Danish SuperligaMCH Arena, Herning14°18 km/h

    Läs på svenska
    MidtjyllandMidtjyllandPossession control
    vs
    BrøndbyBrøndbyPossession & high press
    The model's lean: 1 · Midtjylland (54%)

    MidtjyllandBrøndby · Danish Superliga

    1 · Midtjylland 54%X 27%20% Brøndby · 2

    Analysis: MidtjyllandBrøndby

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Midtjylland and Brøndby have faced off eight times since 2022, with the visitors holding a slight advantage. They've won four of those encounters compared to the hosts' three victories, leaving one draw. However, the head-to-head record is a small sample and doesn't weigh heavily against the current form and expected goals. Midtjylland's unbeaten run in their last seven league matches speaks volumes about their current momentum, especially when combined with their streak of scoring in eight consecutive games.

    The model slightly favors Midtjylland, giving them a 54% chance of victory. They are not only unbeaten recently but also boast an impressive record at home, winning 69% of their matches at MCH Arena. Brøndby's high press might challenge Midtjylland's possession control, but the hosts' defensive solidity — with an xGA of 1.1 per match compared to Brøndby's 1.3 — could be the deciding factor in keeping the visitors at bay.

    With an average of 3.1 goals per meeting, this fixture tends to deliver in terms of scoring. The probabilities for over 2.5 goals and both teams finding the net sit at 58%, suggesting a lively contest. While the most likely scorelines point to a 1-1 draw at 11%, the next best probabilities at 10% and 9% favor a narrow Midtjylland win, either 2-1 or 1-0.

    For those looking to find value in the odds, the home win offers a slight edge. Betsson and Nordicbet list Midtjylland at odds of 1.9, while Betsafe offers 1.88. Given the model's 54% rating for a home win, there's a modest but clear value here. While not a guarantee, the numbers suggest backing the hosts at these odds could be a profitable decision.

    MidtjyllandMidtjylland
    Form DWDWD
    League ranking xG #8xGA #1xT #1xP/match #6Points #2
    Key players
    • Dario OsorioRWxG 0.10 · xT 0.44
    • Friday Ubi EtimFxG 0.45 · xT 0.09
    • Valdemar ByskovLWxG 0.10 · xT 0.15
    BrøndbyBrøndby
    Form WWWLL
    League ranking xG #7xGA #6xT #3xP/match #9Points #5
    Key players
    • Jordi VanlerbergheCBxG 0.07 · xT 0.12
    • Mats KohlertLBxG 0.03 · xT 0.11
    • Oliver VilladsenRBxG 0.04 · xT 0.19

    Match prediction: MidtjyllandBrøndby

    Predicted score matrix

    Brøndby
    Midtjylland
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–15.6%
    0–23.5%
    0–31.4%
    0–4+0.5%
    1
    1–08.7%
    1–111.0%
    1–26.4%
    1–32.5%
    1–4+1.0%
    2
    2–08.2%
    2–19.7%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.0%
    3–15.9%
    3–23.5%
    3–31.4%
    3–4+0.5%
    4+
    4+–03.4%
    4+–14.0%
    4+–22.4%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,811,18
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.32
    Over 2,558%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Midtjylland to win54%
    • Over 1.5 goals80%

    Combined probability

    43%

    Fair odds

    2.33

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

    02 · 3 legs

    Balanced

    • Midtjylland to win54%
    • Over 2.5 goals58%
    • Kjell-Arik Wätjen 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 score58%
    • Over 2.5 goals58%
    • Kjell-Arik Wätjen to score22%
    • Bartosz Piotr Slisz to be booked23%

    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+).

    • 1 · Midtjylland54% probability@1.95BetssonEV+5%reference odds
    • 1 · Midtjylland54% probability@1.95NordicbetEV+5%reference odds
    • 1 · Midtjylland54% probability@1.92BetsafeEV+3%reference odds
    Bookmaker1 · MidtjyllandX2 · Brøndby
    Betfair Exchange1.101.101.10
    Betsafe
    EV+ 3%
    1.92
    3.653.70
    Betsson
    EV+ 5%
    1.95
    3.703.75
    Nordicbet
    EV+ 5%
    1.95
    3.703.75
    Pinnacle1.853.554.24

    Odds updated 11 Sept, 16:33

    Odds movement

    1-1 %
    53 %48 %

    1.881.85

    X+4 %
    30 %25 %

    3.433.55

    2-1 %
    25 %20 %

    4.284.24

    Pinnacle · 6 recorded price levels · 08/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Midtjylland 3Draw 1Brøndby 4
    Goals: 1015 (⌀ 3,1)

    Head-to-head based on Danish Superliga data since 2022.

