Danish SuperligaMCH Arena, Herning14°0,3 mm24 km/h

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    MidtjyllandMidtjyllandPossession control
    vs
    RandersRandersBalanced & physical
    The model's lean: 1 · Midtjylland (64%)Best value by the model: 2 · Randers @ 6.50 (+4 %)

    MidtjyllandRanders · Danish Superliga

    1 · Midtjylland 64%X 20%16% Randers · 2

    Analysis: MidtjyllandRanders

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

    Four wins to one in six meetings — that's the story of Midtjylland's recent dominance over Randers in this fixture. When these two sides clash, it generally leans heavily towards the home team. Midtjylland's win probability sits at a robust 64%, while Randers, despite their physical and balanced approach, have just a marginal 16% chance. The historical head-to-head suggests a pattern that's hard to ignore, even with the small sample size since 2022.

    Midtjylland’s expected goals of 2.13 compared to Randers’ 0.89 paints a clear picture of the attacking disparity. The possession-oriented strategy at home has seen them win 70% of matches, and their xGA of 0.69 per match further underscores their defensive solidity. Meanwhile, Randers’ xGA sits at a troubling 1.6, pointing to potential vulnerabilities that Midtjylland will look to exploit.

    Two to zero or even two to one seem the most likely scorelines, with the model giving these outcomes a combined 21% likelihood. The over 2.5 goals market is also attractive at 58%, especially considering the average of 3.8 goals per meeting between these two. With Midtjylland dictating play, a goal feast isn't out of the question, but Randers’ physicality could muddy the waters just enough to keep it tight.

    Randers sit four points behind Midtjylland, but interestingly, they edge them slightly in xPoints — 4.4 to Midtjylland’s 4.1. This nuance suggests Randers might not be as far behind as the points suggest. For the brave punter, there's an intriguing value play on Randers at odds of 6.9 with Betsson and Nordicbet, rated with an 11% edge by the model. At these odds, the calculated risk may just be worth the punt.

    MidtjyllandMidtjylland
    Form DLWWD
    League ranking xG #8xGA #2xT #5xP/match #5Points #3
    Key players
    • Mads Bech SorensenCBxG 0.01 · xT 0.21
    • Valdemar ByskovLWxG 0.11 · xT 0.09
    • Friday Ubi EtimFxG 0.29 · xT 0.04
    RandersRanders
    Form LDLWL
    League ranking xG #12xGA #10xT #10xP/match #11Points #8
    Key players
    • Mike ThemsenFxG 0.18 · xT 0.04
    • Kasper Aalund JunkerLWxG 0.45 · xT -0.02
    • Mohamed Ortaim SankohFxG 0.15 · xT -0.13

    Match prediction: MidtjyllandRanders

    Predicted score matrix

    Randers
    Midtjylland
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–14.1%
    0–21.9%
    0–30.6%
    0–4+0.2%
    1
    1–010.2%
    1–19.5%
    1–24.1%
    1–31.2%
    1–4+0.3%
    2
    2–011.1%
    2–19.9%
    2–24.4%
    2–31.3%
    2–4+0.3%
    3
    3–07.9%
    3–17.0%
    3–23.1%
    3–30.9%
    3–4+0.2%
    4+
    4+–06.8%
    4+–16.1%
    4+–22.7%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.1-110%
    5. 5.3-08%
    Expected goals
    2,130,89
    Both teams to score
    52%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.28
    Over 2,558%
    @1.60

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Midtjylland to win64%
    • Over 1.5 goals81%

    Combined probability

    55%

    Fair odds

    1.81

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

    02 · 3 legs

    Balanced

    • Midtjylland to win64%
    • Over 2.5 goals58%
    • Franculino Gluda Djú to score33%

    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 goals58%
    • Franculino Gluda Djú to score33%
    • Daniel Mathias Høegh to be booked21%

    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+).

    • 2 · Randers16% probability@6.50BetssonEV+4%reference odds
    • 2 · Randers16% probability@6.50NordicbetEV+4%reference odds
    • 2 · Randers16% probability@6.40BetsafeEV+3%reference odds
    Bookmaker1 · MidtjyllandX2 · Randers
    Betsafe1.484.30
    EV+ 3%
    6.40
    Betsson1.494.40
    EV+ 4%
    6.50
    Nordicbet1.494.40
    EV+ 4%
    6.50

    Odds updated 18 Aug, 16:36

    Odds movement

    1-1 %
    66 %61 %

    1.501.49

    X-3 %
    24 %19 %

    4.554.40

    2+10 %
    17 %12 %

    5.906.50

    Over 2,50 %
    61 %56 %

    1.601.60

    Betsson · 9 recorded price levels · 16/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Midtjylland 4Draw 1Randers 1
    Goals: 149 (⌀ 3,8)

