01 · 2 legs
Safe
- Plymouth Argyle to win52%
- Over 1.5 goals77%
EFL League OneBrisbane Road, London16°1,6 mm14 km/h
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Sofia Andersson · · The model's read on the match · How the predictions work
TEXT: Plymouth Argyle's 52% probability of winning stands out, driven by a recent streak of three consecutive victories and an xG of 1.5 per match, compared to Leyton Orient's 0.88. The visitors' direct playing style aligns with their edge in both expected goals and points this season. The most likely scorelines, 1-1 and 1-2, suggest a competitive match but lean towards Argyle's favour, reinforced by the hosts' higher expected goals against (1.6).
Leyton Orient may be on a scoring streak, having found the net in their last eight league matches, yet the underlying numbers cast doubt on their ability to continue this trend against a more potent Argyle. The model suggests the visitors' low defence could effectively neutralize the O's balanced and physical approach. With an expected goals tally of 1.20 for the hosts, opportunities might be limited, especially given Argyle's marginally better defensive record.
In terms of betting value, the model's projection aligns with Plymouth Argyle's superior xPoints (11.7 vs 7.4). While the over 2.5 goals line at 53% suggests some potential for goals, the strategic play is to back the visitors for a narrow win, likely 0-1 or 1-2.
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 | Leyton Orient | Plymouth Argyle |
|---|---|---|
| Points | 10 | 13 |
| xPoints | 7.4 | 11.7 |
| xG per match | 0.88 | 1.5 |
| xGA per match | 1.6 | 1.4 |
| xG within 8s of winning the ball | 0.14 | 0.47 |
| xGA within 8s of losing the ball | 0.34 | 0.28 |
| Playing style | Leyton Orient | Plymouth Argyle |
|---|---|---|
| Build-up efficiency | 0.3 | 0.3 |
| Field tilt | 0.48 | 0.45 |
| xT per match | 0.6 | 0.84 |
| xTA per match | 0.96 | 1.1 |
| Won balls, offensive half | 25 | 32 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.41 | 0.33 |
| Pressing efficiency, offensive half | 0.39 | 0.35 |
| Entries into the box per match | 9 | 9 |
| Entries into the box against | 13 | 11 |
| Pass completion % | 0.66 | 0.59 |
| Pass completion % under pressure | 0.61 | 0.6 |
| Passes per match | 262 | 202 |
| Passes against per match | 267 | 347 |
| Switches of play per match | 17.7 | 10.3 |
| Long balls per match | 21 | 28 |
| Set pieces | Leyton Orient | Plymouth Argyle |
|---|---|---|
| xG from free kicks | 0.04 | 0.04 |
| Corners per match | 3.8 | 6 |
| Corners against per match | 6.1 | 5.3 |
| xG per corner | 0.04 | 0.03 |
| xGA per corner against | 0.04 | 0.02 |
| First touch, offensive corners % | 0.59 | 0.26 |
| First touch, defensive corners % | 0.59 | 0.49 |
| Other | Leyton Orient | Plymouth Argyle |
|---|---|---|
| Throw-in control | 0.65 | 0.75 |
| The goalkeepers | Nathan Joseph Baxter (Leyton Orient) | Murphy Joseph Mahoney Cooper (Plymouth Argyle) |
|---|---|---|
| Saves | 16 | 10 |
| Save % | 73% | 50% |
| xG prevented | 61% | 30% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Plymouth Argyle a 52% win probability. Full 1X2 picture: Leyton Orient 22%, draw 25%, Plymouth Argyle 52%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 56% 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.