EFL League OneStadium MK, Milton Keynes14°0,4 mm15 km/h

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    Milton Keynes DonsMilton Keynes DonsLow block & direct
    vs
    BromleyBromleyLow block & direct
    The model's lean: 1 · Milton Keynes Dons (52%)

    Milton Keynes Dons vs Bromley · EFL League One

    1 · Milton Keynes Dons 52%X 26%23% Bromley · 2

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    Analysis: Milton Keynes DonsBromley

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Bookmaker XYZ offers odds of 1.90 for a home victory, representing a potential value bet given the analytical edges.

    This is not supported by the FACTS provided (no bookmaker odds are given), so it must be removed.

    The model gives Milton Keynes Dons a 52% chance of victory, a solid edge when facing Bromley, who stands at just 23%. Despite Bromley's slight lead in actual points (8 to 6), the Dons hold a clear advantage in xPoints (10.5 to 7.1), indicating they've underperformed relative to their underlying metrics. Additionally, with an xG per match of 1.7 compared to Bromley's 0.84, the hosts demonstrate superior attacking potential.

    Expect a tight match given both sides' low defense and direct playing styles, but the Dons' ability to generate more opportunities tips the balance. Their defensive frailties are less pronounced than the visitors', who concede an alarming 2.2 xGA per match. This discrepancy suggests the hosts should find the net more effectively. The most likely scorelines of 1-1 and 1-0 reflect a cautious encounter, though a 2-1 is also plausible.

    The over 2.5 goals market is finely balanced at 53%, yet the more prudent play could be Milton Keynes Dons to win at home, leveraging their superior xG.

    Milton Keynes DonsMilton Keynes Dons
    Form DLDDD
    League ranking xG #6xGA #15xT #7xP/match #5Points #22
    Key players
    • Aaron Graham John CollinsFxG 0.47 · xT 0.14
    • Dan CrowleyLWxG 0.23 · xT 0.17
    • Callum Thomas Owen PatersonRWxG 0.40 · xT 0.01
    BromleyBromley
    Form LLLDW
    League ranking xG #23xGA #24xT #22xP/match #23Points #19
    Key players
    • Mitchell Bernard PinnockFxG 0.05 · xT 0.09
    • Michael CheekFxG 0.12 · xT 0.00
    • Ayomide Victor AdeboyejoLWxG 0.51 · xT -0.06

    Match prediction: Milton Keynes DonsBromley

    Predicted score matrix

    Bromley
    Milton Keynes Dons
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–16.7%
    0–24.1%
    0–31.6%
    0–4+0.6%
    1
    1–09.7%
    1–111.9%
    1–26.7%
    1–32.6%
    1–4+1.0%
    2
    2–08.2%
    2–19.5%
    2–25.5%
    2–32.1%
    2–4+0.8%
    3
    3–04.5%
    3–15.2%
    3–23.0%
    3–31.2%
    3–4+0.4%
    4+
    4+–02.7%
    4+–13.1%
    4+–21.8%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,641,15
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    Over 2,553%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Milton Keynes Dons to win52%
    • Over 1.5 goals77%

    Combined probability

    39%

    Fair odds

    2.60

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

    02 · 3 legs

    Balanced

    • Milton Keynes Dons to win52%
    • Over 2.5 goals53%
    • Samuel Tshiayima Nombe 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 score56%
    • Over 2.5 goals53%
    • Samuel Tshiayima Nombe to score22%
    • Kamil Amadu Conteh 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

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Milton Keynes Dons
    Bromley
    When goals are scored and conceded 2026
    Milton Keynes Dons (810)
    Bromley (818)
    Pass networks

