EFL ChampionshipLondon Stadium, London11°18,3 mm32 km/h

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    West Ham UnitedWest Ham UnitedBalanced & physical
    2–3
    SouthamptonSouthamptonPossession control
    The model's lean: 1 · West Ham United (54%)Best value by the model: X · Draw @ 4.38 (+7 %)

    West Ham United vs Southampton · EFL Championship

    1 · West Ham United 54%X 24%22% Southampton · 2

    Prediction summary

    Final score 2–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for West Ham United vs Southampton (EFL Championship, Saturday, 24 October 2026): West Ham United win 54%, draw 24%, Southampton win 22%. Expected goals (xG): West Ham United 1.90, Southampton 1.23. Most likely score: 1-1 (11%). Over 2.5 goals 60%, both teams to score 60%. Double chance: West Ham United or draw 78%, Southampton or draw 46%. Prediction updated Friday, 16 October 2026.

    Bet on this match

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    Analysis: West Ham United – Southampton

    Marcus Johansson · · Analysis from the match model · How the predictions work

    West Ham United's recent unbeaten run of nine league matches sets a strong baseline for their matchup against Southampton. The hosts hold a slight edge in both points and expected goals, positioning them as the favorites with a 54% probability of victory. Their ability to find the net in 11 consecutive league outings underlines their attacking threat. However, the rain predicted for the match, with 18.3 mm expected, could dampen that offensive momentum, potentially leading to a cagier contest than the underlying metrics suggest.

    Southampton, with their possession-based style, might struggle to impose themselves against West Ham's physicality. The expected goals model shows the visitors lagging behind at 1.23 against the home side's 1.90, indicating a likely struggle to maintain their attacking fluency. Despite this, the most common projected scoreline is 1-1, suggesting there's room for Southampton to capitalize on any slip-ups.

    The clash also highlights contrasting tactical approaches. West Ham's balanced play versus Southampton's possession control could lead to a midfield battle, especially with the weather's influence on the pitch conditions. With both teams scoring in 60% of modeled outcomes, a low-scoring draw remains a viable scenario. Yet, the model still leans towards the hosts, perhaps due to their ability to edge tight games.

    Given these dynamics, the odds offer intriguing angles. The under 2.5 goals at 2.65 with Betsafe and Nordicbet (both rated at 40% by the model) provides a 5% edge, making it an attractive proposition for value seekers. Similarly, the draw at 4.3 with LeoVegas also presents a 5% edge. These insights suggest the market may have overlooked the potential for a low-scoring stalemate, particularly in wet conditions. As always, the sharpest angles are in the margins.

    West Ham UnitedWest Ham United
    Form WDDWW
    League ranking xG #1xGA #5xT #4xP/match #2Points #3
    Key players
    • Jarrod BowenRWxG 0.56 · xT 0.32
    • Konstantinos MavropanosCBxG 0.32 · xT 0.08
    • Maximilian KilmanCBxG 0.09 · xT 0.11
    SouthamptonSouthampton
    Form WLWWD
    League ranking xG #5xGA #9xT #11xP/match #8Points #4
    Key players
    • Jack StephensCBxG 0.06 · xT 0.02
    • Nathan Dean Joshua Wood-GordonCBxG 0.02 · xT 0.04
    • Ryan Phelim ManningLBxG 0.13 · xT 0.17
    Final score
    2 – 3
    The model missed the outcome
    Predicted probabilities: West Ham United 54% · Draw 24% · Southampton 22%

    How the bookmaker bet builders went

    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.

    Matchresultat - SouthamptonBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,15fair 13,15-23 %
    Hit
    Matchresultat - West HamBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,84fair 5,46-30 %
    Miss

    Match prediction: West Ham United – Southampton

    Predicted score matrix

    Southampton →
    West Ham United →
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–15.1%
    0–23.3%
    0–31.3%
    0–4+0.5%
    1
    1–08.0%
    1–110.5%
    1–26.3%
    1–32.6%
    1–4+1.0%
    2
    2–07.9%
    2–19.7%
    2–26.0%
    2–32.4%
    2–4+1.0%
    3
    3–05.0%
    3–16.2%
    3–23.8%
    3–31.5%
    3–4+0.6%
    4+
    4+–03.7%
    4+–14.5%
    4+–22.8%
    4+–31.1%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-08%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,90–1,23
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.69EV+6%
    Over 2,560%
    @1.47

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • West Ham United to win54%
    • Over 1.5 goals82%

    Combined probability

    45%

    Fair odds

    2.24

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

    02 · 3 legs

    Balanced

    • West Ham United to win54%
    • Over 2.5 goals60%
    • Jarrod Bowen to score24%

    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 score60%
    • Over 2.5 goals60%
    • Cyle Christopher Larin to score24%
    • Flynn Downes to be booked22%

    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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • X · Draw24% probability@4.38PinnacleEV+7%reference odds
    • Under 2.540% probability@2.69BetsafeEV+6%reference odds
    • Under 2.540% probability@2.69NordicbetEV+6%reference odds
    Bookmaker1 · West Ham UnitedX2 · Southampton
    Betsafe1.68
    EV+ 1%
    4.15
    4.40
    LeoVegas1.70
    EV+ 5%
    4.30
    4.40
    Nordicbet1.68
    EV+ 1%
    4.15
    4.40
    Pinnacle1.69
    EV+ 7%
    4.38
    4.53

