01 · 2 legs
Safe
- Wolverhampton to win50%
- Under 3.5 goals78%
EFL ChampionshipMolineux, Wolverhampton15°3,8 mm26 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
Wolverhampton's 50% win probability against Portsmouth sets a clear expectation for supremacy on the pitch. The numbers point strongly towards a home advantage, driven by the host's superior control and possession style against the visitors' counter-attacking and crossing strategies. Wolves are not just better on paper; they have demonstrated it in points (8 versus 6), expected points (8.6 versus 6.4), and a notable edge in expected goals per match (1.8 to 1.4). Even their defensive stats show superiority, conceding fewer expected goals per match (1.1 compared to Portsmouth's 1.4).
Despite this statistical upper hand, a 13% likelihood for both a 1-0 and a 1-1 scoreline raises the specter of a tight contest. Yet, the combination of expected goals suggests Portsmouth might struggle to breach the home side's defense effectively. Under 2.5 goals holds a slight edge at 57%, aligning with Wolves' defensive capabilities and the dampening effect of expected rain, which often suppresses goal totals.
In assessing the game's dynamics, Wolves' possession-focused play should dictate the flow but may face sporadic threats from Portsmouth's counters. The expected goal difference further suggests Portsmouth will find it challenging to capitalize on their forward thrusts, especially in adverse weather conditions that suit a controlling style.
If you're looking for value in the betting market, Wolverhampton to win at 2.00 with Betfair offers an intriguing prospect. At these odds, there's a potential advantage for punters, as the model's 50% win probability aligns favorably against the offered price. This bet stands out as a calculated risk, grounded in statistical evidence and contextual game analysis rather than mere speculation.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | Wolverhampton | Portsmouth |
|---|---|---|
| Points | 8 | 6 |
| xPoints | 8.6 | 6.4 |
| xG per match | 1.8 | 1.4 |
| xGA per match | 1.1 | 1.4 |
| xG within 8s of winning the ball | 0.37 | 0.25 |
| xGA within 8s of losing the ball | 0.06 | 0.22 |
| Playing style | Wolverhampton | Portsmouth |
|---|---|---|
| Build-up efficiency | 0.29 | 0.34 |
| Field tilt | 0.5 | 0.56 |
| xT per match | 1.2 | 0.95 |
| xTA per match | 0.77 | 0.9 |
| Won balls, offensive half | 24 | 25 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.31 | 0.34 |
| Pressing efficiency, offensive half | 0.23 | 0.34 |
| Entries into the box per match | 14 | 14 |
| Entries into the box against | 13 | 12 |
| Pass completion % | 0.79 | 0.71 |
| Pass completion % under pressure | 0.69 | 0.68 |
| Passes per match | 384 | 301 |
| Passes against per match | 315 | 244 |
| Switches of play per match | 29.4 | 25.9 |
| Long balls per match | 30 | 32 |
| Set pieces | Wolverhampton | Portsmouth |
|---|---|---|
| xG from free kicks | 0.05 | 0.07 |
| Corners per match | 5.4 | 6.8 |
| Corners against per match | 5 | 4.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.06 | 0.04 |
| First touch, offensive corners % | 0.48 | 0.37 |
| First touch, defensive corners % | 0.6 | 0.61 |
| Other | Wolverhampton | Portsmouth |
|---|---|---|
| Throw-in control | 0.73 | 0.72 |
| The goalkeepers | Marshall Munetsi (Wolverhampton) | Nicolas Schmid (Portsmouth) |
|---|---|---|
| Saves | 9 | 8 |
| Save % | 100% | 57% |
| xG prevented | 100% | 25% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Wolverhampton a 50% win probability. Full 1X2 picture: Wolverhampton 50%, draw 27%, Portsmouth 23%.
The model's most likely final score is 1-0 at 13% probability.
The model rates over 2.5 goals at 43% and under at 57%.
The probability of both teams scoring is 47% 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.