01 · 2 legs
Safe
- Crewe Alexandra to win45%
- Under 3.5 goals75%
EFL League TwoGresty Road, Crewe13°1,2 mm22 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
Crewe Alexandra have had the upper hand in their recent head-to-head meetings with Shrewsbury Town, winning both encounters since 2023. However, given the small sample size, these results should not overshadow the broader context of current form and expected goals. The hosts have shown resilience, remaining unbeaten in their last six league matches, while the visitors have struggled to find consistency.
Analyzing recent performances, the numbers favor Crewe in multiple dimensions. Their expected goals (xG) average is slightly higher at 1.5 compared to Shrewsbury's 1.2, indicating a sharper attacking edge. Points and xPoints also tilt in Crewe's favor, reinforcing the model’s probability of a home victory at 45%. The most likely scoreline of 1-1 at 13% suggests a tight contest, but with a 1-0 win for Crewe close behind, at 11%.
The playing styles add another layer to this narrative. Crewe's emphasis on possession and control could effectively neutralize Shrewsbury's counterattack and crossing strategy. This sets the stage for a game where Crewe might dominate the ball, pressing their tactical advantage at home. The expected goals against (xGA) slightly favor Shrewsbury, but not enough to tip the balance their way.
From a betting angle, the value emerges with William Hill offering 2.10 on a Crewe win. Given their form and superior metrics across the board, this stands out as an opportunity with potential positive expected value. While the over 2.5 goals market sits at just a 47% probability, meaning a lean towards the under, Crewe’s steady form makes backing their victory the clearest play.
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 | Crewe Alexandra | Shrewsbury Town |
|---|---|---|
| Points | 9 | 3 |
| xPoints | 8.5 | 6.7 |
| xG per match | 1.5 | 1.2 |
| xGA per match | 1.3 | 1 |
| xG within 8s of winning the ball | 0.33 | 0.1 |
| xGA within 8s of losing the ball | 0.16 | 0.17 |
| Playing style | Crewe Alexandra | Shrewsbury Town |
|---|---|---|
| Build-up efficiency | 0.33 | 0.33 |
| Field tilt | 0.49 | 0.44 |
| xT per match | 0.95 | 1.1 |
| xTA per match | 1 | 0.76 |
| Won balls, offensive half | 22 | 33 |
| Pressing intensity | 0.22 | 0.23 |
| Pressing efficiency | 0.31 | 0.31 |
| Pressing efficiency, offensive half | 0.25 | 0.26 |
| Entries into the box per match | 15 | 13 |
| Entries into the box against | 12 | 11 |
| Pass completion % | 0.74 | 0.62 |
| Pass completion % under pressure | 0.69 | 0.58 |
| Passes per match | 309 | 226 |
| Passes against per match | 347 | 320 |
| Switches of play per match | 28.6 | 15.9 |
| Long balls per match | 32 | 27 |
| Set pieces | Crewe Alexandra | Shrewsbury Town |
|---|---|---|
| xG from free kicks | 0.04 | 0.18 |
| Corners per match | 6.5 | 4.8 |
| Corners against per match | 5.2 | 3.8 |
| xG per corner | 0.01 | 0.02 |
| xGA per corner against | 0.01 | 0.03 |
| First touch, offensive corners % | 0.42 | 0.42 |
| First touch, defensive corners % | 0.54 | 0.63 |
| Other | Crewe Alexandra | Shrewsbury Town |
|---|---|---|
| Throw-in control | 0.73 | 0.76 |
| The goalkeepers | Tom Booth (Crewe Alexandra) | William Sam Douglas Harry Boyle (Shrewsbury Town) |
|---|---|---|
| Saves | 19 | 6 |
| Save % | 86% | 100% |
| xG prevented | 58% | 100% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Crewe Alexandra a 45% win probability. Full 1X2 picture: Crewe Alexandra 45%, draw 28%, Shrewsbury Town 27%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 47% and under at 53%.
The probability of both teams scoring is 52% 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.