Danish SuperligaParken, København16°0,3 mm16 km/h

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    FC KøbenhavnFC KøbenhavnPossession & high press
    vs
    HorsensHorsensLow block & direct
    The model's lean: 1 · FC København (80%)

    FC KøbenhavnHorsens · Danish Superliga

    1 · FC København 80%X 12%7% Horsens · 2

    Analysis: FC KøbenhavnHorsens

    Sofia Andersson · · The model's read on the match · How the predictions work

    FAKTA vs TEXT comparison reveals errors:

    1. The text states 2-0 has "around a 9% likelihood," but the facts list 2-0 at 11% (only 2-1 and 3-0 are at 9%). 2. The text names "Parken Stadium," which is not supported by the given facts. 3. The text cites betting odds "1.80 with Bet365," which is not supported by the given facts.

    Corrected text:

    An 80% win probability for FC Copenhagen sets the tone for this matchup against Horsens. With the hosts riding a three-game winning streak and deploying a possession and high press style, they'll likely dominate the proceedings. Their expected goals of 2.53 to Horsens' 0.87 underscores the gap in attacking firepower and defensive solidity. Statistically, the hosts win 57% of their home games, a testament to their fortress-like home presence.

    The probable scorelines paint a picture of a controlled victory for the home side—2-0 emerges as the most likely outcome at 11%, with 2-1 and 3-0 close behind at 9% each. Horsens, embracing a low block and direct approach, will aim to frustrate with stout defense and sporadic counters. Yet, with FC Copenhagen's incisive play and Horsens' 2.0 expected goals against per match, it's hard to envision the visitors holding the line effectively.

    Despite a modest sample size in head-to-head results, form leans heavily towards the hosts. Their expected goals per match at 1.7 eclipses the visitors' 1.1, while a superior xGA of 1.3 further cements their defensive edge. The numbers suggest a high-scoring affair with a 66% chance of over 2.5 goals, though both teams to score hovers only slightly above half at 54%, hinting at Horsens’ struggles to penetrate.

    The sharpest angle here is the over 2.5 goals market, aligning strongly with FC Copenhagen's attacking prowess and Horsens' defensive vulnerabilities. Given the model's 66% lean towards a goal-heavy encounter, backing over 2.5 goals offers a compelling value proposition.

    FC KøbenhavnFC København
    Form WLWWW
    League ranking xG #3xGA #5xT #9xP/match #4Points #1
    Key players
    • Mohamed ElyounoussiRWxG 0.48 · xT 0.09
    • Robert SilvaLWxG 0.26 · xT 0.08
    • Asger Strømgaard SørensenCBxG 0.24 · xT 0.06
    HorsensHorsens
    Form LWWLW
    League ranking xG #9xGA #12xT #12xP/match #11Points #6
    Key players
    • Kelvin Osemudiamen EhibhatiomhanFxG 0.45 · xT 0.03
    • Yamirou OuorouRWxG 0.26 · xT 0.16
    • Adrian JustinussenLWxG 0.27 · xT -0.01

    Match prediction: FC KøbenhavnHorsens

    Predicted score matrix

    Horsens
    FC København
    0
    1
    2
    3
    4+
    0
    0–03.6%
    0–12.7%
    0–21.3%
    0–30.4%
    0–4+0.1%
    1
    1–08.2%
    1–17.6%
    1–23.2%
    1–30.9%
    1–4+0.2%
    2
    2–010.7%
    2–19.3%
    2–24.0%
    2–31.2%
    2–4+0.3%
    3
    3–09.0%
    3–17.8%
    3–23.4%
    3–31.0%
    3–4+0.3%
    4+
    4+–010.4%
    4+–19.1%
    4+–23.9%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.2-19%
    3. 3.3-09%
    4. 4.1-08%
    5. 5.3-18%
    Expected goals
    2,530,87
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    Over 2,566%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • FC København to win80%
    • Over 1.5 goals86%

    Combined probability

    65%

    Fair odds

    1.54

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

    02 · 3 legs

    Balanced

    • FC København to win80%
    • Over 2.5 goals66%
    • Andreas Evald Cornelius to score32%

    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 score54%
    • Over 2.5 goals66%
    • Andreas Evald Cornelius to score32%
    • Abdul Salam Moro 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 · FC København80% probability@1.33PinnacleEV+7%reference odds
    Bookmaker1 · FC KøbenhavnX2 · Horsens
    Pinnacle
    EV+ 7%
    1.33
    5.678.86

    Odds updated 11 Sept, 10:21

    Odds movement

    1+6 %
    77 %72 %

    1.251.33

    X-7 %
    18 %13 %

    6.095.67

    2-9 %
    12 %7 %

    9.758.86

    Pinnacle · 13 recorded price levels · 09/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • FC Copenhagen come into this round on 3 straight wins.
    • FC Copenhagen win 57% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    FC København
    Horsens
    When goals are scored and conceded 2026
    FC København (208)
    Horsens (1312)
    Pass networks

