EFL ChampionshipSt Mary's Stadium, Southampton18°10,2 mm25 km/h

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    SouthamptonSouthamptonPossession & high press
    51
    MillwallMillwallPossession control
    The model's lean: 1 · Southampton (48%)Best value by the model: Under 0,5 @ 15.00 (+15 %)

    SouthamptonMillwall · EFL Championship

    1 · Southampton 48%X 25%27% Millwall · 2

    Analysis: SouthamptonMillwall

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

    The text contains a factual error in the conclusion: it states "1-0" as the "likeliest outcome," but according to the facts, 1-1 (13%) is more likely than 1-0 (11%).

    CORRECTED TEXT:

    Southampton's high-pressing style will be tested against Millwall's disciplined possession control, creating an intriguing tactical clash. Despite the Saints' home advantage and the model's tilt toward them with a 48% win probability, Millwall's recent form and xG numbers suggest they could make life difficult for the hosts. The Lions have been outperforming the Saints with six points to three and a superior xPoints tally.

    The most likely scorelines, according to the model, point to a tight affair: 1-1 at 13% and 1-0 at 11%. With expected goals of 1.51 for Southampton and 1.10 for Millwall, the forecast suggests a match likely to be decided by small margins. The persistent rain and damp conditions might further suppress goal-scoring opportunities, fitting into a less expansive match script.

    Millwall's defensive solidity is evident in their xGA of 0.56 per match, substantially better than Southampton's 1.1. This defensive edge could stifle Southampton's attempts to convert their high pressing into goals. Two head-to-head matches since 2023 have seen Southampton struggle, without a win and only managing a draw and a loss, although this small sample size should be weighed less heavily than current form and xG statistics.

    Betting markets see opportunity in a low-scoring game. The under 2.5 goals market presents a value bet at odds of 1.99 with bookmakers such as Betsafe, Betsson, and Nordicbet, where the model's probability of 52% suggests a 3% edge. Given both teams' tactical setups and the impact of inclement weather, a cautious approach expecting fewer goals could be prudent.

    In conclusion, fans might anticipate a tight and tactical encounter, with a narrow 1-1 draw as the likeliest outcome. The under 2.5 goals wager offers a calculated angle for bettors in this closely matched Championship fixture.

    SouthamptonSouthampton
    Form DWDLW
    League ranking xG #6xGA #9xT #12xP/match #9Points #10
    Key players
    • Cyle Christopher LarinFxG 0.60 · xT -0.01
    • Taylor Jay Harwood-BellisCBxG 0.16 · xT 0.17
    • Ryan Phelim ManningLWBxG 0.49 · xT 0.32
    MillwallMillwall
    Form WDLWW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Josh CoburnFxG 0.92 · xT 0.30
    • Jake CooperCBxG 0.05 · xT 0.04
    • Caleb Joaquin TaylorCBxG 0.08 · xT 0.04
    Final score
    51
    The model called the outcome
    Predicted probabilities: Southampton 48% · Draw 25% · Millwall 27%

    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 5,79fair 8,67-33 %
    Hit
    Matchresultat - MillwallBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,12fair 16,28-38 %
    Miss

    Match prediction: SouthamptonMillwall

    Predicted score matrix

    Millwall
    Southampton
    0
    1
    2
    3
    4+
    0
    0–07.7%
    0–17.7%
    0–24.4%
    0–31.6%
    0–4+0.6%
    1
    1–010.7%
    1–112.6%
    1–26.7%
    1–32.5%
    1–4+0.9%
    2
    2–08.4%
    2–19.2%
    2–25.1%
    2–31.9%
    2–4+0.6%
    3
    3–04.2%
    3–14.7%
    3–22.6%
    3–30.9%
    3–4+0.3%
    4+
    4+–02.2%
    4+–12.5%
    4+–21.4%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-18%
    Expected goals
    1,511,10
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.21EV+11%
    Over 2,548%
    @1.71

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Southampton to win48%
    • Under 3.5 goals73%

    Combined probability

    33%

    Fair odds

    3.07

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

    02 · 3 legs

    Balanced

    • Southampton to win48%
    • Under 2.5 goals52%
    • Cameron Desmond Archer to score32%

    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 score52%
    • Over 2.5 goals48%
    • Cameron Desmond Archer to score32%
    • Billy James Mitchell 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

    The model's value spots

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

    • Under 0.58% probability@15.00BetsafeEV+15%reference odds
    • Under 0.58% probability@15.00BetssonEV+15%reference odds
    • Under 0.58% probability@15.00NordicbetEV+15%reference odds
    Bookmaker1 · SouthamptonX2 · Millwall
    Betsafe1.983.653.55
    Betsson1.983.653.55
    Nordicbet1.983.653.55
    Pinnacle1.953.81
    EV+ 3%
    3.76

    Odds updated 29 Aug, 11:37

    Odds movement

    Market signal

    The market has moved clearly towards over 2.5 goals since 23 August — the odds have shortened from 1.89 to 1.71 (−10%).

