01 · 2 legs
Safe
- Salford City to win57%
- Over 1.5 goals75%
EFL League TwoPeninsula Stadium, Salford16°0,2 mm18 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
Salford City's recent form is a glaring concern as they host Newport County, with the home side grappling with a four-match losing streak. Despite their control-oriented style, they've been unable to convert possession into results. The probabilities favor Salford with a 57% chance of victory, but their recent slump casts a shadow over this prediction. Most likely scorelines are tight, with both 1-1 and 1-0 outcomes given an 11% chance each.
Newport County, on the other hand, have shown a slight edge in head-to-head encounters since 2023, albeit from a small sample of four matches. They've earned four points to Salford's zero, a clear indication of their ability to disrupt the hosts' rhythm. Their direct, defensive approach has yielded better xG (1.3) compared to Salford's meager 0.84 per match. Yet, both sides show vulnerabilities at the back, with Newport slightly better in terms of expected goals against (xGA).
The expected goals for this match project Salford at 1.76 and Newport at 0.95, suggesting a tighter game than the model probabilities might imply. The hosts are more likely to score, yet Newport's resilience can't be overlooked. Given this, a cagey affair with a 1-0 scoreline seems probable, although a 1-1 draw isn't far off.
The over/under 2.5 goals and both teams to score markets sit evenly at 51%, reflecting the tight nature of this matchup. While goals might be scarce, the odds for a Newport win at 5.4 with Betsafe, Betsson, and Nordicbet present a tantalizing value bet, showing a 7% edge over the model's rating of a 20% chance for the visitors. For those willing to stake on Salford's ongoing struggles, this option offers potential reward amidst the uncertainties.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Salford City | X | 2 · Newport County |
|---|---|---|---|
| Betsafe | 1.58 | 3.85 | EV+ 7% 5.40 |
| Betsson | 1.58 | 3.85 | EV+ 7% 5.40 |
| Nordicbet | 1.58 | 3.85 | EV+ 7% 5.40 |
| Pinnacle | 1.52 | EV+ 4% 4.43 | EV+ 16% 5.86 |
Odds updated 1 Sept, 11:35
1.54 → 1.52
4.15 → 4.43
5.53 → 5.86
Pinnacle · 8 recorded price levels · 30/08/2026 → 01/09/2026 · 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 | Salford City | Newport County |
|---|---|---|
| Points | 0 | 4 |
| xPoints | 1.9 | 4.8 |
| xG per match | 0.84 | 1.3 |
| xGA per match | 1.7 | 1.5 |
| xG within 8s of winning the ball | 0.15 | 0.13 |
| xGA within 8s of losing the ball | 0.74 | 0.41 |
| Playing style | Salford City | Newport County |
|---|---|---|
| Build-up efficiency | 0.37 | 0.33 |
| Field tilt | 0.59 | 0.38 |
| xT per match | 0.6 | 0.85 |
| xTA per match | 0.72 | 0.94 |
| Won balls, offensive half | 21 | 30 |
| Pressing intensity | 0.25 | 0.23 |
| Pressing efficiency | 0.44 | 0.33 |
| Pressing efficiency, offensive half | 0.48 | 0.32 |
| Entries into the box per match | 14 | 12 |
| Entries into the box against | 13 | 16 |
| Pass completion % | 0.75 | 0.48 |
| Pass completion % under pressure | 0.68 | 0.51 |
| Passes per match | 382 | 126 |
| Passes against per match | 201 | 306 |
| Switches of play per match | 29.4 | 13.8 |
| Long balls per match | 37 | 32 |
| Set pieces | Salford City | Newport County |
|---|---|---|
| xG from free kicks | 0.13 | 0.21 |
| Corners per match | 4.3 | 4.7 |
| Corners against per match | 4 | 7.7 |
| xG per corner | 0.01 | 0.05 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.46 | 0.29 |
| First touch, defensive corners % | 0.67 | 0.74 |
| Other | Salford City | Newport County |
|---|---|---|
| Throw-in control | 0.8 | 0.76 |
| The goalkeepers | William James Norris (Salford City) | Jordan Wright (Newport County) |
|---|---|---|
| Saves | 7 | 7 |
| Save % | 58% | 54% |
| xG prevented | 28% | 22% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Salford City a 57% win probability. Full 1X2 picture: Salford City 57%, draw 24%, Newport County 20%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 51% and under at 49%.
The probability of both teams scoring is 51% 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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.