Slovak Super League22°12 km/h

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    SkalicaSkalicaLow block & direct
    16
    DACDACPossession control
    The model's lean: 2 · DAC (44%)Best value by the model: 1 · Skalica @ 4.55 (+22 %)

    SkalicaDAC · Slovak Super League

    1 · Skalica 27%X 29%44% DAC · 2

    Analysis: SkalicaDAC

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

    Skalica's struggle against DAC continues to be a recurring theme, with the visitors holding a dominant position in their recent meetings. Since 2023, DAC has bested Skalica in three of their four encounters, highlighting a clear head-to-head advantage in this small sample. Combined with DAC's current three-match winning streak and a model probability favoring them at 44%, they are rightly seen as the front-runners in this matchup.

    Skalica's playing style leans heavily on a low defensive block and direct counter-attacks, but they face an uphill battle against DAC's possession-oriented approach. The visitors not only maintain greater control but also generate significantly higher xG per match at 2.0 compared to the home side's 1.1. This suggests that DAC's offensive capabilities might be too much for Skalica's defense, which concedes an average of 2.1 expected goals per game.

    The most likely scorelines, with 1-1 and 0-1 topping the list at 12% and 11% respectively, reflect a tight contest but with a slight edge to DAC. The expected goals figures support a prediction of a low-scoring affair, pushing the over/under 2.5 goals line nearly to an even split at 49%. However, the 53% probability for both teams to score indicates that Skalica might still find the back of the net once, despite their limitations.

    In terms of value, the real gem lies in the odds for a home win. While Skalica is the underdog, the odds of 4.1 offered by Betsafe, Betsson, and Nordicbet present a 10% edge against the model's assessment. For bettors, this creates an intriguing risk-reward scenario, particularly when considering a small stake on a potential upset. However, given the statistical trends and current form, DAC securing a narrow victory seems the more plausible outcome.

    SkalicaSkalica
    Form DWWLL
    League ranking xG #11xGA #10xT #11xP/match #9Points #6
    Key players
    • Philip Obinna OnyedikaFxG 0.49 · xT 0.08
    • Erik DanielRWxG 0.19 · xT 0.21
    • Levan NonikashviliCAMxG 0.20 · xT 0.07
    DACDAC
    Form WDWWW
    League ranking xG #4xGA #3xT #2xP/match #4Points #3
    Key players
    • Giorgi GaguaFxG 0.13 · xT 0.21
    • Samsondin OuroFxG 0.36 · xT 0.29
    • Ammar RamadanLWxG 0.37 · xT 0.25
    Final score
    16
    The model called the outcome
    Predicted probabilities: Skalica 27% · Draw 29% · DAC 44%

    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 - MFK SkalicaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 14,60fair 15,91-8 %
    Miss
    Matchresultat - DAC Dunajská StredaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,36fair 8,36-36 %
    Hit

    Match prediction: SkalicaDAC

    Predicted score matrix

    DAC
    Skalica
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–110.5%
    0–28.4%
    0–34.3%
    0–4+2.3%
    1
    1–07.5%
    1–112.4%
    1–29.3%
    1–34.8%
    1–4+2.6%
    2
    2–04.4%
    2–16.7%
    2–25.2%
    2–32.6%
    2–4+1.4%
    3
    3–01.6%
    3–12.5%
    3–21.9%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.6%
    4+–10.9%
    4+–20.7%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-111%
    3. 3.1-29%
    4. 4.0-28%
    5. 5.1-07%
    Expected goals
    1,111,54
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @2.02EV+2%
    Over 2,549%
    @1.79

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance DAC or draw (X2)73%
    • Under 3.5 goals73%

    Combined probability

    52%

    Fair odds

    1.91

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

    02 · 3 legs

    Balanced

    • Double chance DAC or draw (X2)73%
    • Under 2.5 goals51%
    • Ammar Manaf Ramadan to score36%

    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 score53%
    • Over 2.5 goals49%
    • Ammar Manaf Ramadan to score36%
    • Julien Eymard Bationo 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+).

