EFL ChampionshipThe Den, London18°0,3 mm23 km/h

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    MillwallMillwallLow block & direct
    vs
    Swansea CitySwansea CityPossession control
    The model's lean: 1 · Millwall (40%)Best value by the model: Under 2,5 @ 1.92 (+6 %)

    Millwall vs Swansea City · EFL Championship

    1 · Millwall 40%X 30%30% Swansea City · 2

    Prediction summary

    BetBuilders AI model prediction for Millwall vs Swansea City (EFL Championship, Tuesday, 13 October 2026): Millwall win 40%, draw 30%, Swansea City win 30%. Expected goals (xG): Millwall 1.32, Swansea City 1.16. Most likely score: 1-1 (13%). Over 2.5 goals 45%, both teams to score 51%. Double chance: Millwall or draw 70%, Swansea City or draw 60%. Prediction updated Monday, 5 October 2026.

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    Analysis: Millwall – Swansea City

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

    TEXT: Millwall's clash with Swansea City presents a fascinating contrast in styles, where the hosts rely on low defense and direct play while the visitors aim for possession control. This tactical dichotomy sets the stage for a tense encounter, with Millwall holding a slight model edge at 40% probability for victory compared to Swansea City's 30%. The most likely outcome is a 1-1 draw, predicted at 13%, while a narrow 1-0 win for Millwall appears plausible at 11%.

    Digging into the numbers, Millwall's xPoints stand at 14.9, higher than Swansea City's 12.3, giving Millwall the edge in underlying performance. However, Millwall's actual points tally is only 14, slightly below their xPoints, suggesting they've been marginally underperforming their underlying numbers rather than overperforming. Furthermore, Millwall boasts 1.9 xG per match, highlighting their potential to break through Swansea's defense more effectively, despite Swansea's better standing in the real points table with 20 points.

    Notably, Swansea City is riding a wave of momentum, carrying a three-game winning streak into this fixture. However, their recent head-to-head results against Millwall tell a different story, with the Lions unbeaten in their last four meetings since 2023, winning three and drawing one. Although this is a small sample size, it hints at a psychological edge for the hosts.

    From a betting perspective, all signs point towards a low-scoring affair. The model suggests a 45% chance of over 2.5 goals, while the under 2.5 goals market offers value at odds of 1.96 with both Betsafe and Nordicbet, with an 8% edge. For those seeking a more aggressive play, under 1.5 goals at 3.73 with Betsafe also presents value, rated at 29% probability. Expect a tight contest with Millwall's tactical discipline potentially tipping the scales.

    MillwallMillwall
    Form WLDDW
    League ranking xG #2xGA #10xT #3xP/match #3Points #9
    Key players
    • Jake CooperCBxG 0.04 · xT 0.04
    • Caleb Joaquin TaylorCBxG 0.15 · xT 0.06
    • Casper De NorreCDMxG 0.02 · xT 0.13
    Swansea CitySwansea City
    Form DLWWW
    League ranking xG #11xGA #5xT #9xP/match #12Points #1
    Key players
    • Josh TymonLWBxG 0.01 · xT 0.14
    • Filip LissahRBxG 0.00 · xT 0.06
    • Stephen WelshCBxG 0.02 · xT 0.15

    Match prediction: Millwall – Swansea City

    Predicted score matrix

    Swansea City →
    Millwall →
    0
    1
    2
    3
    4+
    0
    0–08.8%
    0–19.4%
    0–25.6%
    0–32.2%
    0–4+0.8%
    1
    1–010.7%
    1–113.2%
    1–27.4%
    1–32.9%
    1–4+1.1%
    2
    2–07.3%
    2–18.5%
    2–24.9%
    2–31.9%
    2–4+0.7%
    3
    3–03.2%
    3–13.7%
    3–22.1%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.4%
    4+–11.6%
    4+–20.9%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-19%
    4. 4.0-09%
    5. 5.2-18%
    Expected goals
    1,32–1,16
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,555%
    @1.92EV+6%
    Over 2,545%
    @1.93

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Millwall or draw (1X)68%
    • Under 3.5 goals76%

    Combined probability

    52%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Double chance Millwall or draw (1X)68%
    • Under 2.5 goals55%
    • Taïryk Arconte to score22%

    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 score51%
    • Over 2.5 goals45%
    • Taïryk Arconte to score22%
    • Jay Fulton to be booked25%

    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 2.555% probability@1.92BetsafeEV+6%reference odds
    • Under 2.555% probability@1.92NordicbetEV+6%reference odds
    • Under 0.59% probability@12.00BetsafeEV+6%reference odds
    Bookmaker1 · MillwallX2 · Swansea City
    Betsafe2.45
    EV+ 2%
    3.35
    2.80
    LeoVegas2.45
    EV+ 5%
    3.45
    2.85
    Nordicbet2.45
    EV+ 2%
    3.35
    2.80
    Pinnacle2.50
    EV+ 4%
    3.41
    2.86

    Odds updated 13 Oct, 08:35

    Odds movement

    1-2 %
    41 %36 %

    2.54 → 2.50

    X-1 %
    30 %25 %

    3.43 → 3.41

    2+6 %
    37 %32 %

    2.71 → 2.86

    Over 2,5+4 %
    53 %48 %

    1.85 → 1.93

    Pinnacle · 7 recorded price levels · 11/10/2026 → 13/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Millwall 3Draw 1Swansea City 0
    Goals: 5–2 (⌀ 1,8)

