | 0.75 |
| The goalkeepers | Dominik Kotarski (FC København) | Andreas Hansen (Nordsjælland) |
|---|---|---|
| Saves | 6 | 11 |
| Save % | 67% | 92% |
| xG prevented | 61% | 49% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Nordsjælland a 36% win probability. Full 1X2 picture: FC København 36%, draw 28%, Nordsjælland 36%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 59% and under at 41%.
The probability of both teams scoring is 61% 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.