01 · 2 legs
Safe
- Castellon to win77%
- Over 1.5 goals84%
Segunda División22°0,6 mm14 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
The text is factually consistent with the provided data, except for one unsupported claim: the odds "1.35 on Marathonbet" are not part of the given facts and should be removed.
A 77% probability in favor of Castellon is a strong statement by the model, and the numbers back it up decisively. The hosts boast an expected goals tally of 2.61 against Ceuta's 0.70, highlighting a chasm in offensive potency. The visitors' counter-attacking style may struggle against Castellon's possession control, especially given the rainy conditions, which could further inhibit Ceuta's already limited attacking output.
While Castellon has been on a rampage with four consecutive wins, it's worth noting that they have yet to defeat Ceuta in the two head-to-head encounters since 2023, both ending in draws. However, with such a small sample size, head-to-head results are less significant than the current form and underlying numbers, which heavily favor the home side. Castellon's dominance is further illustrated by their superior xPoints (11.8 to 5.5) and their remarkable defensive record, conceding just 0.62 xGA per match.
The most likely scorelines point to a comfortable evening for Castellon, with 2-0 (12%) and 3-0 (11%) as the top predictions. The over 2.5 goals market is showing a 64% probability, suggesting that the home team could hit the over on their own. Meanwhile, the both teams to score market sits at a modest 47%, reflecting Ceuta's struggle to find the net.
Given these dynamics, the most probable outcome is a straightforward victory for Castellon, likely a 2-0 result. The over 2.5 goals lean is supported by the expected offensive output, particularly if Castellon can exploit the visitors' defensive vulnerabilities.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Segunda División data since 2023.
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 | Castellon | Ceuta |
|---|---|---|
| Points | 16 | 1 |
| xPoints | 11.8 | 5.5 |
| xG per match | 2.1 | 0.81 |
| xGA per match | 0.62 | 1.7 |
| xG within 8s of winning the ball | 0.38 | 0.17 |
| xGA within 8s of losing the ball | 0.18 | 0.53 |
| Playing style | Castellon | Ceuta |
|---|---|---|
| Build-up efficiency | 0.32 | 0.29 |
| Field tilt | 0.75 | 0.4 |
| xT per match | 1.7 | 0.74 |
| xTA per match | 0.57 | 1.1 |
| Won balls, offensive half | 24 | 25 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.35 | 0.26 |
| Pressing efficiency, offensive half | 0.31 | 0.18 |
| Entries into the box per match | 18 | 10 |
| Entries into the box against | 9 | 12 |
| Pass completion % | 0.8 | 0.74 |
| Pass completion % under pressure | 0.77 | 0.67 |
| Passes per match | 506 | 316 |
| Passes against per match | 271 | 374 |
| Switches of play per match | 22.4 | 20.3 |
| Long balls per match | 28 | 25 |
| Set pieces | Castellon | Ceuta |
|---|---|---|
| xG from free kicks | 0.02 | 0.02 |
| Corners per match | 5.7 | 4.8 |
| Corners against per match | 3.8 | 2.8 |
| xG per corner | 0.04 | 0.03 |
| xGA per corner against | 0.03 | 0.03 |
| First touch, offensive corners % | 0.35 | 0.41 |
| First touch, defensive corners % | 0.65 | 0.59 |
| Other | Castellon | Ceuta |
|---|---|---|
| Throw-in control | 0.72 | 0.62 |
| The goalkeepers | Romain Matthys (Castellon) | Guillermo Vallejo (Ceuta) |
|---|---|---|
| Saves | 14 | 14 |
| Save % | 88% | 56% |
| xG prevented | 78% | 51% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Castellon a 77% win probability. Full 1X2 picture: Castellon 77%, draw 16%, Ceuta 8%.
The model's most likely final score is 2-0 at 12% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 47% 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.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.