Danish SuperligaJYSK park, Silkeborg17°13,7 mm21 km/h

    Läs på svenska
    SilkeborgSilkeborgBalanced & physical
    vs
    MidtjyllandMidtjyllandPossession control
    The model's lean: 2 · Midtjylland (68%)Best value by the model: Over 4,5 @ 4.00 (+37 %)

    SilkeborgMidtjylland · Danish Superliga

    1 · Silkeborg 14%X 18%68% Midtjylland · 2

    Analysis: SilkeborgMidtjylland

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

    The most glaring takeaway here is the dominant streak Midtjylland holds against Silkeborg, winning all four of their encounters since 2022. While this small sample size carries less weight than current form and expected goals, it underscores a psychological edge for Midtjylland. Coupled with the model's strong tilt towards Midtjylland at a 68% win probability, the stage seems set for them to extend their run.

    Midtjylland's possession-driven style is likely to overpower Silkeborg's balanced and physical approach. The expected goals (xG) model favors Midtjylland significantly at 2.81 compared to Silkeborg's 1.04, indicating a potential for a multi-goal victory. Despite Silkeborg's more physical play, they haven't translated it into defensive solidity, as their expected goals against (xGA) stands at a troubling 1.6 per match. Meanwhile, Midtjylland's defense has been notably tighter, conceding an xGA of just 0.71.

    Goals are anticipated, with the model assigning a 74% probability to over 2.5 goals and a 61% chance for both teams to find the net. The most likely outcomes hover around a comfortable Midtjylland victory, either 1-2 or 0-2, as per the model's top scorelines.

    For bettors seeking an edge, the ambitious over 4.5 goals market stands out. With Betsafe, Betsson, and Nordicbet offering odds of 3.7, there's a notable 27% edge based on the model's 34% estimation. Given the offensive firepower expected from Midtjylland and Silkeborg's leaky defense, this high-scoring proposition could offer significant value.

    SilkeborgSilkeborg
    Form DLWLL
    League ranking xG #11xGA #11xT #11xP/match #9Points #8
    Key players
    • Mads LarsenCDMxG 0.00 · xT 0.02
    • Callum MccowattCMxG 0.16 · xT 0.15
    • Oliver RossLWxG 0.28 · xT 0.16
    MidtjyllandMidtjylland
    Form LWWDW
    League ranking xG #7xGA #1xT #5xP/match #5Points #4
    Key players
    • Dario OsorioRWxG 0.12 · xT 0.42
    • Mads Bech SorensenCBxG 0.08 · xT 0.18
    • Valdemar ByskovLWxG 0.10 · xT 0.15

    Match prediction: SilkeborgMidtjylland

    Predicted score matrix

    Midtjylland
    Silkeborg
    0
    1
    2
    3
    4+
    0
    0–02.3%
    0–15.8%
    0–28.4%
    0–37.9%
    0–4+11.0%
    1
    1–02.0%
    1–16.4%
    1–28.7%
    1–38.2%
    1–4+11.4%
    2
    2–01.1%
    2–13.2%
    2–24.5%
    2–34.3%
    2–4+5.9%
    3
    3–00.4%
    3–11.1%
    3–21.6%
    3–31.5%
    3–4+2.1%
    4+
    4+–00.1%
    4+–10.4%
    4+–20.5%
    4+–30.5%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-29%
    2. 2.0-28%
    3. 3.1-38%
    4. 4.0-38%
    5. 5.1-16%
    Expected goals
    1,042,81
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,9
    Under 2,526%
    @2.58
    Over 2,574%
    @1.50EV+10%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Midtjylland to win68%
    • Over 1.5 goals90%

    Combined probability

    68%

    Fair odds

    1.47

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

    02 · 3 legs

    Balanced

    • Midtjylland to win68%
    • Over 2.5 goals74%
    • José Francisco dos Santos Júnior to score21%

    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 score61%
    • Over 2.5 goals74%
    • José Francisco dos Santos Júnior to score21%
    • Mads Larsen 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

    The model's value spots

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

    • Over 4.534% probability@4.00Paddy PowerEV+37%reference odds
    • Over 4.534% probability@3.70BetsafeEV+27%reference odds
    • Over 4.534% probability@3.70BetssonEV+27%reference odds
    Bookmaker1 · SilkeborgX2 · Midtjylland
    Betfair Exchange1.201.101.20
    Betsafe6.304.30
    EV+ 1%
    1.49
    Betsson6.404.35
    EV+ 2%
    1.50
    Nordicbet6.404.35
    EV+ 2%
    1.50
    Paddy Power5.004.331.44
    Pinnacle5.834.921.46

    Odds updated 27 Aug, 08:37

    Odds movement

    1+5 %
    19 %14 %

    5.545.83

    X+3 %
    22 %17 %

    4.794.92

    2-2 %
    66 %61 %

    1.491.46

    Pinnacle · 3 recorded price levels · 25/08/2026 → 26/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Silkeborg 0Draw 0Midtjylland 4
    Goals: 312 (⌀ 3,8)

