01 · 2 legs
Safe
- Grimsby Town to win55%
- Under 3.5 goals75%
EFL League TwoBlundell Park, Cleethorpes15°0,4 mm18 km/h
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Anna Karlsson · · A data-driven preview · How the predictions work
TEXT: Grimsby Town's recent unbeaten run in their last eight league matches is nothing short of impressive, setting the stage for a potentially decisive clash against Shrewsbury Town. The hosts are favored by the model, boasting a 55% probability of victory, and this confidence is underscored by their possession-control style, which contrasts sharply with Shrewsbury's low-block and direct approach. Grimsby's ability to maintain control could dictate the tempo of the game.
With the most likely scoreline pointing towards a 1-0 victory for Grimsby, the numbers suggest a tightly contested affair. The expected goals tell a clear story: Grimsby Town's 1.65 xG significantly outstrips Shrewsbury's 0.89, indicating a higher likelihood of the hosts finding the net. However, neither team is expected to score prolifically, with the model placing the over 2.5 goals probability at just 47%. This aligns with the prediction of a low-scoring match, likely controlled by Grimsby's possession play.
The head-to-head record since 2023 offers limited insight, with only two matches on file. While Grimsby holds a slight edge in these encounters, having secured a win and a draw, the sample size is too small to draw substantive conclusions. Instead, the attention should be on their current form and the tactical battle, where Grimsby's approach seems better suited to exploit the defensive rigidity of their opponents.
In terms of betting angles, the standout value lies in backing Grimsby Town to win, which fits well within the model's confidence. With Grimsby's tactical advantage and solid form, this appears to be a promising angle to consider for those looking to align their wagers with the statistical analysis.
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 | Grimsby Town | Shrewsbury Town |
|---|---|---|
| Points | 10 | 6 |
| xPoints | 8.3 | 9.1 |
| xG per match | 1.6 | 1.2 |
| xGA per match | 1.1 | 0.93 |
| xG within 8s of winning the ball | 0.28 | 0.11 |
| xGA within 8s of losing the ball | 0.15 | 0.15 |
| Playing style | Grimsby Town | Shrewsbury Town |
|---|---|---|
| Build-up efficiency | 0.33 | 0.33 |
| Field tilt | 0.6 | 0.44 |
| xT per match | 1.2 | 0.98 |
| xTA per match | 0.66 | 0.73 |
| Won balls, offensive half | 33 | 33 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.43 | 0.32 |
| Pressing efficiency, offensive half | 0.44 | 0.29 |
| Entries into the box per match | 15 | 12 |
| Entries into the box against | 8 | 10 |
| Pass completion % | 0.67 | 0.61 |
| Pass completion % under pressure | 0.62 | 0.56 |
| Passes per match | 286 | 218 |
| Passes against per match | 221 | 321 |
| Switches of play per match | 23.9 | 15.1 |
| Long balls per match | 37 | 27 |
| Set pieces | Grimsby Town | Shrewsbury Town |
|---|---|---|
| xG from free kicks | 0.05 | 0.15 |
| Corners per match | 7.2 | 4.2 |
| Corners against per match | 4.8 | 4 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.04 | 0.02 |
| First touch, offensive corners % | 0.31 | 0.44 |
| First touch, defensive corners % | 0.69 | 0.71 |
| Other | Grimsby Town | Shrewsbury Town |
|---|---|---|
| Throw-in control | 0.69 | 0.75 |
| The goalkeepers | Christy James Pym (Grimsby Town) | William Michael Brook (Shrewsbury Town) |
|---|---|---|
| Saves | 10 | 11 |
| Save % | 77% | 50% |
| xG prevented | 46% | 29% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Grimsby Town a 55% win probability. Full 1X2 picture: Grimsby Town 55%, draw 25%, Shrewsbury Town 20%.
The model's most likely final score is 1-0 at 13% probability.
The model rates over 2.5 goals at 47% and under at 53%.
The probability of both teams scoring is 48% 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.