Danish SuperligaSydbank Park, Haderslev15°22 km/h

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    SønderjyskESønderjyskELow block & direct
    vs
    HorsensHorsensLow block & direct
    The model's lean: 1 · SønderjyskE (48%)Best value by the model: Under 2,5 @ 1.96 (+13 %)

    SønderjyskEHorsens · Danish Superliga

    1 · SønderjyskE 48%X 27%25% Horsens · 2

    Analysis: SønderjyskEHorsens

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

    TEXT: Sønderjyske’s recent struggles, losing three consecutive matches, cast a long shadow over their clash with Horsens. Despite this slide, the model still tilts slightly towards the hosts, assigning them a 48% chance of securing a victory. This is intriguing given that Horsens have gathered seven points in the same span, showing a clear edge in terms of recent results.

    The tactical setup of both teams revolves around low defensive lines and direct play. This style often leads to tight and cautious encounters, reflected in the expected goals: Sønderjyske at 1.37 and Horsens at 1.00. Both teams seem to struggle in generating high-quality chances, with Horsens marginally ahead in xG per match at 0.86 compared to Sønderjyske’s 0.85. However, the hosts boast a slightly better defensive record, with 1.8 xGA against the visitors' 2.2. This defensive frailty from Horsens, coupled with the expected close nature of the match, hints at a low-scoring affair.

    The most likely scorelines reflect the narrow margins at play: 1-1 has a 13% probability, while 1-0 is close behind at 12%. The over 2.5 goals market sits at 42%, indicating a lean towards a match with fewer goals. With a probability of only 48% for both teams to score, defenses may hold the upper hand.

    Interestingly, there's notable value in betting on a goalless draw. The odds for under 0.5 goals are offered at 13.0 by Betsafe, Betsson, and Nordicbet, with a model-rated probability of 10%, presenting a juicy 26% edge. While a 0-0 result is always a long shot, these odds are tantalizingly high given the data and tactical tendencies of both sides. A cautious approach and recent form suggest a tight contest, with a 1-1 result appearing to be the most plausible outcome, but the true betting gem lies in the possibility of a stalemate.

    SønderjyskESønderjyskE
    Form LDLLL
    League ranking xG #11xGA #11xT #8xP/match #11Points #12
    Key players
    • Ismaïl SeydiFxG 0.12 · xT 0.14
    • Sidi Mohamed Cherif HaidaraCAMxG 0.22 · xT -0.03
    • Alexander Munksgaard NielsenRWxG 0.09 · xT 0.09
    HorsensHorsens
    Form LLWWL
    League ranking xG #10xGA #12xT #12xP/match #12Points #6
    Key players
    • Kelvin Osemudiamen EhibhatiomhanFxG 0.41 · xT 0.02
    • Yamirou OuorouRWxG 0.09 · xT 0.21
    • Adrian JustinussenLWxG 0.26 · xT -0.01

    Match prediction: SønderjyskEHorsens

    Predicted score matrix

    Horsens
    SønderjyskE
    0
    1
    2
    3
    4+
    0
    0–09.7%
    0–19.0%
    0–24.7%
    0–31.6%
    0–4+0.5%
    1
    1–012.4%
    1–113.2%
    1–26.4%
    1–32.2%
    1–4+0.7%
    2
    2–08.7%
    2–18.8%
    2–24.4%
    2–31.5%
    2–4+0.5%
    3
    3–04.0%
    3–14.0%
    3–22.0%
    3–30.7%
    3–4+0.2%
    4+
    4+–01.8%
    4+–11.8%
    4+–20.9%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-012%
    3. 3.0-010%
    4. 4.0-19%
    5. 5.2-19%
    Expected goals
    1,371,00
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,4
    Under 2,558%
    @1.96EV+10%
    Over 2,542%
    @1.85

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • SønderjyskE to win48%
    • Under 3.5 goals78%

    Combined probability

    34%

    Fair odds

    2.95

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

    02 · 3 legs

    Balanced

    • SønderjyskE to win48%
    • Under 2.5 goals58%
    • Sidi Mohamed Cherif Haidara to score24%

    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 score48%
    • Over 2.5 goals42%
    • Sidi Mohamed Cherif Haidara to score24%
    • Sefer Emini 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+).

    • Under 2.558% probability@1.96PinnacleEV+13%reference odds
    • Under 1.531% probability@3.55BetsafeEV+10%reference odds
    • Under 1.531% probability@3.55BetssonEV+10%reference odds
    Bookmaker1 · SønderjyskEX2 · Horsens
    Betfair Exchange1.101.101.10
    Betsafe
    EV+ 5%
    2.22
    3.353.20
    Betsson
    EV+ 5%
    2.22
    3.403.20
    Nordicbet
    EV+ 5%
    2.22
    3.403.20
    Pinnacle
    EV+ 7%
    2.25
    3.393.18

