01 · 2 legs
Safe
- Double chance Oldham Athletic or draw (X2)73%
- Under 3.5 goals72%
EFL League TwoSpotland, Rochdale12°8,2 mm21 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
TEXT (corrected):
Oldham Athletic's recent performances suggest a decisive edge over Rochdale, with the visitors holding a commanding position in terms of both actual and expected metrics. The sample size of their head-to-head matchups is limited, so it provides minimal insight compared to current form and expected goals data. The visitors' underlying numbers translate into tangible results, as they lead on points (7 to Rochdale's 3) and expected points (8.5 to 4.3).
Rochdale's possession-based style clashes with Oldham's low defence and direct approach, creating a tactical mismatch in the latter's favor. The hosts have struggled offensively, averaging a mere 0.78 xG per match, which is significantly lower than Oldham's 1.6 xG. Defensively, Rochdale concedes more, with an xGA of 1.5 compared to Oldham's 1.1. This suggests a persistent gap in both offensive creation and defensive solidity.
Given the expected goals of 1.12 for Rochdale and 1.53 for Oldham, the match leans towards a low-scoring affair. The predicted most likely scorelines—1-1, 0-1, and 1-2—support this, pointing towards Oldham's potential to edge out a narrow victory. The weather forecast, with rain expected, could further dampen goal-scoring opportunities, though this is already accounted for in the model's projections.
The sharpest angle for bettors lies in the value on an Oldham Athletic win. The model probabilities give Oldham a 45% chance of victory, suggesting this is an attractive bet. While the over/under 2.5 goals is finely balanced at 49%, the smart money leans slightly under, especially considering the weather's likely impact on play.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | Rochdale | Oldham Athletic |
|---|---|---|
| Points | 3 | 7 |
| xPoints | 4.3 | 8.5 |
| xG per match | 0.78 | 1.6 |
| xGA per match | 1.5 | 1.1 |
| xG within 8s of winning the ball | 0.07 | 0.42 |
| xGA within 8s of losing the ball | 0.25 | 0.06 |
| Playing style | Rochdale | Oldham Athletic |
|---|---|---|
| Build-up efficiency | 0.3 | 0.37 |
| Field tilt | 0.47 | 0.5 |
| xT per match | 0.64 | 0.49 |
| xTA per match | 0.86 | 1.1 |
| Won balls, offensive half | 17 | 29 |
| Pressing intensity | 0.21 | 0.2 |
| Pressing efficiency | 0.3 | 0.32 |
| Pressing efficiency, offensive half | 0.23 | 0.27 |
| Entries into the box per match | 7 | 11 |
| Entries into the box against | 13 | 10 |
| Pass completion % | 0.77 | 0.64 |
| Pass completion % under pressure | 0.72 | 0.61 |
| Passes per match | 379 | 239 |
| Passes against per match | 252 | 340 |
| Switches of play per match | 22.3 | 18.5 |
| Long balls per match | 33 | 35 |
| Set pieces | Rochdale | Oldham Athletic |
|---|---|---|
| xG from free kicks | 0 | 0.04 |
| Corners per match | 4.3 | 6.3 |
| Corners against per match | 5.3 | 5.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.04 | 0.01 |
| First touch, offensive corners % | 0.29 | 0.52 |
| First touch, defensive corners % | 0.62 | 0.59 |
| Other | Rochdale | Oldham Athletic |
|---|---|---|
| Throw-in control | 0.75 | 0.74 |
| The goalkeepers | Nils Ramming (Rochdale) | Mathew Anthony Hudson (Oldham Athletic) |
|---|---|---|
| Saves | 14 | 11 |
| Save % | 58% | 73% |
| xG prevented | 31% | 55% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Oldham Athletic a 45% win probability. Full 1X2 picture: Rochdale 31%, draw 24%, Oldham Athletic 45%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 49% and under at 51%.
The probability of both teams scoring is 53% 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.