01 · 2 legs
Safe
- Walsall to win49%
- Under 3.5 goals77%
EFL League TwoBescot Stadium, Walsall16°14,9 mm15 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT:
Walsall's advantage over Accrington Stanley is visible in nearly every metric. With a 49% chance of victory, the model leans heavily toward the hosts. The most likely scorelines, 1-1 and 1-0, suggest a tight contest, but the expected goals (1.48 for Walsall vs. 0.98 for Stanley) indicate a clearer edge for the home side. Their superior xG and xPoints further bolster this confidence, suggesting Walsall's attacking efficiency could carve out a win.
The head-to-head record is too small to dominate the narrative, split evenly at one win each alongside two draws. Thus, the recent form and expected goals should carry more weight. The weather, projected to bring 6.0 mm of rain, might dampen offensive efforts but is factored into the model's calculations already. With both teams relying on counter attacks and crosses, the slippery conditions could lead to more aerial duels and fewer ground passes.
Walsall also holds the defensive edge, with a lower xGA of 1.3 compared to Stanley's 1.8, suggesting the hosts are better set up to limit chances. The likelihood of both teams scoring sits at 49%, just under half, hinting at a game where one goal may tip the balance. The over 2.5 goals market stands at 44%, suggesting caution in expecting a high-scoring affair, especially under these conditions.
While a 1-0 result to Walsall appears plausible, the 1-1 draw remains the most probable scoreline at 13%. This tension between a narrow home win and a stalemate should steer bettors towards value-driven options.
In essence, Walsall holds the upper hand on paper, but the razor-thin margins suggest modest betting stakes. A strong defensive showing could see the hosts through, but with an eye on the rain-soaked pitch, a low-scoring draw lurks as a realistic outcome.
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 · Walsall | X | 2 · Accrington Stanley |
|---|---|---|---|
| Betsafe | 1.85 | 3.30 | 3.95 |
| Betsson | 1.85 | 3.30 | 3.95 |
| Nordicbet | 1.85 | 3.30 | 3.95 |
| Pinnacle | 1.87 | 3.57 | 4.22 |
Odds updated 29 Aug, 05:37
1.93 → 1.87
3.47 → 3.57
3.87 → 4.22
2.04 → 2.03
Pinnacle · 10 recorded price levels · 23/08/2026 → 29/08/2026 · 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 | Walsall | Accrington Stanley |
|---|---|---|
| Points | 4 | 1 |
| xPoints | 3.7 | 2.4 |
| xG per match | 2.4 | 1.3 |
| xGA per match | 1.3 | 1.8 |
| xG within 8s of winning the ball | 0.21 | 0.44 |
| xGA within 8s of losing the ball | 0.11 | 0.14 |
| Playing style | Walsall | Accrington Stanley |
|---|---|---|
| Build-up efficiency | 0.36 | 0.32 |
| Field tilt | 0.47 | 0.58 |
| xT per match | 1.2 | 1.2 |
| xTA per match | 1.1 | 1.4 |
| Won balls, offensive half | 25 | 29 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.38 | 0.45 |
| Pressing efficiency, offensive half | 0.32 | 0.33 |
| Entries into the box per match | 13 | 16 |
| Entries into the box against | 16 | 13 |
| Pass completion % | 0.7 | 0.63 |
| Pass completion % under pressure | 0.68 | 0.59 |
| Passes per match | 306 | 278 |
| Passes against per match | 245 | 193 |
| Switches of play per match | 29.7 | 23.3 |
| Long balls per match | 32 | 34 |
| Set pieces | Walsall | Accrington Stanley |
|---|---|---|
| xG from free kicks | 0.09 | 0.08 |
| Corners per match | 8.6 | 5.1 |
| Corners against per match | 6.5 | 6.6 |
| xG per corner | 0.06 | 0.01 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.47 | 0.3 |
| First touch, defensive corners % | 0.69 | 0.77 |
| Other | Walsall | Accrington Stanley |
|---|---|---|
| Throw-in control | 0.73 | 0.72 |
| The goalkeepers | Jed MacAulay Ward (Walsall) | Louie Moulden (Accrington Stanley) |
|---|---|---|
| Saves | 8 | 7 |
| Save % | 100% | 70% |
| xG prevented | 100% | 81% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Walsall a 49% win probability. Full 1X2 picture: Walsall 49%, draw 27%, Accrington Stanley 24%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 44% and under at 56%.
The probability of both teams scoring is 49% 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.