01 · 2 legs
Safe
- Double chance Oldham Athletic or draw (1X)70%
- Over 1.5 goals78%
EFL League TwoBoundary Park, Oldham13°17 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
The FACTS do not include any betting odds (e.g., "2.50 with Bet365"), so this specific figure is an unsupported addition to the text.
CORRECTED TEXT:
Oldham Athletic might be nursing a three-game losing streak, but that's likely misleading the market. Their underlying numbers tell a different story. Despite those recent losses, Oldham's expected goals (xG) per match stands at 1.4, notably higher than Salford City's 1.1. The hosts also have a superior xG within eight seconds of winning the ball, underscoring their capacity for rapid, incisive play. This could prove pivotal against a Salford side that thrives on possession but often struggles to turn it into tangible threats.
Salford's possession-based style might control the tempo, yet it rarely translates into overwhelming attacking pressure. Their expected goals against (xGA) per match sits at 1.4, indicating vulnerability at the back, which Oldham is well-equipped to exploit. The hosts' xGA of 1.2 suggests a slight edge defensively, too. With both teams to score clocking in at 57%, the numbers hint at each side finding the net, but the tilt is towards Oldham capitalizing on their high-octane approach.
The head-to-head record, with Oldham losing both encounters since 2023, offers a limited and potentially deceptive sample. It pales in comparison to the current analytical metrics. The model assigns Oldham a 40% chance of victory, a lean that aligns with their superior xPoints tally of 10.5 against Salford's 5.8. The most probable outcomes, featuring a 1-1 draw at 12% and a 2-1 win for the hosts at 9%, indicate a slight nod towards Oldham, albeit in a tight contest.
Bookmakers may overlook the subtle strengths of Oldham's direct style. Their edge in expected goals and rapid transition play, combined with their higher likelihood of converting chances, suggests value in backing the hosts. Keep an eye on this as the sharp angle, as Oldham is positioned to break their losing run.
01 · 2 legs
02 · 3 legs
03 · 4 legs
| Bookmaker | 1 · Oldham Athletic | X | 2 · Salford City |
|---|---|---|---|
| Betsafe | 2.45 | 3.40 | 2.65 |
| Betsson | 2.45 | 3.40 | 2.65 |
| Nordicbet | 2.45 | 3.40 | 2.65 |
| Pinnacle | 2.43 | 3.44 | 2.77 |
Odds updated 25 Sept, 16:35
Market signal
The market has moved clearly towards under 2.5 goals since 20 September — the odds have shortened from 2.24 to 2.05 (−8%).
2.40 → 2.43
3.59 → 3.44
2.71 → 2.77
1.63 → 1.76
Pinnacle · 7 recorded price levels · 20/09/2026 → 25/09/2026 · fixed scale 5 percentage points
Head-to-head based on League Two 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 | Oldham Athletic | Salford City |
|---|---|---|
| Points | 7 | 7 |
| xPoints | 10.5 | 5.8 |
| xG per match | 1.4 | 1.1 |
| xGA per match | 1.2 | 1.4 |
| xG within 8s of winning the ball | 0.39 | 0.09 |
| xGA within 8s of losing the ball | 0.1 | 0.44 |
| Playing style | Oldham Athletic | Salford City |
|---|---|---|
| Build-up efficiency | 0.37 | 0.37 |
| Field tilt | 0.5 | 0.58 |
| xT per match | 0.84 | 0.78 |
| xTA per match | 0.98 | 0.69 |
| Won balls, offensive half | 31 | 23 |
| Pressing intensity | 0.21 | 0.24 |
| Pressing efficiency | 0.32 | 0.42 |
| Pressing efficiency, offensive half | 0.3 | 0.45 |
| Entries into the box per match | 12 | 15 |
| Entries into the box against | 10 | 13 |
| Pass completion % | 0.65 | 0.72 |
| Pass completion % under pressure | 0.63 | 0.66 |
| Passes per match | 254 | 357 |
| Passes against per match | 327 | 196 |
| Switches of play per match | 18.1 | 22.4 |
| Long balls per match | 38 | 31 |
| Set pieces | Oldham Athletic | Salford City |
|---|---|---|
| xG from free kicks | 0.03 | 0.11 |
| Corners per match | 5.5 | 5.3 |
| Corners against per match | 4.5 | 3.7 |
| xG per corner | 0.03 | 0.01 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.55 | 0.44 |
| First touch, defensive corners % | 0.58 | 0.64 |
| Other | Oldham Athletic | Salford City |
|---|---|---|
| Throw-in control | 0.75 | 0.81 |
| The goalkeepers | Mathew Anthony Hudson (Oldham Athletic) | William James Norris (Salford City) |
|---|---|---|
| Saves | 14 | 20 |
| Save % | 64% | 69% |
| xG prevented | 55% | 39% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Oldham Athletic a 40% win probability. Full 1X2 picture: Oldham Athletic 40%, draw 28%, Salford City 32%.
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 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.