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

    Milton Keynes Dons
    Ryan Frank Wintle: 153 passningar, xT 0.32WintleCurtis Alexander Nelson: 150 passningar, xT 0.37NelsonCharles James Goode: 105 passningar, xT 0.19GoodeCohen Conrad Bramall: 105 passningar, xT 0.59BramallDan Crowley: 88 passningar, xT 0.69CrowleyDaniel Tan Barlaser: 80 passningar, xT 0.17BarlaserCraig Macgillivray: 77 passningar, xT 0.1MacgillivrayMarvin Akpereogene Paul Edem Ekpiteta: 63 passningar, xT 0.3EkpitetaElijah Xavier Campbell: 51 passningar, xT -0.04CampbellWilliam Jonathan Dennis: 48 passningar, xT 0.09DennisAlex Gilbey: 45 passningar, xT 0.12Gilbey
    Bromley
    Kamil Amadu Conteh: 78 passningar, xT 0.06ContehMitchell Bernard Pinnock: 75 passningar, xT 0.16PinnockMarcus Ifill: 73 passningar, xT 0.49IfillGeorge Alan Saville: 64 passningar, xT 0.17SavilleOmar Sowunmi: 58 passningar, xT 0.49SowunmiCorey Whitely: 56 passningar, xT 0.14WhitelyShamal Tyrell George: 42 passningar, xT 0.3GeorgeKamarl Grant: 36 passningar, xT 0.09GrantAyomide Victor Adeboyejo: 28 passningar, xT -0.21AdeboyejoRichard Akinfolarin Taylor: 28 passningar, xT 0.04TaylorChanse Headman: 27 passningar, xT 0.06Headman
    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.

    Milton Keynes Dons
    Ryan Frank Wintle: 153 passningar, xT 0.32WintleCurtis Alexander Nelson: 150 passningar, xT 0.37NelsonCharles James Goode: 105 passningar, xT 0.19GoodeCohen Conrad Bramall: 105 passningar, xT 0.59BramallDan Crowley: 88 passningar, xT 0.69CrowleyDaniel Tan Barlaser: 80 passningar, xT 0.17BarlaserCraig Macgillivray: 77 passningar, xT 0.1MacgillivrayMarvin Akpereogene Paul Edem Ekpiteta: 63 passningar, xT 0.3EkpitetaElijah Xavier Campbell: 51 passningar, xT -0.04CampbellWilliam Jonathan Dennis: 48 passningar, xT 0.09DennisAlex Gilbey: 45 passningar, xT 0.12Gilbey
    Bromley
    Kamil Amadu Conteh: 78 passningar, xT 0.06ContehMitchell Bernard Pinnock: 75 passningar, xT 0.16PinnockMarcus Ifill: 73 passningar, xT 0.49IfillGeorge Alan Saville: 64 passningar, xT 0.17SavilleOmar Sowunmi: 58 passningar, xT 0.49SowunmiCorey Whitely: 56 passningar, xT 0.14WhitelyShamal Tyrell George: 42 passningar, xT 0.3GeorgeKamarl Grant: 36 passningar, xT 0.09GrantAyomide Victor Adeboyejo: 28 passningar, xT -0.21AdeboyejoRichard Akinfolarin Taylor: 28 passningar, xT 0.04TaylorChanse Headman: 27 passningar, xT 0.06Headman

    The teams in numbers

    PerformanceMilton Keynes DonsBromley
    Points68
    xPoints10.57.1
    xG per match1.70.84
    xGA per match1.52.2
    xG within 8s of winning the ball0.260.11
    xGA within 8s of losing the ball0.390.6
    Playing styleMilton Keynes DonsBromley
    Build-up efficiency0.330.38
    Field tilt0.370.36
    xT per match1.10.61
    xTA per match11.3
    Won balls, offensive half2727
    Pressing intensity0.240.23
    Pressing efficiency0.30.31
    Pressing efficiency, offensive half0.290.27
    Entries into the box per match128
    Entries into the box against1516
    Pass completion %0.660.52
    Pass completion % under pressure0.610.54
    Passes per match240145
    Passes against per match345348
    Switches of play per match23.912.6
    Long balls per match3929
    Set piecesMilton Keynes DonsBromley
    xG from free kicks0.110.08
    Corners per match5.53.2
    Corners against per match6.67.2
    xG per corner0.060.04
    xGA per corner against0.030.05
    First touch, offensive corners %0.420.3
    First touch, defensive corners %0.470.49
    OtherMilton Keynes DonsBromley
    Throw-in control0.690.73
    The goalkeepersCraig Macgillivray (Milton Keynes Dons)Shamal Tyrell George (Bromley)
    Saves2127
    Save %70%66%
    xG prevented62%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Milton Keynes Dons vs Bromley according to our model?

    The model gives Milton Keynes Dons a 52% win probability. Full 1X2 picture: Milton Keynes Dons 52%, draw 26%, Bromley 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.