EFL ChampionshipMolineux, Wolverhampton15°3,8 mm26 km/h

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    WolverhamptonWolverhamptonPossession control
    vs
    PortsmouthPortsmouthCounter-attacks & crosses
    The model's lean: 1 · Wolverhampton (50%)

    WolverhamptonPortsmouth · EFL Championship

    1 · Wolverhampton 50%X 27%23% Portsmouth · 2

    Analysis: WolverhamptonPortsmouth

    Anna 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.

    WolverhamptonWolverhampton
    Form DWWLD
    League ranking xG #6xGA #6xT #5xP/match #4Points #10
    Key players
    • Fer LópezRWxG 0.36 · xT 0.22
    • Marshall MunetsiFxG 0.14 · xT -0.02
    • Toti GomesCBxG 0.03 · xT 0.06
    PortsmouthPortsmouth
    Form LWLLW
    League ranking xG #11xGA #12xT #13xP/match #16Points #12
    Key players
    • Colby BishopFxG 0.09 · xT 0.19
    • Marko MilovanovićFxG 1.37 · xT -0.01
    • Terry DevlinRWBxG 0.05 · xT 0.12

    Match prediction: WolverhamptonPortsmouth

    Predicted score matrix

    Portsmouth
    Wolverhampton
    0
    1
    2
    3
    4+
    0
    0–09.6%
    0–18.2%
    0–24.0%
    0–31.2%
    0–4+0.4%
    1
    1–013.0%
    1–112.8%
    1–25.8%
    1–31.8%
    1–4+0.5%
    2
    2–09.7%
    2–19.1%
    2–24.2%
    2–31.3%
    2–4+0.4%
    3
    3–04.7%
    3–14.4%
    3–22.0%
    3–30.6%
    3–4+0.2%
    4+
    4+–02.4%
    4+–12.2%
    4+–21.0%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-113%
    3. 3.2-010%
    4. 4.0-010%
    5. 5.2-19%
    Expected goals
    1,460,93
    Both teams to score
    47%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    Over 2,543%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Wolverhampton to win50%
    • Under 3.5 goals78%

    Combined probability

    37%

    Fair odds

    2.74

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Wolverhampton to win50%
    • Under 2.5 goals57%
    • Raúl Alonso Jiménez Rodríguez to score27%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score47%
    • Over 2.5 goals43%
    • Raúl Alonso Jiménez Rodríguez to score27%
    • Marlon Pack to be booked24%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Wolverhampton
    Portsmouth
    When goals are scored and conceded 2026
    Wolverhampton (1310)
    Portsmouth (78)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Wolverhampton
    Toti Gomes: 264 passningar, xT 0.26GomesFer López: 216 passningar, xT 0.55LópezNasser Djiga: 200 passningar, xT 0.19DjigaAndré: 183 passningar, xT 0.44AndréHugo Bueno: 174 passningar, xT 0.8BuenoJackson Tchatchoua: 141 passningar, xT 0.55TchatchouaJosé Sá: 131 passningar, xT 0.05Yerson Mosquera: 79 passningar, xT 0.04MosqueraTommy Doyle: 69 passningar, xT 0.01DoyleRodrigo Gomes: 58 passningar, xT 0.45GomesMateus Mané: 57 passningar, xT 0.59Mané
    Portsmouth
    Terry Devlin: 186 passningar, xT 0.54DevlinZak Swanson: 180 passningar, xT 0.18SwansonBenjamin Arthur: 146 passningar, xT 0.14ArthurConor Shaughnessy: 133 passningar, xT 0.27ShaughnessyEbou Adams: 112 passningar, xT 0.43AdamsRocco Robert Shein: 109 passningar, xT 0.2SheinMarlon Pack: 107 passningar, xT -0.08PackMadiodio Dia: 90 passningar, xT 0.18DiaNicolas Schmid: 80 passningar, xT 0.21SchmidAbu Bakarr Kamara: 75 passningar, xT 0.61KamaraAdrian Segecic: 73 passningar, xT 0.31Segecic
    xT networks

    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.

    Wolverhampton
    Toti Gomes: 264 passningar, xT 0.26GomesFer López: 216 passningar, xT 0.55LópezNasser Djiga: 200 passningar, xT 0.19DjigaAndré: 183 passningar, xT 0.44AndréHugo Bueno: 174 passningar, xT 0.8BuenoJackson Tchatchoua: 141 passningar, xT 0.55TchatchouaJosé Sá: 131 passningar, xT 0.05Yerson Mosquera: 79 passningar, xT 0.04MosqueraTommy Doyle: 69 passningar, xT 0.01DoyleRodrigo Gomes: 58 passningar, xT 0.45GomesMateus Mané: 57 passningar, xT 0.59Mané
    Portsmouth
    Terry Devlin: 186 passningar, xT 0.54DevlinZak Swanson: 180 passningar, xT 0.18SwansonBenjamin Arthur: 146 passningar, xT 0.14ArthurConor Shaughnessy: 133 passningar, xT 0.27ShaughnessyEbou Adams: 112 passningar, xT 0.43AdamsRocco Robert Shein: 109 passningar, xT 0.2SheinMarlon Pack: 107 passningar, xT -0.08PackMadiodio Dia: 90 passningar, xT 0.18DiaNicolas Schmid: 80 passningar, xT 0.21SchmidAbu Bakarr Kamara: 75 passningar, xT 0.61KamaraAdrian Segecic: 73 passningar, xT 0.31Segecic

    The teams in numbers

    PerformanceWolverhamptonPortsmouth
    Points86
    xPoints8.66.4
    xG per match1.81.4
    xGA per match1.11.4
    xG within 8s of winning the ball0.370.25
    xGA within 8s of losing the ball0.060.22
    Playing styleWolverhamptonPortsmouth
    Build-up efficiency0.290.34
    Field tilt0.50.56
    xT per match1.20.95
    xTA per match0.770.9
    Won balls, offensive half2425
    Pressing intensity0.230.23
    Pressing efficiency0.310.34
    Pressing efficiency, offensive half0.230.34
    Entries into the box per match1414
    Entries into the box against1312
    Pass completion %0.790.71
    Pass completion % under pressure0.690.68
    Passes per match384301
    Passes against per match315244
    Switches of play per match29.425.9
    Long balls per match3032
    Set piecesWolverhamptonPortsmouth
    xG from free kicks0.050.07
    Corners per match5.46.8
    Corners against per match54.5
    xG per corner0.020.03
    xGA per corner against0.060.04
    First touch, offensive corners %0.480.37
    First touch, defensive corners %0.60.61
    OtherWolverhamptonPortsmouth
    Throw-in control0.730.72
    The goalkeepersMarshall Munetsi (Wolverhampton)Nicolas Schmid (Portsmouth)
    Saves98
    Save %100%57%
    xG prevented100%25%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Wolverhampton vs Portsmouth according to our model?

    The model gives Wolverhampton a 50% win probability. Full 1X2 picture: Wolverhampton 50%, draw 27%, Portsmouth 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 47% according to the model.

    Why are some legs locked in the bet builder?

    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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    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.