Danish SuperligaSydbank Park, Haderslev10°23 km/h

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    SønderjyskESønderjyskELow block & direct
    4–0
    SilkeborgSilkeborgCounter-attacks & crosses
    The model's lean: 2 · Silkeborg (37%)

    SønderjyskE vs Silkeborg · Danish Superliga

    1 · SønderjyskE 36%X 27%37% Silkeborg · 2

    Prediction summary

    Final score 4–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for SønderjyskE vs Silkeborg (Danish Superliga, Sunday, 18 October 2026): SønderjyskE win 36%, draw 27%, Silkeborg win 37%. Expected goals (xG): SønderjyskE 1.37, Silkeborg 1.35. Most likely score: 1-1 (13%). Over 2.5 goals 51%, both teams to score 56%. Double chance: SønderjyskE or draw 63%, Silkeborg or draw 64%. Prediction updated Saturday, 10 October 2026.

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    Analysis: SønderjyskE – Silkeborg

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

    Sønderjyske might have the small upper hand in their head-to-head clashes with Silkeborg since 2022, winning both meetings, but it's crucial to note that the sample size of two matches is minimal. This slim historical edge loses weight against the current form and expected goals data, both of which suggest Silkeborg holds the advantage. The visitors are riding a 5-match unbeaten streak in the league, a clear sign of their defensive and tactical solidity.

    Examining the broader performance metrics, Silkeborg edges ahead in both xPoints (14.2 to 11.0) and xG per match (1.1 to 1.0), while also maintaining a tighter defense with an xGA of 1.5 compared to Sønderjyske's 1.9. These statistics reflect a side that is not only difficult to break down but also effective at creating scoring opportunities, albeit slightly more than their opponents. The expected goals suggest a tightly contested encounter, with Sønderjyske expected to score 1.37 and Silkeborg 1.35, reinforcing the model's near-even allocation of winning probabilities.

    Weather conditions might play a significant role, with over 20 mm of rain anticipated. The wet conditions could dampen the attacking play, favoring Silkeborg's counter-attacking style while potentially stifling Sønderjyske's direct approach. Despite a slight model preference for Silkeborg, the most likely outcome is a 1-1 draw, a sentiment echoed by a 13% probability.

    For those seeking value, the under 2.5 goals market offers a tempting proposition. Betsafe prices this at 2.38, with the model suggesting a 49% chance, giving a healthy 16% edge. While the allure of a low-scoring draw is strong, the defensive discipline and weather conditions could align to keep this affair under the 2.5-goal mark, a pragmatic choice for the cautious bettor.

    SønderjyskESønderjyskE
    Form LLDWL
    League ranking xG #12xGA #11xT #10xP/match #11Points #12
    Key players
    • Mohamed Cherif HaidaraCAMxG 0.25 · xT 0.00
    • Maxime SoulasCBxG 0.05 · xT 0.12
    • Ismaïl SeydiRWxG 0.15 · xT 0.14
    SilkeborgSilkeborg
    Form DDDWD
    League ranking xG #11xGA #7xT #12xP/match #5Points #7
    Key players
    • Mads LarsenCDMxG 0.06 · xT 0.02
    • Callum MccowattCAMxG 0.16 · xT 0.16
    • Villads WesthCMxG 0.05 · xT 0.09
    Final score
    4 – 0
    The model missed the outcome
    Predicted probabilities: SønderjyskE 36% · Draw 27% · Silkeborg 37%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - SilkeborgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,14fair 10,45-22 %
    Miss
    Matchresultat - SønderjyskEBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,94fair 10,15-41 %
    Miss

    Match prediction: SønderjyskE – Silkeborg

    Predicted score matrix

    Silkeborg →
    SønderjyskE →
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–18.6%
    0–26.0%
    0–32.7%
    0–4+1.2%
    1
    1–08.7%
    1–112.6%
    1–28.2%
    1–33.7%
    1–4+1.7%
    2
    2–06.2%
    2–18.3%
    2–25.6%
    2–32.5%
    2–4+1.1%
    3
    3–02.8%
    3–13.8%
    3–22.6%
    3–31.2%
    3–4+0.5%
    4+
    4+–01.3%
    4+–11.8%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-28%
    Expected goals
    1,37–1,35
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.24EV+7%
    Over 2,551%
    @1.69

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Silkeborg or draw (X2)63%
    • Over 1.5 goals76%

    Combined probability

    47%

    Fair odds

    2.11

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

    02 · 3 legs

    Balanced

    • Double chance Silkeborg or draw (X2)63%
    • Over 2.5 goals51%
    • Mads Lautrup Freundlich to score20%

    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 goals51%
    • Mads Lautrup Freundlich to score20%
    • Sefer Emini to be booked19%

    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 · Silkeborg37% probability@3.05BetsafeEV+12%reference odds
    • 2 · Silkeborg37% probability@3.05NordicbetEV+12%reference odds
    • Under 2.549% probability@2.24PinnacleEV+10%reference odds
    Bookmaker1 · SønderjyskEX2 · Silkeborg
    Betfair Exchange1.121.121.12
    Betsafe2.203.60
    EV+ 12%
    3.05
    Nordicbet2.22
    EV+ 0%
    3.65
    EV+ 12%
    3.05
    Pinnacle2.593.602.68

