01 · 2 legs
Safe
- Mansfield Town to win50%
- Over 1.5 goals78%
EFL League OneOne Call Stadium, Mansfield13°18 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT: Mansfield Town's possession-oriented style and high press could be the key to unlocking a Leyton Orient side that has shown both resilience and a knack for finding the back of the net in recent matches. With Leyton Orient having scored in eight consecutive league games, the likelihood of both teams finding the net seems high, as reflected in the 57% probability for both teams to score.
The model gives the hosts a 50% chance of victory, strongly favoring Mansfield. Despite Leyton Orient's slight edge in points, 10 to Mansfield's 8, the expected points (xPoints) and expected goals (xG) metrics suggest a different story. Mansfield's xPoints of 8.6 versus Orient's 7.4 and their superior xG of 1.3 per match indicate that the home side has perhaps been underperforming relative to their underlying numbers.
The head-to-head record might hint at a tighter contest, with Orient winning two of the last four matchups. However, with such a small sample size, this historical data should be taken with a pinch of salt compared to the more robust current season metrics. Mansfield's xGA of 1.5 per match, slightly better than Orient's 1.6, further underscores their defensive capabilities.
Given the expected goals model and both teams' styles, a 1-1 draw is the most probable scoreline at 12%, though a 2-1 home win is nearly as likely at 9%. The over 2.5 goals market is a coin flip at 54%, but considering both sides' tendencies, a lean towards over might be sensible.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on League One 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 | Mansfield Town | Leyton Orient |
|---|---|---|
| Points | 8 | 10 |
| xPoints | 8.6 | 7.4 |
| xG per match | 1.3 | 0.88 |
| xGA per match | 1.5 | 1.6 |
| xG within 8s of winning the ball | 0.35 | 0.14 |
| xGA within 8s of losing the ball | 0.23 | 0.34 |
| Playing style | Mansfield Town | Leyton Orient |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.5 | 0.48 |
| xT per match | 1.1 | 0.6 |
| xTA per match | 1 | 0.96 |
| Won balls, offensive half | 30 | 25 |
| Pressing intensity | 0.22 | 0.24 |
| Pressing efficiency | 0.32 | 0.41 |
| Pressing efficiency, offensive half | 0.31 | 0.39 |
| Entries into the box per match | 14 | 9 |
| Entries into the box against | 12 | 13 |
| Pass completion % | 0.68 | 0.66 |
| Pass completion % under pressure | 0.65 | 0.61 |
| Passes per match | 282 | 262 |
| Passes against per match | 342 | 267 |
| Switches of play per match | 24.8 | 17.7 |
| Long balls per match | 36 | 21 |
| Set pieces | Mansfield Town | Leyton Orient |
|---|---|---|
| xG from free kicks | 0.03 | 0.04 |
| Corners per match | 3.7 | 3.8 |
| Corners against per match | 4.7 | 6.1 |
| xG per corner | 0.01 | 0.04 |
| xGA per corner against | 0.05 | 0.04 |
| First touch, offensive corners % | 0.46 | 0.59 |
| First touch, defensive corners % | 0.67 | 0.59 |
| Other | Mansfield Town | Leyton Orient |
|---|---|---|
| Throw-in control | 0.66 | 0.65 |
| The goalkeepers | Liam Roberts (Mansfield Town) | Nathan Joseph Baxter (Leyton Orient) |
|---|---|---|
| Saves | 12 | 16 |
| Save % | 67% | 73% |
| xG prevented | 27% | 61% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Mansfield Town a 50% win probability. Full 1X2 picture: Mansfield Town 50%, draw 26%, Leyton Orient 25%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 54% and under at 46%.
The probability of both teams scoring is 57% 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.