    Odds updated 4 Sept, 12:38

    Odds movement

    1+5 %
    46 %41 %

    2.152.25

    X-1 %
    30 %25 %

    3.413.39

    2-6 %
    31 %26 %

    3.393.18

    Over 2,50 %
    54 %49 %

    1.861.85

    Pinnacle · 5 recorded price levels · 01/09/2026 → 04/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Sonderjyske have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    SønderjyskE
    Horsens
    When goals are scored and conceded 2026
    SønderjyskE (513)
    Horsens (810)
    Pass networks

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

    SønderjyskE
    Maxime Soulas: 183 passningar, xT 0.59SoulasDaniel Leo Gretarsson: 144 passningar, xT 0.62GretarssonEbube Duru: 118 passningar, xT 0.26DuruJacob Steen Vestergaard Christensen: 103 passningar, xT 0.03ChristensenSefer Emini: 103 passningar, xT 0.61EminiSidi Mohamed Cherif Haidara: 87 passningar, xT -0.11HaidaraBrynjar Ingi Bjarnason: 87 passningar, xT 0.13BjarnasonMarcus Bundgaard: 72 passningar, xT 0.1BundgaardNicolai Flo: 59 passningar, xT 0.04FloMagnus Jensen: 51 passningar, xT 0.06JensenGustav Drest Wagner: 50 passningar, xT 0.14Wagner
    Horsens
    Ole Martin Kolskogen: 226 passningar, xT 0.08KolskogenAlagie Saine: 192 passningar, xT 0.44SaineMikkel Kupijbida: 170 passningar, xT 0.21KupijbidaGuðlaugur Victor Pálsson: 166 passningar, xT 0.08PálssonAbdul Moro: 157 passningar, xT 0.12MoroKarlo Lusavec: 154 passningar, xT 0.04LusavecMatej Delac: 132 passningar, xT 0.19DelacJulius Madsen: 120 passningar, xT 0.29MadsenAdam Herdonsson: 115 passningar, xT 0.02HerdonssonAdrian Justinussen: 51 passningar, xT -0.02JustinussenKristian Kirkegaard: 44 passningar, xT 0.2Kirkegaard
    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: 183 passningar, xT 0.59SoulasDaniel Leo Gretarsson: 144 passningar, xT 0.62GretarssonEbube Duru: 118 passningar, xT 0.26DuruJacob Steen Vestergaard Christensen: 103 passningar, xT 0.03ChristensenSefer Emini: 103 passningar, xT 0.61EminiSidi Mohamed Cherif Haidara: 87 passningar, xT -0.11HaidaraBrynjar Ingi Bjarnason: 87 passningar, xT 0.13BjarnasonMarcus Bundgaard: 72 passningar, xT 0.1BundgaardNicolai Flo: 59 passningar, xT 0.04FloMagnus Jensen: 51 passningar, xT 0.06JensenGustav Drest Wagner: 50 passningar, xT 0.14Wagner
    Horsens
    Ole Martin Kolskogen: 226 passningar, xT 0.08KolskogenAlagie Saine: 192 passningar, xT 0.44SaineMikkel Kupijbida: 170 passningar, xT 0.21KupijbidaGuðlaugur Victor Pálsson: 166 passningar, xT 0.08PálssonAbdul Moro: 157 passningar, xT 0.12MoroKarlo Lusavec: 154 passningar, xT 0.04LusavecMatej Delac: 132 passningar, xT 0.19DelacJulius Madsen: 120 passningar, xT 0.29MadsenAdam Herdonsson: 115 passningar, xT 0.02HerdonssonAdrian Justinussen: 51 passningar, xT -0.02JustinussenKristian Kirkegaard: 44 passningar, xT 0.2Kirkegaard

    The teams in numbers

    PerformanceSønderjyskEHorsens
    Points17
    xPoints6.55.4
    xG per match0.850.86
    xGA per match1.82.2
    xG within 8s of winning the ball0.130.13
    xGA within 8s of losing the ball0.580.31
    Playing styleSønderjyskEHorsens
    Build-up efficiency0.310.32
    Field tilt0.330.3
    xT per match0.880.5
    xTA per match1.21.6
    Won balls, offensive half2320
    Pressing intensity0.230.25
    Pressing efficiency0.230.26
    Pressing efficiency, offensive half0.160.21
    Entries into the box per match118
    Entries into the box against1719
    Pass completion %0.70.75
    Pass completion % under pressure0.650.7
    Passes per match276318
    Passes against per match485442
    Switches of play per match23.118.4
    Long balls per match3427
    Set piecesSønderjyskEHorsens
    xG from free kicks0.10.08
    Corners per match4.63
    Corners against per match6.48.2
    xG per corner0.020.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.360.44
    First touch, defensive corners %0.640.66
    OtherSønderjyskEHorsens
    Throw-in control0.790.75
    The goalkeepersNicolai Flo (SønderjyskE)Matej Delac (Horsens)
    Saves1122
    Save %65%73%
    xG prevented53%60%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins SønderjyskE vs Horsens according to our model?

    The model gives SønderjyskE a 48% win probability. Full 1X2 picture: SønderjyskE 48%, draw 27%, Horsens 25%.

    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 42% and under at 58%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.