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

    xG & xGA per match — 3-game rolling average

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

    Silkeborg
    Midtjylland
    When goals are scored and conceded 2026
    Silkeborg (48)
    Midtjylland (74)
    Pass networks

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

    Silkeborg
    Mads Larsen: 309 passningar, xT 0.03LarsenRobin Ostrom: 309 passningar, xT 0.12OstromVillads Westh: 257 passningar, xT 0.12WesthWilliam Lokke Moller: 213 passningar, xT 0.13MollerAlexander Madsen: 173 passningar, xT 0.33MadsenCallum Mccowatt: 167 passningar, xT 0.59MccowattJens Martin Gammelby: 149 passningar, xT 0.04GammelbyRami Al Hajj: 132 passningar, xT 0.27HajjAske Andresen: 108 passningar, xT 0.04AndresenOliver Ross: 71 passningar, xT 0.09RossWilliam Kirk: 69 passningar, xT -0.02Kirk
    Midtjylland
    Mads Bech Sorensen: 241 passningar, xT 0.71SorensenRasmus Kristensen: 187 passningar, xT 0.17KristensenMartin Jedlicka: 166 passningar, xT 0.37JedlickaDario Osorio: 111 passningar, xT 1.64OsorioPhilip Billing: 104 passningar, xT 0.12BillingPedro Bravo: 102 passningar, xT 0BravoElias Olafsson: 99 passningar, xT 0.12OlafssonValdemar Byskov: 94 passningar, xT 0.32ByskovMagnus Jensen: 83 passningar, xT 0.23JensenDenil Castillo: 41 passningar, xT 0.02CastilloBeni Junior Djé Bi Djé: 37 passningar, xT 0.08Djé
    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.

    Silkeborg
    Mads Larsen: 309 passningar, xT 0.03LarsenRobin Ostrom: 309 passningar, xT 0.12OstromVillads Westh: 257 passningar, xT 0.12WesthWilliam Lokke Moller: 213 passningar, xT 0.13MollerAlexander Madsen: 173 passningar, xT 0.33MadsenCallum Mccowatt: 167 passningar, xT 0.59MccowattJens Martin Gammelby: 149 passningar, xT 0.04GammelbyRami Al Hajj: 132 passningar, xT 0.27HajjAske Andresen: 108 passningar, xT 0.04AndresenOliver Ross: 71 passningar, xT 0.09RossWilliam Kirk: 69 passningar, xT -0.02Kirk
    Midtjylland
    Mads Bech Sorensen: 241 passningar, xT 0.71SorensenRasmus Kristensen: 187 passningar, xT 0.17KristensenMartin Jedlicka: 166 passningar, xT 0.37JedlickaDario Osorio: 111 passningar, xT 1.64OsorioPhilip Billing: 104 passningar, xT 0.12BillingPedro Bravo: 102 passningar, xT 0BravoElias Olafsson: 99 passningar, xT 0.12OlafssonValdemar Byskov: 94 passningar, xT 0.32ByskovMagnus Jensen: 83 passningar, xT 0.23JensenDenil Castillo: 41 passningar, xT 0.02CastilloBeni Junior Djé Bi Djé: 37 passningar, xT 0.08Djé

    The teams in numbers

    PerformanceSilkeborgMidtjylland
    Points410
    xPoints5.95.7
    xG per match0.831.2
    xGA per match1.60.71
    xG within 8s of winning the ball0.230.22
    xGA within 8s of losing the ball0.290.16
    Playing styleSilkeborgMidtjylland
    Build-up efficiency0.320.31
    Field tilt0.370.58
    xT per match0.551.2
    xTA per match1.30.92
    Won balls, offensive half1834
    Pressing intensity0.250.22
    Pressing efficiency0.240.41
    Pressing efficiency, offensive half0.190.41
    Entries into the box per match1216
    Entries into the box against1513
    Pass completion %0.810.72
    Pass completion % under pressure0.770.67
    Passes per match442348
    Passes against per match483225
    Switches of play per match16.336.4
    Long balls per match2145
    Set piecesSilkeborgMidtjylland
    xG from free kicks0.030.03
    Corners per match5.26.4
    Corners against per match5.83.9
    xG per corner0.020.02
    xGA per corner against0.010.03
    First touch, offensive corners %0.620.42
    First touch, defensive corners %0.660.69
    OtherSilkeborgMidtjylland
    Throw-in control0.690.75
    The goalkeepersAske Andresen (Silkeborg)Elias Olafsson (Midtjylland)
    Saves165
    Save %67%56%
    xG prevented48%43%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Silkeborg vs Midtjylland according to our model?

    The model gives Midtjylland a 68% win probability. Full 1X2 picture: Silkeborg 14%, draw 18%, Midtjylland 68%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 74% and under at 26%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.