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

    Key facts

    • Swansea City come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Millwall
    Swansea City
    When goals are scored and conceded — 2026
    Millwall (16–15)
    Swansea City (15–7)
    Pass networks

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

    Millwall
    Caleb Joaquin Taylor: 143 passningar, xT 0.38TaylorJake Cooper: 129 passningar, xT 0.06CooperCamiel Neghli: 119 passningar, xT 0.51NeghliJenson Metcalfe: 117 passningar, xT 0.27MetcalfeZak Sturge: 108 passningar, xT 0.68SturgeDerek Mazou-Sacko: 79 passningar, xT 0.46Mazou-SackoMaxime Teremoana Crocombe: 55 passningar, xT 0.13CrocombeLyndon John Dykes: 52 passningar, xT 0.11DykesJordi Martin Emmanuel Osei-Tutu: 51 passningar, xT 0.17Osei-TutuMark Sykes: 44 passningar, xT 0.59SykesFilip Marschall: 41 passningar, xT 0.14Marschall
    Swansea City
    Stephen Welsh: 358 passningar, xT 0.68WelshBen Cabango: 292 passningar, xT 0.32CabangoFilip Lissah: 235 passningar, xT 0.29LissahJosh Tymon: 221 passningar, xT 0.81TymonMarko Seufatu Nikola Stamenić: 208 passningar, xT 0.11StamenićLawrence Vigouroux: 200 passningar, xT 0.12VigourouxStephen Antunes Eustaquio: 160 passningar, xT 0.05EustaquioViktor Melker Widell: 147 passningar, xT 0.59WidellJay Fulton: 138 passningar, xT 0.01FultonMoussa Kounfolo Yeo: 110 passningar, xT 0.67YeoJosh Key: 83 passningar, xT 0.09Key
    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.

    Millwall
    Caleb Joaquin Taylor: 143 passningar, xT 0.38TaylorJake Cooper: 129 passningar, xT 0.06CooperCamiel Neghli: 119 passningar, xT 0.51NeghliJenson Metcalfe: 117 passningar, xT 0.27MetcalfeZak Sturge: 108 passningar, xT 0.68SturgeDerek Mazou-Sacko: 79 passningar, xT 0.46Mazou-SackoMaxime Teremoana Crocombe: 55 passningar, xT 0.13CrocombeLyndon John Dykes: 52 passningar, xT 0.11DykesJordi Martin Emmanuel Osei-Tutu: 51 passningar, xT 0.17Osei-TutuMark Sykes: 44 passningar, xT 0.59SykesFilip Marschall: 41 passningar, xT 0.14Marschall
    Swansea City
    Stephen Welsh: 358 passningar, xT 0.68WelshBen Cabango: 292 passningar, xT 0.32CabangoFilip Lissah: 235 passningar, xT 0.29LissahJosh Tymon: 221 passningar, xT 0.81TymonMarko Seufatu Nikola Stamenić: 208 passningar, xT 0.11StamenićLawrence Vigouroux: 200 passningar, xT 0.12VigourouxStephen Antunes Eustaquio: 160 passningar, xT 0.05EustaquioViktor Melker Widell: 147 passningar, xT 0.59WidellJay Fulton: 138 passningar, xT 0.01FultonMoussa Kounfolo Yeo: 110 passningar, xT 0.67YeoJosh Key: 83 passningar, xT 0.09Key

    The teams in numbers

    PerformanceMillwallSwansea City
    Points1420
    xPoints14.912.3
    xG per match1.91.5
    xGA per match1.31.2
    xG within 8s of winning the ball0.350.24
    xGA within 8s of losing the ball0.270.18
    Playing styleMillwallSwansea City
    Build-up efficiency0.310.27
    Field tilt0.380.63
    xT per match1.21
    xTA per match0.970.77
    Won balls, offensive half3028
    Pressing intensity0.240.22
    Pressing efficiency0.30.37
    Pressing efficiency, offensive half0.290.37
    Entries into the box per match1512
    Entries into the box against1112
    Pass completion %0.70.78
    Pass completion % under pressure0.650.75
    Passes per match268454
    Passes against per match339283
    Switches of play per match2525.6
    Long balls per match3530
    Set piecesMillwallSwansea City
    xG from free kicks0.030.02
    Corners per match4.34.1
    Corners against per match74
    xG per corner0.040.04
    xGA per corner against0.010.05
    First touch, offensive corners %0.440.51
    First touch, defensive corners %0.490.5
    OtherMillwallSwansea City
    Throw-in control0.70.72
    The goalkeepersMaxime Teremoana Crocombe (Millwall)Lawrence Vigouroux (Swansea City)
    Saves1323
    Save %62%77%
    xG prevented37%65%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Millwall vs Swansea City according to our model?

    The model gives Millwall a 40% win probability. Full 1X2 picture: Millwall 40%, draw 30%, Swansea City 30%.

    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 45% and under at 55%.

    Will both teams score?

    The probability of both teams scoring is 51% according to the model.

    How many goals are expected in Millwall vs Swansea City?

    The model expects 1.32 goals (xG) for Millwall and 1.16 for Swansea City, 2.47 in total.

    What does the model say about double chance?

    Millwall or draw (1X) 70%, Swansea City or draw (X2) 60% and no draw (12) 70%.

    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.