EFL ChampionshipSt Mary's Stadium, Southampton12°19 km/h

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    SouthamptonSouthamptonPossession control
    vs
    PortsmouthPortsmouthCounter-attacks & crosses
    The model's lean: 1 · Southampton (62%)

    Southampton vs Portsmouth · EFL Championship

    1 · Southampton 62%X 20%18% Portsmouth · 2

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    Analysis: Southampton – Portsmouth

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT: The key question for Southampton against Portsmouth is whether the hosts can break a winless head-to-head streak. While it's true that the South Coast derby hasn't seen a victor between these two in their last two meetings, this sample size is small and tells us less about the impending clash than the current form of each side. Southampton, with their possession-oriented style, is favored to make a statement at home.

    Southampton's goal-scoring consistency, having netted in eight straight league fixtures, contrasts sharply with Portsmouth's recent struggles to assert dominance. At home, Southampton wins 59% of their matches, showing they can capitalize on familiar turf. Their xG of 1.8 per match, compared to Portsmouth's 1.4, suggests a side capable of creating more significant chances. The visitors, relying on counter-attacks and crosses, might find it hard to dominate if the home side controls the pace as expected.

    Model probabilities favor Southampton heavily at 62%, and the expected goals lean further in their direction with 1.95 compared to Portsmouth's 1.01. The most likely scoreline is 1-1, followed closely by 2-1 and 2-0, reflecting this edge while also hinting at the possibility of a tighter contest. If Portsmouth is to stand any chance, exploiting their marginally better xGA of 1.2 might be key, but even that advantage seems slender against a Southampton attack that's firing consistently.

    For bettors, the over 2.5 goals market is intriguing with a 57% probability, considering both teams have a knack for finding the net. Southampton's attacking form aligns with this, bolstered by a high probability of both teams scoring at 55%.

    In this showdown, the numbers tell a compelling story: Southampton is poised for a possible win in front of their home crowd, likely ending the deadlock in this budding rivalry.

    SouthamptonSouthampton
    Form DDWWL
    League ranking xG #6xGA #14xT #9xP/match #8Points #4
    Key players
    • Cyle Christopher LarinFxG 0.66 · xT 0.02
    • Nathan Dean Joshua Wood-GordonCBxG 0.02 · xT 0.04
    • Ryan Phelim ManningLBxG 0.15 · xT 0.17
    PortsmouthPortsmouth
    Form LLWDD
    League ranking xG #12xGA #4xT #15xP/match #15Points #19
    Key players
    • Colby BishopFxG 0.13 · xT 0.12
    • Zak SwansonLWBxG 0.03 · xT 0.07
    • Marko MilovanovićFxG 1.37 · xT -0.01

    Match prediction: Southampton – Portsmouth

    Predicted score matrix

    Portsmouth →
    Southampton →
    0
    1
    2
    3
    4+
    0
    0–05.5%
    0–14.9%
    0–22.6%
    0–30.9%
    0–4+0.3%
    1
    1–09.8%
    1–110.5%
    1–25.2%
    1–31.7%
    1–4+0.5%
    2
    2–09.8%
    2–110.0%
    2–25.0%
    2–31.7%
    2–4+0.5%
    3
    3–06.4%
    3–16.5%
    3–23.3%
    3–31.1%
    3–4+0.3%
    4+
    4+–04.9%
    4+–14.9%
    4+–22.5%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.2-010%
    4. 4.1-010%
    5. 5.3-16%
    Expected goals
    1,95–1,01
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.22
    Over 2,557%
    @1.68

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    01 · 2 legs

    Safe

    • Southampton to win62%
    • Over 1.5 goals80%

    Combined probability

    49%

    Fair odds

    2.04

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

    02 · 3 legs

    Balanced

    • Southampton to win62%
    • Over 2.5 goals57%
    • Cyle Christopher Larin to score42%

    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 score55%
    • Over 2.5 goals57%
    • Cyle Christopher Larin to score42%
    • 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

    Bookmaker1 · SouthamptonX2 · Portsmouth
    Betsafe1.604.005.35
    LeoVegas1.574.205.00
    Nordicbet1.604.005.35
    Pinnacle1.604.165.16

    Odds updated 2 Oct, 13:36

    Statistics

    Head-to-head

    2 matches
    Southampton 0Draw 2Portsmouth 0
    Goals: 1–1 (⌀ 1)

    Head-to-head based on Championship data since 2023.

