01 · 2 legs
Safe
- Double chance Wimbledon or draw (1X)63%
- Under 3.5 goals79%
EFL League OnePlough Lane, London18°1,7 mm21 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
Points can be deceiving in football. Wimbledon, despite their solitary point so far, stand as slight favorites against a Wigan Athletic side on a four-match losing streak. The numbers suggest a tightly contested match, with Wimbledon having a 39% chance of winning according to the model, marginally ahead of Wigan's 35%. The most likely scoreline is a 1-1 draw, but there's a significant edge in betting on the home side at odds of 3.15 with Betsafe, Betsson, and Nordicbet—each offering a 24% edge based on the model's assessment.
While both teams favor possession control, neither has shown an overwhelming capacity to convert that into goals. Wimbledon’s expected goals per match stand at a humble 1.14 compared to Wigan’s slightly better 1.21. The expected goals allowed figures suggest Wimbledon have a tighter defense, yet they still average 1.2 xGA per match. With 2.4 mm of rain predicted, goal scoring might see further suppression, which is already factored into the model’s forecast.
The head-to-head record since 2023 shows Wimbledon and Wigan have each won once, making the sample too small to draw definitive conclusions. However, Wigan clearly has the superior xG figures, and this clash will likely hinge on whether they can translate that into breaking their losing streak. Despite this, Wimbledon's home advantage and Wigan's current form tilt the scale slightly in the hosts' favor.
Given the low probability of over 2.5 goals at 42% and a modest 48% for both teams to score, the numbers suggest a cagey affair ahead. The market seems to have overlooked Wimbledon's potential for an upset here. With significant value at odds of 3.15, backing the home side with Betsafe, Betsson, or Nordicbet is a compelling angle for this matchup.
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 · Wimbledon | X | 2 · Wigan Athletic |
|---|---|---|---|
| Bet365 | EV+ 2% 2.60 | 3.10 | 2.55 |
| Betsafe | EV+ 24% 3.15 | 3.20 | 2.22 |
| Betsson | EV+ 24% 3.15 | 3.20 | 2.22 |
| Nordicbet | EV+ 24% 3.15 | 3.20 | 2.22 |
| Pinnacle | EV+ 27% 3.22 | 3.32 | 2.32 |
Odds updated 30 Aug, 05:15
3.11 → 3.22
3.25 → 3.32
2.32 → 2.32
2.10 → 2.13
Pinnacle · 7 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points
Head-to-head based on League One 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 | Wimbledon | Wigan Athletic |
|---|---|---|
| Points | 1 | 0 |
| xPoints | 1.4 | 1.9 |
| xG per match | 0.41 | 1.8 |
| xGA per match | 1.2 | 1.6 |
| xG within 8s of winning the ball | 0.03 | 0.17 |
| xGA within 8s of losing the ball | 0.06 | 0.16 |
| Playing style | Wimbledon | Wigan Athletic |
|---|---|---|
| Build-up efficiency | 0.33 | 0.31 |
| Field tilt | 0.57 | 0.67 |
| xT per match | 0.84 | 1.4 |
| xTA per match | 1.1 | 0.69 |
| Won balls, offensive half | 32 | 21 |
| Pressing intensity | 0.24 | 0.24 |
| Pressing efficiency | 0.39 | 0.4 |
| Pressing efficiency, offensive half | 0.37 | 0.34 |
| Entries into the box per match | 10 | 15 |
| Entries into the box against | 13 | 8 |
| Pass completion % | 0.7 | 0.76 |
| Pass completion % under pressure | 0.69 | 0.72 |
| Passes per match | 295 | 420 |
| Passes against per match | 315 | 193 |
| Switches of play per match | 19.1 | 17 |
| Long balls per match | 27 | 22 |
| Set pieces | Wimbledon | Wigan Athletic |
|---|---|---|
| xG from free kicks | 0.08 | 0.09 |
| Corners per match | 6.2 | 4.5 |
| Corners against per match | 5.7 | 5.5 |
| xG per corner | 0.03 | 0.06 |
| xGA per corner against | 0.02 | 0.03 |
| First touch, offensive corners % | 0.33 | 0.33 |
| First touch, defensive corners % | 0.73 | 0.55 |
| Other | Wimbledon | Wigan Athletic |
|---|---|---|
| Throw-in control | 0.73 | 0.8 |
| The goalkeepers | Daniel Liam Sweeney (Wimbledon) | Joseph Anthony Walsh (Wigan Athletic) |
|---|---|---|
| Saves | 4 | 3 |
| Save % | 100% | 38% |
| xG prevented | 100% | 11% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Wimbledon a 39% win probability. Full 1X2 picture: Wimbledon 39%, draw 26%, Wigan Athletic 35%.
The model's most likely final score is 1-1 at 14% probability.
The model rates over 2.5 goals at 42% and under at 58%.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.