    Odds updated 24 Oct, 12:18

    Odds movement

    1+1 %
    60 %55 %

    1.67 → 1.69

    X+2 %
    24 %19 %

    4.30 → 4.38

    2+2 %
    23 %18 %

    4.43 → 4.53

    Pinnacle · 9 recorded price levels · 22/10/2026 → 24/10/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • West Ham United are unbeaten in their last 9 league matches.
    • West Ham United have scored in 11 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    West Ham United
    Southampton
    When goals are scored and conceded — 2026
    West Ham United (30–12)
    Southampton (21–10)
    Pass networks

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

    West Ham United
    Maximilian Kilman: 304 passningar, xT 0.63KilmanKonstantinos Mavropanos: 270 passningar, xT 0.33MavropanosArne Engels: 227 passningar, xT 0.45EngelsFelipe Rodrigues da Silva: 171 passningar, xT 0.9SilvaManor Solomon: 148 passningar, xT 0.77SolomonJarrod Bowen: 142 passningar, xT 1.34BowenMads Hermansen: 141 passningar, xT 0HermansenKyle Walker Peters: 132 passningar, xT 0.34PetersDivine Tayon Mahogany Mukasa: 122 passningar, xT 0.1MukasaMohamadou Kanté: 99 passningar, xT 0.64KantéJoël Ivo Veltman: 81 passningar, xT 0.16Veltman
    Southampton
    Keven Matteo Schlotterbeck: 347 passningar, xT 0.58SchlotterbeckJames Michael Edward Ward-Prowse: 297 passningar, xT 0.26Ward-ProwseDaniel Peretz: 224 passningar, xT 0.11PeretzJack Stephens: 186 passningar, xT -0.08StephensRyan Phelim Manning: 170 passningar, xT 0.71ManningJames Bree: 162 passningar, xT 0.69BreeFinn Azaz: 158 passningar, xT 0.44AzazNathan Dean Joshua Wood-Gordon: 158 passningar, xT 0.16Wood-GordonFlynn Downes: 134 passningar, xT 0.13DownesCameron Roger Bragg: 131 passningar, xT -0.04BraggKuryu Matsuki: 95 passningar, xT 0.16Matsuki
    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.

    West Ham United
    Maximilian Kilman: 304 passningar, xT 0.63KilmanKonstantinos Mavropanos: 270 passningar, xT 0.33MavropanosArne Engels: 227 passningar, xT 0.45EngelsFelipe Rodrigues da Silva: 171 passningar, xT 0.9SilvaManor Solomon: 148 passningar, xT 0.77SolomonJarrod Bowen: 142 passningar, xT 1.34BowenMads Hermansen: 141 passningar, xT 0HermansenKyle Walker Peters: 132 passningar, xT 0.34PetersDivine Tayon Mahogany Mukasa: 122 passningar, xT 0.1MukasaMohamadou Kanté: 99 passningar, xT 0.64KantéJoël Ivo Veltman: 81 passningar, xT 0.16Veltman
    Southampton
    Keven Matteo Schlotterbeck: 347 passningar, xT 0.58SchlotterbeckJames Michael Edward Ward-Prowse: 297 passningar, xT 0.26Ward-ProwseDaniel Peretz: 224 passningar, xT 0.11PeretzJack Stephens: 186 passningar, xT -0.08StephensRyan Phelim Manning: 170 passningar, xT 0.71ManningJames Bree: 162 passningar, xT 0.69BreeFinn Azaz: 158 passningar, xT 0.44AzazNathan Dean Joshua Wood-Gordon: 158 passningar, xT 0.16Wood-GordonFlynn Downes: 134 passningar, xT 0.13DownesCameron Roger Bragg: 131 passningar, xT -0.04BraggKuryu Matsuki: 95 passningar, xT 0.16Matsuki

    The teams in numbers

    PerformanceWest Ham UnitedSouthampton
    Points2221
    xPoints18.617
    xG per match2.21.8
    xGA per match1.21.3
    xG within 8s of winning the ball0.30.34
    xGA within 8s of losing the ball0.120.23
    Playing styleWest Ham UnitedSouthampton
    Build-up efficiency0.270.31
    Field tilt0.650.59
    xT per match1.20.94
    xTA per match0.651
    Won balls, offensive half2221
    Pressing intensity0.230.24
    Pressing efficiency0.320.28
    Pressing efficiency, offensive half0.250.21
    Entries into the box per match1712
    Entries into the box against1014
    Pass completion %0.80.81
    Pass completion % under pressure0.780.78
    Passes per match434444
    Passes against per match301298
    Switches of play per match32.224.5
    Long balls per match3029
    Set piecesWest Ham UnitedSouthampton
    xG from free kicks0.140.09
    Corners per match6.35
    Corners against per match4.44.2
    xG per corner0.060.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.390.45
    First touch, defensive corners %0.670.57
    OtherWest Ham UnitedSouthampton
    Throw-in control0.70.67
    The goalkeepersMads Hermansen (West Ham United)Daniel Peretz (Southampton)
    Saves2231
    Save %71%80%
    xG prevented36%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: West Ham United spelschemaSouthampton spelschema

    Frequently asked questions

    Who wins West Ham United vs Southampton according to our model?

    The model gives West Ham United a 54% win probability. Full 1X2 picture: West Ham United 54%, draw 24%, Southampton 22%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 60% according to the model.

    How many goals are expected in West Ham United vs Southampton?

    The model expects 1.90 goals (xG) for West Ham United and 1.23 for Southampton, 3.12 in total.

    What does the model say about double chance?

    West Ham United or draw (1X) 78%, Southampton or draw (X2) 46% and no draw (12) 76%.

    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.