    Key facts

    • Southampton have scored in 8 consecutive league matches.
    • Southampton win 59% of their home matches all-time (27 played).
    xG & xGA per match — 3-game rolling average

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

    Southampton
    Portsmouth
    When goals are scored and conceded — 2026
    Southampton (19–10)
    Portsmouth (9–10)
    Pass networks

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

    Southampton
    Keven Matteo Schlotterbeck: 325 passningar, xT 0.38SchlotterbeckFlynn Downes: 265 passningar, xT 0.18DownesJames Michael Edward Ward-Prowse: 265 passningar, xT 0.2Ward-ProwseNathan Dean Joshua Wood-Gordon: 263 passningar, xT 0.24Wood-GordonDaniel Peretz: 234 passningar, xT 0.06PeretzRyan Phelim Manning: 185 passningar, xT 0.58ManningJames Bree: 183 passningar, xT 0.93BreeFinn Azaz: 151 passningar, xT 0.47AzazLeonardo Weschenfelder Scienza: 103 passningar, xT 0.51ScienzaCameron Roger Bragg: 86 passningar, xT -0.04BraggKuryu Matsuki: 81 passningar, xT 0.12Matsuki
    Portsmouth
    Marlon Pack: 159 passningar, xT 0.08PackBenjamin Arthur: 150 passningar, xT 0.07ArthurTerry Devlin: 142 passningar, xT 0.38DevlinZak Swanson: 133 passningar, xT 0.23SwansonMadiodio Dia: 124 passningar, xT 0.25DiaConor Shaughnessy: 123 passningar, xT 0.22ShaughnessyDaniel Bielica: 107 passningar, xT 0.3BielicaRocco Robert Shein: 106 passningar, xT 0.17SheinAbu Bakarr Kamara: 80 passningar, xT 0.64KamaraJayden Meghoma: 79 passningar, xT 0.16MeghomaEbou Adams: 76 passningar, xT 0.31Adams
    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.

    Southampton
    Keven Matteo Schlotterbeck: 325 passningar, xT 0.38SchlotterbeckFlynn Downes: 265 passningar, xT 0.18DownesJames Michael Edward Ward-Prowse: 265 passningar, xT 0.2Ward-ProwseNathan Dean Joshua Wood-Gordon: 263 passningar, xT 0.24Wood-GordonDaniel Peretz: 234 passningar, xT 0.06PeretzRyan Phelim Manning: 185 passningar, xT 0.58ManningJames Bree: 183 passningar, xT 0.93BreeFinn Azaz: 151 passningar, xT 0.47AzazLeonardo Weschenfelder Scienza: 103 passningar, xT 0.51ScienzaCameron Roger Bragg: 86 passningar, xT -0.04BraggKuryu Matsuki: 81 passningar, xT 0.12Matsuki
    Portsmouth
    Marlon Pack: 159 passningar, xT 0.08PackBenjamin Arthur: 150 passningar, xT 0.07ArthurTerry Devlin: 142 passningar, xT 0.38DevlinZak Swanson: 133 passningar, xT 0.23SwansonMadiodio Dia: 124 passningar, xT 0.25DiaConor Shaughnessy: 123 passningar, xT 0.22ShaughnessyDaniel Bielica: 107 passningar, xT 0.3BielicaRocco Robert Shein: 106 passningar, xT 0.17SheinAbu Bakarr Kamara: 80 passningar, xT 0.64KamaraJayden Meghoma: 79 passningar, xT 0.16MeghomaEbou Adams: 76 passningar, xT 0.31Adams

    The teams in numbers

    PerformanceSouthamptonPortsmouth
    Points148
    xPoints11.69.3
    xG per match1.81.4
    xGA per match1.41.2
    xG within 8s of winning the ball0.350.21
    xGA within 8s of losing the ball0.270.21
    Playing styleSouthamptonPortsmouth
    Build-up efficiency0.30.34
    Field tilt0.590.55
    xT per match10.9
    xTA per match0.960.92
    Won balls, offensive half2226
    Pressing intensity0.240.24
    Pressing efficiency0.280.34
    Pressing efficiency, offensive half0.190.33
    Entries into the box per match1313
    Entries into the box against1411
    Pass completion %0.820.71
    Pass completion % under pressure0.780.66
    Passes per match449302
    Passes against per match288252
    Switches of play per match24.827.2
    Long balls per match2933
    Set piecesSouthamptonPortsmouth
    xG from free kicks0.10.06
    Corners per match5.66.9
    Corners against per match4.25.2
    xG per corner0.010.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.470.31
    First touch, defensive corners %0.620.62
    OtherSouthamptonPortsmouth
    Throw-in control0.660.71
    The goalkeepersDaniel Peretz (Southampton)Daniel Bielica (Portsmouth)
    Saves2315
    Save %74%79%
    xG prevented42%65%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Southampton vs Portsmouth according to our model?

    The model gives Southampton a 62% win probability. Full 1X2 picture: Southampton 62%, draw 20%, Portsmouth 18%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

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

    Will both teams score?

    The probability of both teams scoring is 55% 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.