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

    Key facts

    • Midtjylland dominate this fixture historically: 4 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.8 goals per meeting on average.
    • Midtjylland win 70% of their home matches all-time (33 played).
    xG & xGA per match — 3-game rolling average

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

    Midtjylland
    Randers
    When goals are scored and conceded 2026
    Midtjylland (64)
    Randers (36)
    Pass networks

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

    Midtjylland
    Mads Bech Sorensen: 184 passningar, xT 0.62SorensenMartin Jedlicka: 146 passningar, xT 0.39JedlickaRasmus Kristensen: 132 passningar, xT 0.1KristensenPhilip Billing: 94 passningar, xT 0.11BillingDario Osorio: 80 passningar, xT 1.13OsorioPedro Bravo: 76 passningar, xT 0.01BravoValdemar Byskov: 75 passningar, xT 0.15ByskovElias Olafsson: 69 passningar, xT 0.1OlafssonMagnus Jensen: 55 passningar, xT 0.1JensenBeni Junior Djé Bi Djé: 33 passningar, xT 0.05DjéDenil Castillo: 31 passningar, xT 0.03Castillo
    Randers
    Wessel Dammers: 253 passningar, xT 0.29DammersDaniel Hoegh: 218 passningar, xT 0.29HoeghElies Mahmoud: 160 passningar, xT 0.2MahmoudMike Themsen: 125 passningar, xT 0.02ThemsenLaurits Pedersen: 110 passningar, xT 0.09Pedersen Jannich Storch: 95 passningar, xT 0.11StorchJohn Bjorkengren: 95 passningar, xT -0.04BjorkengrenMathias Greve: 78 passningar, xT -0.04GreveMartin André Sjølstad: 78 passningar, xT 0.4SjølstadFrederik Lauenborg: 77 passningar, xT 0.04LauenborgSabil Hansen: 61 passningar, xT 0.18Hansen
    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
    Mads Bech Sorensen: 184 passningar, xT 0.62SorensenMartin Jedlicka: 146 passningar, xT 0.39JedlickaRasmus Kristensen: 132 passningar, xT 0.1KristensenPhilip Billing: 94 passningar, xT 0.11BillingDario Osorio: 80 passningar, xT 1.13OsorioPedro Bravo: 76 passningar, xT 0.01BravoValdemar Byskov: 75 passningar, xT 0.15ByskovElias Olafsson: 69 passningar, xT 0.1OlafssonMagnus Jensen: 55 passningar, xT 0.1JensenBeni Junior Djé Bi Djé: 33 passningar, xT 0.05DjéDenil Castillo: 31 passningar, xT 0.03Castillo
    Randers
    Wessel Dammers: 253 passningar, xT 0.29DammersDaniel Hoegh: 218 passningar, xT 0.29HoeghElies Mahmoud: 160 passningar, xT 0.2MahmoudMike Themsen: 125 passningar, xT 0.02ThemsenLaurits Pedersen: 110 passningar, xT 0.09Pedersen Jannich Storch: 95 passningar, xT 0.11StorchJohn Bjorkengren: 95 passningar, xT -0.04BjorkengrenMathias Greve: 78 passningar, xT -0.04GreveMartin André Sjølstad: 78 passningar, xT 0.4SjølstadFrederik Lauenborg: 77 passningar, xT 0.04LauenborgSabil Hansen: 61 passningar, xT 0.18Hansen

    The teams in numbers

    PerformanceMidtjyllandRanders
    Points74
    xPoints4.14.4
    xG per match1.10.75
    xGA per match0.691.6
    xG within 8s of winning the ball0.250.16
    xGA within 8s of losing the ball0.150.3
    Playing styleMidtjyllandRanders
    Build-up efficiency0.310.31
    Field tilt0.60.39
    xT per match1.10.63
    xTA per match0.891.2
    Won balls, offensive half3022
    Pressing intensity0.210.26
    Pressing efficiency0.390.26
    Pressing efficiency, offensive half0.390.17
    Entries into the box per match158
    Entries into the box against1221
    Pass completion %0.720.78
    Pass completion % under pressure0.70.74
    Passes per match351389
    Passes against per match227506
    Switches of play per match34.122.3
    Long balls per match4028
    Set piecesMidtjyllandRanders
    xG from free kicks0.030.03
    Corners per match5.24.5
    Corners against per match3.67.8
    xG per corner0.020.02
    xGA per corner against0.040.02
    First touch, offensive corners %0.440.44
    First touch, defensive corners %0.640.61
    OtherMidtjyllandRanders
    Throw-in control0.730.73
    The goalkeepersPhilip Billing (Midtjylland) Jannich Storch (Randers)
    Saves315
    Save %100%71%
    xG prevented100%58%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Midtjylland vs Randers according to our model?

    The model gives Midtjylland a 64% win probability. Full 1X2 picture: Midtjylland 64%, draw 20%, Randers 16%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 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 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.