    1+4 %
    55 %45 %

    1.881.95

    X+7 %
    31 %21 %

    3.573.81

    2-8 %
    29 %19 %

    4.093.76

    Over 2,5-10 %
    58 %48 %

    1.891.71

    Pinnacle · 14 recorded price levels · 23/08/2026 → 29/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Southampton 0Draw 1Millwall 1
    Goals: 23 (⌀ 2,5)

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

    xG & xGA per match — 3-game rolling average

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

    Southampton
    Millwall
    When goals are scored and conceded 2026
    Southampton (43)
    Millwall (50)
    Pass networks

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

    Southampton
    Jack Stephens: 125 passningar, xT 0.13StephensRyan Phelim Manning: 119 passningar, xT 0.63ManningFlynn Downes: 101 passningar, xT 0.02DownesJames Bree: 85 passningar, xT 0.11BreeTaylor Jay Harwood-Bellis: 76 passningar, xT 0.17Harwood-BellisKuryu Matsuki: 70 passningar, xT 0.11MatsukiLeonardo Weschenfelder Scienza: 54 passningar, xT 0.04ScienzaNathan Dean Joshua Wood-Gordon: 49 passningar, xT 0.03Wood-GordonDaniel Peretz: 49 passningar, xT 0.06PeretzFinn Azaz: 48 passningar, xT 0.43AzazCameron Roger Bragg: 41 passningar, xT 0.05Bragg
    Millwall
    Caleb Joaquin Taylor: 105 passningar, xT 0.1TaylorJake Cooper: 100 passningar, xT 0.07CooperCasper De Norre: 88 passningar, xT 0.18NorreCamiel Neghli: 72 passningar, xT 0.49NeghliZak Sturge: 58 passningar, xT 0.26SturgeRyan Leonard: 57 passningar, xT 0.33LeonardMark Sykes: 45 passningar, xT 0.72SykesJenson Metcalfe: 41 passningar, xT 0.31MetcalfeLuke Cundle: 38 passningar, xT 0.1CundleLukas Jensen: 32 passningar, xT 0.02JensenKyrell Jeremiah Lisbie: 22 passningar, xT 0.15Lisbie
    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
    Jack Stephens: 125 passningar, xT 0.13StephensRyan Phelim Manning: 119 passningar, xT 0.63ManningFlynn Downes: 101 passningar, xT 0.02DownesJames Bree: 85 passningar, xT 0.11BreeTaylor Jay Harwood-Bellis: 76 passningar, xT 0.17Harwood-BellisKuryu Matsuki: 70 passningar, xT 0.11MatsukiLeonardo Weschenfelder Scienza: 54 passningar, xT 0.04ScienzaNathan Dean Joshua Wood-Gordon: 49 passningar, xT 0.03Wood-GordonDaniel Peretz: 49 passningar, xT 0.06PeretzFinn Azaz: 48 passningar, xT 0.43AzazCameron Roger Bragg: 41 passningar, xT 0.05Bragg
    Millwall
    Caleb Joaquin Taylor: 105 passningar, xT 0.1TaylorJake Cooper: 100 passningar, xT 0.07CooperCasper De Norre: 88 passningar, xT 0.18NorreCamiel Neghli: 72 passningar, xT 0.49NeghliZak Sturge: 58 passningar, xT 0.26SturgeRyan Leonard: 57 passningar, xT 0.33LeonardMark Sykes: 45 passningar, xT 0.72SykesJenson Metcalfe: 41 passningar, xT 0.31MetcalfeLuke Cundle: 38 passningar, xT 0.1CundleLukas Jensen: 32 passningar, xT 0.02JensenKyrell Jeremiah Lisbie: 22 passningar, xT 0.15Lisbie

    The teams in numbers

    PerformanceSouthamptonMillwall
    Points36
    xPoints2.84.7
    xG per match1.83.1
    xGA per match1.10.56
    xG within 8s of winning the ball0.250.46
    xGA within 8s of losing the ball0.450.27
    Playing styleSouthamptonMillwall
    Build-up efficiency0.30.31
    Field tilt0.720.75
    xT per match1.12
    xTA per match0.610.32
    Won balls, offensive half2826
    Pressing intensity0.210.21
    Pressing efficiency0.290.46
    Pressing efficiency, offensive half0.210.43
    Entries into the box per match1222
    Entries into the box against83
    Pass completion %0.820.74
    Pass completion % under pressure0.790.66
    Passes per match441363
    Passes against per match233210
    Switches of play per match24.838.7
    Long balls per match3948
    Set piecesSouthamptonMillwall
    xG from free kicks0.140.03
    Corners per match67.1
    Corners against per match34.6
    xG per corner0.010.02
    xGA per corner against00
    First touch, offensive corners %0.170.57
    First touch, defensive corners %0.50.89
    OtherSouthamptonMillwall
    Throw-in control0.690.66
    The goalkeepersDaniel Peretz (Southampton)Caleb Joaquin Taylor (Millwall)
    Saves32
    Save %50%100%
    xG prevented41%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Southampton vs Millwall according to our model?

    The model gives Southampton a 48% win probability. Full 1X2 picture: Southampton 48%, draw 25%, Millwall 27%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.