01 · 2 legs
Safe
- Huddersfield Town to win56%
- Over 1.5 goals78%
EFL League OneJohn Smith's Stadium, Huddersfield17°17 km/h
Läs på svenskaErik Lindberg · · How the predictions work
Huddersfield Town's recent form suggests they're a team on the rise, having found the back of the net in nine consecutive league matches. Their style of play, which emphasizes possession control, is likely to create opportunities against AFC Wimbledon, who lean towards a low defensive block and direct play. With the model giving Huddersfield a 56% probability of winning, and their expected goals standing at 1.86 compared to Wimbledon's 1.01, the scales tip heavily in favor of the home side.
AFC Wimbledon, meanwhile, only has a 21% chance of victory according to the model, but there's a slight glimmer of value for the daring punter. Betsafe, Betsson, and Nordicbet all offer odds of 4.95 for a Wimbledon win, providing a 2% edge over the model's estimation. Whether that's worth a punt depends on your appetite for risk, but it's worth noting that the head-to-head sample is small, with just two matches since 2023, in which Huddersfield have won one and drawn one.
The most likely scorelines—1-1, 1-0, and 2-1—illustrate the competitive nature of League One, where fine margins often dictate outcomes. Huddersfield's prowess in attack and their ability to control games signal a probable 2-1 victory, fitting well within the 55% probability for over 2.5 goals. The numbers also suggest a 54% chance that both teams will find the net, meaning Wimbledon might just squeeze a goal through their direct approach.
Points and xPoints both lean towards Huddersfield, reinforcing the notion that they should edge this contest. With Huddersfield's xG per match at 1.4 compared to Wimbledon's 1.2, alongside a tighter xGA, Huddersfield Town should have the upper hand.
So where does the sharp betting angle lie? Despite the strong case for Huddersfield, the marginal value on a Wimbledon upset at those tempting odds could appeal to the adventurous. Yet, conventional wisdom backed by form and statistics suggests Huddersfield to triumph, likely in a match where goals aren't in short supply.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Huddersfield Town | X | 2 · Wimbledon |
|---|---|---|---|
| Betsafe | 1.62 | 3.85 | EV+ 2% 4.95 |
| Betsson | 1.62 | 3.85 | EV+ 2% 4.95 |
| Nordicbet | 1.62 | 3.85 | EV+ 2% 4.95 |
| Pinnacle | 1.59 | 4.15 | EV+ 5% 5.11 |
Odds updated 13 Aug, 14:35
1.64 → 1.59
4.04 → 4.15
4.81 → 5.11
1.76 → 1.74
Pinnacle · 2 recorded price levels · 11/08/2026 → 12/08/2026 · 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 | Huddersfield Town | Wimbledon |
|---|---|---|
| Points | 67 | 53 |
| xPoints | 69.7 | 61.8 |
| xG per match | 1.4 | 1.2 |
| xGA per match | 1.2 | 1.4 |
| xG within 8s of winning the ball | 0.22 | 0.2 |
| xGA within 8s of losing the ball | 0.16 | 0.18 |
| Playing style | Huddersfield Town | Wimbledon |
|---|---|---|
| Build-up efficiency | 0.3 | 0.33 |
| Field tilt | 0.5 | 0.47 |
| xT per match | 0.9 | 0.76 |
| xTA per match | 0.8 | 0.92 |
| Won balls, offensive half | 25 | 29 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.33 | 0.35 |
| Pressing efficiency, offensive half | 0.35 | 0.35 |
| Entries into the box per match | 12 | 9 |
| Entries into the box against | 10 | 12 |
| Pass completion % | 0.7 | 0.65 |
| Pass completion % under pressure | 0.66 | 0.63 |
| Passes per match | 307 | 256 |
| Passes against per match | 307 | 317 |
| Switches of play per match | 18.7 | 13.3 |
| Long balls per match | 25 | 24 |
| Set pieces | Huddersfield Town | Wimbledon |
|---|---|---|
| xG from free kicks | 0.09 | 0.11 |
| Corners per match | 5.8 | 4.8 |
| Corners against per match | 4.6 | 5.1 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.05 | 0.05 |
| First touch, offensive corners % | 0.34 | 0.35 |
| First touch, defensive corners % | 0.62 | 0.64 |
| Other | Huddersfield Town | Wimbledon |
|---|---|---|
| Throw-in control | 0.69 | 0.68 |
| The goalkeepers | Lee Nicholls (Huddersfield Town) | Nathan Bishop (Wimbledon) |
|---|---|---|
| Saves | 83 | 97 |
| Save % | 69% | 63% |
| xG prevented | 43% | 37% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Huddersfield Town a 56% win probability. Full 1X2 picture: Huddersfield Town 56%, draw 23%, Wimbledon 21%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 55% and under at 45%.
The probability of both teams scoring is 54% 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.