01 · 2 legs
Safe
- Walsall to win59%
- Over 1.5 goals83%
EFL League TwoBescot Stadium, Walsall14°6,4 mm18 km/h
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Marcus Johansson · · Analysis from the match model · How the predictions work
The head-to-head record between these teams since 2023 might suggest parity, with both encounters ending in draws. However, that small sample doesn't overshadow the broader picture painted by current form and underlying metrics. Walsall's unbeaten run of seven matches contrasts sharply with Crawley Town's three consecutive losses. The hosts not only have momentum but also a statistical edge, evidenced by their superior expected goals (xG) and expected points (xP) figures.
Walsall's style of play revolves around possession control, a strategy mirrored by their opponents. The clash of similar playing philosophies usually implies a battle for midfield dominance. Yet, Walsall's more effective execution of this strategy is reflected in their higher xG per match (1.9 vs. Crawley's 1.4) and lower expected goals against (xGA) figures. This suggests that while both teams aim to hold the ball, Walsall translates possession into more and better chances.
The model probabilities heavily favor the hosts with a 59% win chance. The most probable scorelines of 1-1 and 2-1 further underscore the challenge Crawley faces, with both teams likely finding the net but Walsall having the upper hand. The expected goals prediction of 2.04 to 1.13 in Walsall's favor supports a lean towards over 2.5 goals in this matchup, with the model giving a 61% chance for such an outcome.
The standout betting angle comes courtesy of Bet365, offering odds of 1.80 for over 2.5 goals. This looks like a valuable pick, given the attacking potential shown by Walsall and the vulnerabilities in Crawley's defense. With both teams employing possession-based strategies, the chances of a high-scoring affair seem significant, making this market an appealing option for punters.
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 | Walsall | Crawley Town |
|---|---|---|
| Points | 13 | 4 |
| xPoints | 10.8 | 7.2 |
| xG per match | 1.9 | 1.4 |
| xGA per match | 1.3 | 1.7 |
| xG within 8s of winning the ball | 0.28 | 0.23 |
| xGA within 8s of losing the ball | 0.24 | 0.38 |
| Playing style | Walsall | Crawley Town |
|---|---|---|
| Build-up efficiency | 0.36 | 0.32 |
| Field tilt | 0.6 | 0.57 |
| xT per match | 1 | 0.92 |
| xTA per match | 0.85 | 1.1 |
| Won balls, offensive half | 24 | 23 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.4 | 0.37 |
| Pressing efficiency, offensive half | 0.33 | 0.34 |
| Entries into the box per match | 14 | 12 |
| Entries into the box against | 13 | 13 |
| Pass completion % | 0.73 | 0.74 |
| Pass completion % under pressure | 0.69 | 0.68 |
| Passes per match | 361 | 349 |
| Passes against per match | 232 | 226 |
| Switches of play per match | 31.8 | 27.1 |
| Long balls per match | 33 | 30 |
| Set pieces | Walsall | Crawley Town |
|---|---|---|
| xG from free kicks | 0.06 | 0.04 |
| Corners per match | 6.5 | 4.1 |
| Corners against per match | 5.3 | 4.6 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.01 | 0.04 |
| First touch, offensive corners % | 0.48 | 0.48 |
| First touch, defensive corners % | 0.63 | 0.54 |
| Other | Walsall | Crawley Town |
|---|---|---|
| Throw-in control | 0.75 | 0.78 |
| The goalkeepers | Jed MacAulay Ward (Walsall) | Nicholas Jake Michalski (Crawley Town) |
|---|---|---|
| Saves | 19 | 16 |
| Save % | 83% | 64% |
| xG prevented | 58% | 52% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Walsall a 59% win probability. Full 1X2 picture: Walsall 59%, draw 21%, Crawley Town 19%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 61% and under at 39%.
The probability of both teams scoring is 59% 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.