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

    FC København
    Felix Olof Allan Nelson Beijmo: 267 passningar, xT 0.32BeijmoAsger Strømgaard Sørensen: 214 passningar, xT 0.21SørensenGabriel Pereira: 180 passningar, xT 0.32PereiraThomas Delaney: 161 passningar, xT 0.08DelaneyWilliam Clem: 136 passningar, xT 0.16ClemJunnosuke Suzuki: 113 passningar, xT 0.26SuzukiMarcos Lopez: 104 passningar, xT 0.19LopezMohamed Elyounoussi: 101 passningar, xT 0.15ElyounoussiDiant Ramaj: 100 passningar, xT 0.14RamajAlex Král: 98 passningar, xT 0.23KrálMads Emil Madsen: 84 passningar, xT 0.28Madsen
    Horsens
    Ole Martin Kolskogen: 255 passningar, xT 0.18KolskogenAlagie Saine: 245 passningar, xT 0.64SaineMikkel Kupijbida: 217 passningar, xT 0.23KupijbidaKarlo Lusavec: 207 passningar, xT 0.08LusavecGuðlaugur Victor Pálsson: 198 passningar, xT 0.32PálssonAbdul Moro: 192 passningar, xT 0.16MoroMatej Delac: 134 passningar, xT 0.16DelacJulius Madsen: 132 passningar, xT 0.41MadsenAdam Herdonsson: 93 passningar, xT 0HerdonssonJimi Weikko Tauriainen: 50 passningar, xT 0.11TauriainenYamirou Ouorou: 48 passningar, xT 0.36Ouorou
    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.

    FC København
    Felix Olof Allan Nelson Beijmo: 267 passningar, xT 0.32BeijmoAsger Strømgaard Sørensen: 214 passningar, xT 0.21SørensenGabriel Pereira: 180 passningar, xT 0.32PereiraThomas Delaney: 161 passningar, xT 0.08DelaneyWilliam Clem: 136 passningar, xT 0.16ClemJunnosuke Suzuki: 113 passningar, xT 0.26SuzukiMarcos Lopez: 104 passningar, xT 0.19LopezMohamed Elyounoussi: 101 passningar, xT 0.15ElyounoussiDiant Ramaj: 100 passningar, xT 0.14RamajAlex Král: 98 passningar, xT 0.23KrálMads Emil Madsen: 84 passningar, xT 0.28Madsen
    Horsens
    Ole Martin Kolskogen: 255 passningar, xT 0.18KolskogenAlagie Saine: 245 passningar, xT 0.64SaineMikkel Kupijbida: 217 passningar, xT 0.23KupijbidaKarlo Lusavec: 207 passningar, xT 0.08LusavecGuðlaugur Victor Pálsson: 198 passningar, xT 0.32PálssonAbdul Moro: 192 passningar, xT 0.16MoroMatej Delac: 134 passningar, xT 0.16DelacJulius Madsen: 132 passningar, xT 0.41MadsenAdam Herdonsson: 93 passningar, xT 0HerdonssonJimi Weikko Tauriainen: 50 passningar, xT 0.11TauriainenYamirou Ouorou: 48 passningar, xT 0.36Ouorou

    The teams in numbers

    PerformanceFC KøbenhavnHorsens
    Points1810
    xPoints11.47.6
    xG per match1.71.1
    xGA per match1.32
    xG within 8s of winning the ball0.350.28
    xGA within 8s of losing the ball0.360.27
    Playing styleFC KøbenhavnHorsens
    Build-up efficiency0.320.32
    Field tilt0.510.33
    xT per match0.80.56
    xTA per match0.961.6
    Won balls, offensive half2721
    Pressing intensity0.230.25
    Pressing efficiency0.260.27
    Pressing efficiency, offensive half0.230.22
    Entries into the box per match118
    Entries into the box against1118
    Pass completion %0.790.77
    Pass completion % under pressure0.740.71
    Passes per match415342
    Passes against per match412417
    Switches of play per match30.118.9
    Long balls per match3326
    Set piecesFC KøbenhavnHorsens
    xG from free kicks0.010.08
    Corners per match4.32.7
    Corners against per match47.2
    xG per corner0.050.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.470.42
    First touch, defensive corners %0.570.67
    OtherFC KøbenhavnHorsens
    Throw-in control0.740.74
    The goalkeepersDiant Ramaj (FC København)Matej Delac (Horsens)
    Saves824
    Save %89%71%
    xG prevented88%59%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins FC København vs Horsens according to our model?

    The model gives FC København a 80% win probability. Full 1X2 picture: FC København 80%, draw 12%, Horsens 7%.

    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 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.