01 · 2 legs
Safe
- Salford City to win52%
- Under 3.5 goals79%
EFL League TwoPeninsula Stadium, Salford15°14,2 mm19 km/h
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Sofia Andersson · · The model's read on the match · How the predictions work
The FACTS do not include any bookmaker odds (e.g., Pinnacle) or references to "implied odds" for a Salford City win. This is an unsupported claim added by the text.
TEXT (corrected):
With a 52% win probability, Salford City enters their clash against Fleetwood with the model’s backing. Despite this, their head-to-head record since 2023 reveals a slight obstacle: Salford has yet to secure a victory in four encounters, with three draws and one defeat. The sample size is small, however, and less significant than current form and underlying statistics.
Salford’s possession-focused approach contrasts with Fleetwood’s defensive and direct style, likely leading to a cautious affair. Expected goals metrics offer Salford a narrow advantage, projecting 1.43 to Fleetwood's 0.92. Yet, Fleetwood's actual point tally (10) and xPoints (7.2) better Salford's 7 and 5.8, which adds a layer of intrigue. This hint of overperformance by the visitors might narrow the gap seen in model probabilities.
The numbers point to a low-scoring match, with a 42% probability of over 2.5 goals and a modest 46% for both teams scoring. The most probable outcomes are 1-0 or 1-1, each at 13%, suggesting a close contest. Given these figures, the under 2.5 goals market presents a reasonable angle.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Salford City | Fleetwood Town |
|---|---|---|
| Points | 7 | 10 |
| xPoints | 5.8 | 7.2 |
| xG per match | 1.1 | 1.1 |
| xGA per match | 1.4 | 1.4 |
| xG within 8s of winning the ball | 0.09 | 0.13 |
| xGA within 8s of losing the ball | 0.44 | 0.2 |
| Playing style | Salford City | Fleetwood Town |
|---|---|---|
| Build-up efficiency | 0.37 | 0.34 |
| Field tilt | 0.58 | 0.51 |
| xT per match | 0.78 | 0.99 |
| xTA per match | 0.69 | 1 |
| Won balls, offensive half | 23 | 29 |
| Pressing intensity | 0.24 | 0.22 |
| Pressing efficiency | 0.42 | 0.35 |
| Pressing efficiency, offensive half | 0.45 | 0.37 |
| Entries into the box per match | 15 | 11 |
| Entries into the box against | 13 | 11 |
| Pass completion % | 0.72 | 0.66 |
| Pass completion % under pressure | 0.66 | 0.66 |
| Passes per match | 357 | 281 |
| Passes against per match | 196 | 281 |
| Switches of play per match | 22.4 | 18.6 |
| Long balls per match | 31 | 31 |
| Set pieces | Salford City | Fleetwood Town |
|---|---|---|
| xG from free kicks | 0.11 | 0.06 |
| Corners per match | 5.3 | 4.8 |
| Corners against per match | 3.7 | 5.2 |
| xG per corner | 0.01 | 0.04 |
| xGA per corner against | 0.02 | 0.03 |
| First touch, offensive corners % | 0.44 | 0.45 |
| First touch, defensive corners % | 0.64 | 0.53 |
| Other | Salford City | Fleetwood Town |
|---|---|---|
| Throw-in control | 0.81 | 0.67 |
| The goalkeepers | William James Norris (Salford City) | Jay Lynch (Fleetwood Town) |
|---|---|---|
| Saves | 20 | 15 |
| Save % | 69% | 68% |
| xG prevented | 39% | 35% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Salford City a 52% win probability. Full 1X2 picture: Salford City 52%, draw 27%, Fleetwood Town 21%.
The model's most likely final score is 1-0 at 13% probability.
The model rates over 2.5 goals at 42% and under at 58%.
The probability of both teams scoring is 46% 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.