01 · 2 legs
Safe
- Double chance Salford City or draw (X2)70%
- Over 1.5 goals76%
EFL League TwoWhaddon Road, Cheltenham10°0,9 mm20 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT: Both Cheltenham Town and Salford City come into this clash with unbeaten streaks, but the market leans toward the visitors, giving them a 44% chance to win. Cheltenham's current form is bolstered by their ability to find the net, having scored in nine consecutive league matches. Meanwhile, Salford's style of possession control contrasts with Cheltenham's direct approach, hinting at an intriguing tactical battle.
Despite Cheltenham's unbeaten run, their xGA of 1.5 per match offers Salford an edge, as the visitors tend to keep tighter defensive lines. While Cheltenham holds a slight statistical advantage in actual points and the head-to-head record since 2023, the sample size of four games is too small to outweigh other factors. The expected goals suggest a close contest, with Salford slightly ahead at 1.50 to Cheltenham's 1.22. The most likely outcomes mirror this tight projection, with a 1-1 draw and a 0-1 Salford win as top probabilities.
Given these dynamics, the edge tilts slightly towards Salford. The over 2.5 goals market is balanced at 51%, indicating a cautious approach, but both teams to score at 55% seems plausible. A 1-1 or narrow 1-2 away victory feels right.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Cheltenham Town | X | 2 · Salford City |
|---|---|---|---|
| Betsafe | 3.45 | EV+ 1% 3.60 | 1.92 |
| LeoVegas | EV+ 9% 3.85 | EV+ 4% 3.70 | 1.80 |
| Nordicbet | 3.45 | EV+ 1% 3.60 | 1.92 |
Odds updated 4 Oct, 04:36
3.95 → 3.85
3.75 → 3.70
1.75 → 1.80
1.64 → 1.64
LeoVegas · 4 recorded price levels · 03/10/2026 → 04/10/2026 · 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 | Cheltenham Town | Salford City |
|---|---|---|
| Points | 15 | 10 |
| xPoints | 11.7 | 7.3 |
| xG per match | 1.1 | 1.1 |
| xGA per match | 1.5 | 1.3 |
| xG within 8s of winning the ball | 0.27 | 0.1 |
| xGA within 8s of losing the ball | 0.22 | 0.38 |
| Playing style | Cheltenham Town | Salford City |
|---|---|---|
| Build-up efficiency | 0.33 | 0.37 |
| Field tilt | 0.33 | 0.6 |
| xT per match | 0.63 | 0.87 |
| xTA per match | 1.2 | 0.67 |
| Won balls, offensive half | 22 | 24 |
| Pressing intensity | 0.24 | 0.24 |
| Pressing efficiency | 0.3 | 0.41 |
| Pressing efficiency, offensive half | 0.3 | 0.45 |
| Entries into the box per match | 7 | 15 |
| Entries into the box against | 18 | 12 |
| Pass completion % | 0.64 | 0.72 |
| Pass completion % under pressure | 0.61 | 0.66 |
| Passes per match | 257 | 362 |
| Passes against per match | 368 | 202 |
| Switches of play per match | 14.1 | 21.8 |
| Long balls per match | 25 | 31 |
| Set pieces | Cheltenham Town | Salford City |
|---|---|---|
| xG from free kicks | 0 | 0.1 |
| Corners per match | 4.4 | 6.3 |
| Corners against per match | 6.3 | 3.9 |
| xG per corner | 0.01 | 0.01 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.34 | 0.5 |
| First touch, defensive corners % | 0.62 | 0.63 |
| Other | Cheltenham Town | Salford City |
|---|---|---|
| Throw-in control | 0.65 | 0.78 |
| The goalkeepers | Wylliam Sam Stanway (Cheltenham Town) | William James Norris (Salford City) |
|---|---|---|
| Saves | 25 | 22 |
| Save % | 68% | 69% |
| xG prevented | 37% | 39% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Salford City a 44% win probability. Full 1X2 picture: Cheltenham Town 28%, draw 28%, Salford City 44%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 51% and under at 49%.
The probability of both teams scoring is 55% 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.