01 · 2 legs
Safe
- Double chance Doncaster Rovers or draw (1X)67%
- Over 1.5 goals76%
EFL League OneEco-Power Stadium, Doncaster14°18 km/h
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Sofia Andersson · · The model's read on the match · How the predictions work
The FACTS do not mention any bookmaker odds. The reference to "William Hill odds on a home win at 2.30" is unsupported and should be removed.
CORRECTED TEXT:
A razor-thin margin separates these two teams statistically, but the model clearly leans towards Doncaster Rovers, giving them a 43% chance of victory over Oxford United's 29% with a 27% probability of a draw. Crucially, the most likely scoreline is 1-1 at 13%, closely followed by 1-0 and 2-1 in favor of the hosts, each at 9%. It's a narrow window, but one that suggests Doncaster's edge in expected goals (1.43 vs. 1.28) could tilt the scales.
The playing styles of both squads mirror each other, with both preferring to control possession, which might lead to a midfield battle that stifles clear scoring opportunities. Nevertheless, the hosts have been more effective in converting possession into tangible results. They're sitting on 10.2 xPoints compared to Oxford's 6.9, indicating that their performances have often outstripped what their point total suggests.
Doncaster's defensive metrics further bolster their cause. Their expected goals against per match is a manageable 1.2, significantly better than Oxford's 1.7. This could prove crucial in a tight contest where a single goal might be the difference. Overshadowed by Oxford in actual points, Doncaster's underlying numbers portray a more competitive side than the table suggests.
For those eyeing value, the model's own numbers paint a picture of a side more likely to edge this encounter. With 51% probability for over 2.5 goals and a 55% chance of both teams scoring, the match leans slightly towards a higher scoreline, yet the hosts seem poised to edge a narrow win.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Doncaster Rovers | Oxford United |
|---|---|---|
| Points | 6 | 11 |
| xPoints | 10.2 | 6.9 |
| xG per match | 1.3 | 1.2 |
| xGA per match | 1.2 | 1.7 |
| xG within 8s of winning the ball | 0.19 | 0.12 |
| xGA within 8s of losing the ball | 0.32 | 0.4 |
| Playing style | Doncaster Rovers | Oxford United |
|---|---|---|
| Build-up efficiency | 0.33 | 0.28 |
| Field tilt | 0.42 | 0.55 |
| xT per match | 1.1 | 0.78 |
| xTA per match | 0.95 | 0.9 |
| Won balls, offensive half | 25 | 17 |
| Pressing intensity | 0.24 | 0.24 |
| Pressing efficiency | 0.34 | 0.38 |
| Pressing efficiency, offensive half | 0.32 | 0.32 |
| Entries into the box per match | 11 | 12 |
| Entries into the box against | 16 | 15 |
| Pass completion % | 0.67 | 0.73 |
| Pass completion % under pressure | 0.64 | 0.67 |
| Passes per match | 285 | 338 |
| Passes against per match | 289 | 226 |
| Switches of play per match | 22.9 | 22.8 |
| Long balls per match | 34 | 28 |
| Set pieces | Doncaster Rovers | Oxford United |
|---|---|---|
| xG from free kicks | 0.06 | 0.02 |
| Corners per match | 5 | 4.3 |
| Corners against per match | 6.3 | 7.1 |
| xG per corner | 0.02 | 0.01 |
| xGA per corner against | 0.02 | 0.05 |
| First touch, offensive corners % | 0.32 | 0.31 |
| First touch, defensive corners % | 0.62 | 0.67 |
| Other | Doncaster Rovers | Oxford United |
|---|---|---|
| Throw-in control | 0.74 | 0.77 |
| The goalkeepers | Tommy James Simkin (Doncaster Rovers) | Simon Christopher Eastwood (Oxford United) |
|---|---|---|
| Saves | 17 | 13 |
| Save % | 65% | 72% |
| xG prevented | 50% | 70% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Doncaster Rovers a 43% win probability. Full 1X2 picture: Doncaster Rovers 43%, draw 27%, Oxford United 29%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 51% and under at 49%.
The probability of both teams scoring is 55% 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.