    Odds updated 18 Oct, 13:36

    Odds movement

    1+1 %
    40 %35 %

    2.57 → 2.59

    X-2 %
    29 %24 %

    3.66 → 3.60

    2+5 %
    39 %34 %

    2.55 → 2.68

    Pinnacle · 11 recorded price levels · 13/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    SønderjyskE 2Draw 0Silkeborg 0
    Goals: 4–1 (⌀ 2,5)

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

    Key facts

    • Silkeborg are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    SønderjyskE
    Silkeborg
    When goals are scored and conceded — 2026
    SønderjyskE (12–24)
    Silkeborg (15–15)
    Pass networks

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

    SønderjyskE
    Maxime Soulas: 228 passningar, xT 0.78SoulasAlexander Munksgaard: 148 passningar, xT 0.78MunksgaardNick Shinton: 114 passningar, xT 0.19ShintonBrynjar Ingi Bjarnason: 108 passningar, xT 0.03BjarnasonRasmus Vinderslev: 105 passningar, xT 0.43VinderslevPachanga Kristensen: 101 passningar, xT 0.2KristensenJacob Steen Christensen: 74 passningar, xT 0.05ChristensenMohamed Cherif Haidara: 69 passningar, xT 0.06HaidaraAndreas Oggesen: 69 passningar, xT 0.09OggesenEbube Duru: 67 passningar, xT 0.21DuruAnders Hoeg: 64 passningar, xT 0.29Hoeg
    Silkeborg
    Robin Østrøm: 332 passningar, xT 0.24ØstrømVillads Westh: 250 passningar, xT 0.43WesthAlexander Madsen: 248 passningar, xT 0.31MadsenMads Larsen: 245 passningar, xT 0.14LarsenWilliam Møller: 179 passningar, xT 0.13MøllerJens Martin Gammelby: 144 passningar, xT -0.07GammelbyRami Al Hajj: 142 passningar, xT 0.33HajjAske Andresen: 111 passningar, xT 0.01AndresenMads Freundlich: 101 passningar, xT 0.17FreundlichOliver Ross: 80 passningar, xT 0.17RossLucas Riisgaard: 79 passningar, xT 0.84Riisgaard
    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.

    SønderjyskE
    Maxime Soulas: 228 passningar, xT 0.78SoulasAlexander Munksgaard: 148 passningar, xT 0.78MunksgaardNick Shinton: 114 passningar, xT 0.19ShintonBrynjar Ingi Bjarnason: 108 passningar, xT 0.03BjarnasonRasmus Vinderslev: 105 passningar, xT 0.43VinderslevPachanga Kristensen: 101 passningar, xT 0.2KristensenJacob Steen Christensen: 74 passningar, xT 0.05ChristensenMohamed Cherif Haidara: 69 passningar, xT 0.06HaidaraAndreas Oggesen: 69 passningar, xT 0.09OggesenEbube Duru: 67 passningar, xT 0.21DuruAnders Hoeg: 64 passningar, xT 0.29Hoeg
    Silkeborg
    Robin Østrøm: 332 passningar, xT 0.24ØstrømVillads Westh: 250 passningar, xT 0.43WesthAlexander Madsen: 248 passningar, xT 0.31MadsenMads Larsen: 245 passningar, xT 0.14LarsenWilliam Møller: 179 passningar, xT 0.13MøllerJens Martin Gammelby: 144 passningar, xT -0.07GammelbyRami Al Hajj: 142 passningar, xT 0.33HajjAske Andresen: 111 passningar, xT 0.01AndresenMads Freundlich: 101 passningar, xT 0.17FreundlichOliver Ross: 80 passningar, xT 0.17RossLucas Riisgaard: 79 passningar, xT 0.84Riisgaard

    The teams in numbers

    PerformanceSønderjyskESilkeborg
    Points511
    xPoints1114.2
    xG per match11.1
    xGA per match1.91.5
    xG within 8s of winning the ball0.190.27
    xGA within 8s of losing the ball0.550.26
    Playing styleSønderjyskESilkeborg
    Build-up efficiency0.310.32
    Field tilt0.360.38
    xT per match0.850.66
    xTA per match1.11.2
    Won balls, offensive half2320
    Pressing intensity0.230.25
    Pressing efficiency0.240.25
    Pressing efficiency, offensive half0.180.19
    Entries into the box per match1011
    Entries into the box against1515
    Pass completion %0.710.8
    Pass completion % under pressure0.670.75
    Passes per match284434
    Passes against per match470445
    Switches of play per match23.719.2
    Long balls per match3325
    Set piecesSønderjyskESilkeborg
    xG from free kicks0.080.04
    Corners per match4.74.4
    Corners against per match5.36.1
    xG per corner0.030.02
    xGA per corner against0.020.03
    First touch, offensive corners %0.380.52
    First touch, defensive corners %0.620.62
    OtherSønderjyskESilkeborg
    Throw-in control0.740.72
    The goalkeepersNicolai Flo (SønderjyskE)Aske Andresen (Silkeborg)
    Saves1231
    Save %67%67%
    xG prevented52%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins SønderjyskE vs Silkeborg according to our model?

    The model gives Silkeborg a 37% win probability. Full 1X2 picture: SønderjyskE 36%, draw 27%, Silkeborg 37%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in SønderjyskE vs Silkeborg?

    The model expects 1.37 goals (xG) for SønderjyskE and 1.35 for Silkeborg, 2.72 in total.

    What does the model say about double chance?

    SønderjyskE or draw (1X) 63%, Silkeborg or draw (X2) 64% and no draw (12) 73%.

    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.