    Key facts

    • A high-scoring fixture: 3.1 goals per meeting on average.
    • Midtjylland are unbeaten in their last 7 league matches.
    • Midtjylland have scored in 8 consecutive league matches.
    • Midtjylland win 69% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Midtjylland
    Brøndby
    When goals are scored and conceded 2026
    Midtjylland (127)
    Brøndby (1110)
    Pass networks

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

    Midtjylland
    Rasmus Kristensen: 226 passningar, xT 1KristensenMagnus Jensen: 221 passningar, xT 0.6JensenPhilip Billing: 172 passningar, xT 1.13BillingMartin Jedlicka: 161 passningar, xT 0.08JedlickaPedro Bravo: 146 passningar, xT 0.16BravoMads Bech Sorensen: 131 passningar, xT 0.63SorensenElias Olafsson: 121 passningar, xT 0.09OlafssonDario Osorio: 89 passningar, xT 1.56OsorioBeni Junior Djé Bi Djé: 86 passningar, xT 0.8DjéDenil Castillo: 70 passningar, xT -0.06CastilloKjell-Arik Wätjen: 64 passningar, xT 0.27Wätjen
    Brøndby
    Luis Binks: 381 passningar, xT 0.53BinksBartosz Piotr Slisz: 297 passningar, xT 0.55SliszJordi Vanlerberghe: 284 passningar, xT 0.54VanlerbergheOliver Villadsen: 244 passningar, xT 0.88VilladsenMats Kohlert: 200 passningar, xT 0.39KohlertMax Ejdum: 197 passningar, xT 0.09EjdumMads Frøkjær-Jensen: 194 passningar, xT 0.74Frøkjær-JensenPatrick Pentz: 154 passningar, xT 0.14PentzRaphael Canut Pedersen: 90 passningar, xT 0.11PedersenMarko Divkovic: 89 passningar, xT 0.3DivkovicMarcus Younis: 64 passningar, xT 0.31Younis
    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.

    Midtjylland
    Rasmus Kristensen: 226 passningar, xT 1KristensenMagnus Jensen: 221 passningar, xT 0.6JensenPhilip Billing: 172 passningar, xT 1.13BillingMartin Jedlicka: 161 passningar, xT 0.08JedlickaPedro Bravo: 146 passningar, xT 0.16BravoMads Bech Sorensen: 131 passningar, xT 0.63SorensenElias Olafsson: 121 passningar, xT 0.09OlafssonDario Osorio: 89 passningar, xT 1.56OsorioBeni Junior Djé Bi Djé: 86 passningar, xT 0.8DjéDenil Castillo: 70 passningar, xT -0.06CastilloKjell-Arik Wätjen: 64 passningar, xT 0.27Wätjen
    Brøndby
    Luis Binks: 381 passningar, xT 0.53BinksBartosz Piotr Slisz: 297 passningar, xT 0.55SliszJordi Vanlerberghe: 284 passningar, xT 0.54VanlerbergheOliver Villadsen: 244 passningar, xT 0.88VilladsenMats Kohlert: 200 passningar, xT 0.39KohlertMax Ejdum: 197 passningar, xT 0.09EjdumMads Frøkjær-Jensen: 194 passningar, xT 0.74Frøkjær-JensenPatrick Pentz: 154 passningar, xT 0.14PentzRaphael Canut Pedersen: 90 passningar, xT 0.11PedersenMarko Divkovic: 89 passningar, xT 0.3DivkovicMarcus Younis: 64 passningar, xT 0.31Younis

    The teams in numbers

    PerformanceMidtjyllandBrøndby
    Points1513
    xPoints9.48.7
    xG per match1.41.5
    xGA per match1.11.3
    xG within 8s of winning the ball0.30.39
    xGA within 8s of losing the ball0.130.38
    Playing styleMidtjyllandBrøndby
    Build-up efficiency0.310.32
    Field tilt0.540.7
    xT per match1.51.4
    xTA per match0.890.87
    Won balls, offensive half3228
    Pressing intensity0.220.23
    Pressing efficiency0.340.32
    Pressing efficiency, offensive half0.320.28
    Entries into the box per match1618
    Entries into the box against1313
    Pass completion %0.730.79
    Pass completion % under pressure0.690.74
    Passes per match344448
    Passes against per match279320
    Switches of play per match34.628.6
    Long balls per match4531
    Set piecesMidtjyllandBrøndby
    xG from free kicks0.030.17
    Corners per match5.97.5
    Corners against per match4.44.5
    xG per corner0.030.02
    xGA per corner against0.010.03
    First touch, offensive corners %0.360.27
    First touch, defensive corners %0.650.58
    OtherMidtjyllandBrøndby
    Throw-in control0.750.75
    The goalkeepersElias Olafsson (Midtjylland)Patrick Pentz (Brøndby)
    Saves1520
    Save %68%69%
    xG prevented39%57%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Midtjylland vs Brøndby according to our model?

    The model gives Midtjylland a 54% win probability. Full 1X2 picture: Midtjylland 54%, draw 27%, Brøndby 20%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.