01 · 2 legs
Safe
- Double chance FC København or draw (X2)71%
- Over 1.5 goals79%
Danish SuperligaNature Energy Park, Odense16°28 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
FAKTA: Model probabilities: Odense Boldklub 32%, draw 25%, FC Copenhagen 43%. Model lean: FC Copenhagen. Most likely scorelines: 1-1 (12%), 1-2 (9%), 0-1 (9%). Expected goals: Odense Boldklub 1.27, FC Copenhagen 1.64. Over 2.5 goals: 56%. Both teams to score: 58%. Playing style: Odense Boldklub profiles as possession & high press, FC Copenhagen as possession & high press. Head-to-head since 2022: 4 matches, Odense Boldklub 1W 2D 1L. Points: Odense Boldklub 5 vs FC Copenhagen 15 (edge FC Copenhagen) xPoints: Odense Boldklub 8.2 vs FC Copenhagen 9.2 (edge FC Copenhagen) xG per match: Odense Boldklub 1.6 vs FC Copenhagen 1.5 (edge Odense Boldklub) xGA per match: Odense Boldklub 1.4 vs FC Copenhagen 1.3 (edge FC Copenhagen)
Corrected TEXT:
Odense's stronghold, the midfield, is where this contest may well hinge. Despite trailing FC Copenhagen by ten points in the standings, the hosts have demonstrated a knack for maximizing possession and employing a high press — a style that mirrors their opponent's approach. Yet, the intricacies lie in the execution, where Odense's higher expected goals per match of 1.6 slightly edge out the visitors' 1.5, hinting at an intriguing offensive potential.
Yet, the numbers don't lie about Copenhagen's edge. With a model probability giving them a 43% chance to take three points, it’s clear the visitors come in as favorites. Their superior xG Against (1.3 compared to Odense’s 1.4) suggests a defensive discipline that could prove decisive, especially on the road.
Still, Odense won't be easily subdued. The small sample size of their head-to-head record since 2022 — four matches, with one win, two draws, and one loss for Odense — shows a fairly even affair overall, though Copenhagen holds a slight edge. This suggests that when these teams clash, few clear patterns emerge from the past — making current form and expected goals more telling.
The forecast of over 2.5 goals occurring 56% of the time aligns with the attacking tendencies both teams exhibit. The likelihood of both teams scoring sits slightly higher at 58%, reflecting their shared proclivity for offensive action. So, while the statistical model leans towards a Copenhagen victory, Odense's potential to disrupt should not be discounted. A predicted 1-1 draw at 12% is the most probable outcome according to the model, closely followed by a 1-2 away win at 9%.
While far from a certainty, the model’s lean toward FC Copenhagen suggests an edge worth considering in a match where fine margins and tactical execution will decide the victor.
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 | Odense | FC København |
|---|---|---|
| Points | 5 | 15 |
| xPoints | 8.2 | 9.2 |
| xG per match | 1.6 | 1.5 |
| xGA per match | 1.4 | 1.3 |
| xG within 8s of winning the ball | 0.31 | 0.37 |
| xGA within 8s of losing the ball | 0.23 | 0.34 |
| Playing style | Odense | FC København |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.48 | 0.56 |
| xT per match | 1.4 | 0.82 |
| xTA per match | 1.1 | 0.92 |
| Won balls, offensive half | 26 | 30 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.28 | 0.27 |
| Pressing efficiency, offensive half | 0.25 | 0.25 |
| Entries into the box per match | 13 | 11 |
| Entries into the box against | 16 | 10 |
| Pass completion % | 0.78 | 0.79 |
| Pass completion % under pressure | 0.72 | 0.73 |
| Passes per match | 410 | 431 |
| Passes against per match | 399 | 392 |
| Switches of play per match | 25.1 | 31.2 |
| Long balls per match | 29 | 33 |
| Set pieces | Odense | FC København |
|---|---|---|
| xG from free kicks | 0.02 | 0.01 |
| Corners per match | 5.7 | 4.7 |
| Corners against per match | 7.4 | 3.7 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.01 | 0.03 |
| First touch, offensive corners % | 0.21 | 0.46 |
| First touch, defensive corners % | 0.64 | 0.5 |
| Other | Odense | FC København |
|---|---|---|
| Throw-in control | 0.71 | 0.73 |
| The goalkeepers | Viljar Myhra (Odense) | Marcos Lopez (FC København) |
|---|---|---|
| Saves | 11 | 7 |
| Save % | 65% | 100% |
| xG prevented | 46% | 100% |
| Claims | 0 (0%) | 0 (0%) |
The model gives FC København a 43% win probability. Full 1X2 picture: Odense 32%, draw 25%, FC København 43%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 58% 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.