    • 1 · Skalica27% probability@4.55PinnacleEV+22%reference odds
    • 1 · Skalica27% probability@4.50BetsafeEV+21%reference odds
    • 1 · Skalica27% probability@4.50BetssonEV+21%reference odds
    Bookmaker1 · SkalicaX2 · DAC
    Betsafe
    EV+ 21%
    4.50
    EV+ 5%
    3.60
    1.65
    Betsson
    EV+ 21%
    4.50
    EV+ 5%
    3.60
    1.65
    Nordicbet
    EV+ 21%
    4.50
    EV+ 5%
    3.60
    1.65
    Pinnacle
    EV+ 22%
    4.55
    EV+ 11%
    3.81
    1.74

    Odds updated 30 Aug, 09:35

    Odds movement

    1+10 %
    24 %19 %

    4.124.55

    X+6 %
    28 %23 %

    3.593.81

    2-2 %
    56 %51 %

    1.771.74

    Over 2,5-3 %
    54 %49 %

    1.851.79

    Pinnacle · 11 recorded price levels · 23/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Skalica 0Draw 1DAC 3
    Goals: 510 (⌀ 3,8)

    Head-to-head based on Slovak Super League data since 2023.

    Key facts

    • DAC come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Skalica
    DAC
    When goals are scored and conceded 2026
    Skalica (89)
    DAC (111)
    Pass networks

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

    Skalica
    Patrick Karhan: 130 passningar, xT 0.26KarhanSamuel Sula: 117 passningar, xT 0.25SulaErik Daniel: 96 passningar, xT 0.89DanielDamian Baris: 87 passningar, xT 0.11BarisAdam Ravas: 77 passningar, xT 0.05RavasLevan Nonikashvili: 70 passningar, xT 0.25NonikashviliPetr Pudhorocky: 70 passningar, xT 0.28PudhorockyAdam Morong: 70 passningar, xT 0.12MorongLukas Simko: 65 passningar, xT 0.46SimkoPeter Abraham Sandy Guinari: 58 passningar, xT -0.06GuinariPhilip Obinna Onyedika: 58 passningar, xT 0.14Onyedika
    DAC
    Klemen Nemanic: 255 passningar, xT 0.35NemanicZan Trontelj: 133 passningar, xT 0.29TronteljFallou Diongue: 133 passningar, xT -0.01DiongueLeandro Filipe de Almeida Dornelles: 126 passningar, xT 0.16DornellesFilip Blažek: 125 passningar, xT 0.23BlažekTaras Kacharaba: 110 passningar, xT 0.25KacharabaSimen Kristiansen Juklerød: 97 passningar, xT 1.03JuklerødAmmar Ramadan: 87 passningar, xT 0.79RamadanGiorgi Gagua: 72 passningar, xT 0.54GaguaJulien Eymard Bationo: 66 passningar, xT 0.04BationoSamsondin Ouro: 47 passningar, xT 0.44Ouro
    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.

    Skalica
    Patrick Karhan: 130 passningar, xT 0.26KarhanSamuel Sula: 117 passningar, xT 0.25SulaErik Daniel: 96 passningar, xT 0.89DanielDamian Baris: 87 passningar, xT 0.11BarisAdam Ravas: 77 passningar, xT 0.05RavasLevan Nonikashvili: 70 passningar, xT 0.25NonikashviliPetr Pudhorocky: 70 passningar, xT 0.28PudhorockyAdam Morong: 70 passningar, xT 0.12MorongLukas Simko: 65 passningar, xT 0.46SimkoPeter Abraham Sandy Guinari: 58 passningar, xT -0.06GuinariPhilip Obinna Onyedika: 58 passningar, xT 0.14Onyedika
    DAC
    Klemen Nemanic: 255 passningar, xT 0.35NemanicZan Trontelj: 133 passningar, xT 0.29TronteljFallou Diongue: 133 passningar, xT -0.01DiongueLeandro Filipe de Almeida Dornelles: 126 passningar, xT 0.16DornellesFilip Blažek: 125 passningar, xT 0.23BlažekTaras Kacharaba: 110 passningar, xT 0.25KacharabaSimen Kristiansen Juklerød: 97 passningar, xT 1.03JuklerødAmmar Ramadan: 87 passningar, xT 0.79RamadanGiorgi Gagua: 72 passningar, xT 0.54GaguaJulien Eymard Bationo: 66 passningar, xT 0.04BationoSamsondin Ouro: 47 passningar, xT 0.44Ouro

    The teams in numbers

    PerformanceSkalicaDAC
    Points710
    xPoints5.46.4
    xG per match1.12
    xGA per match2.11.1
    xG within 8s of winning the ball0.370.41
    xGA within 8s of losing the ball0.270.17
    Playing styleSkalicaDAC
    Build-up efficiency0.310.32
    Field tilt0.380.58
    xT per match0.731.3
    xTA per match1.20.72
    Won balls, offensive half1925
    Pressing intensity0.220.22
    Pressing efficiency0.330.34
    Pressing efficiency, offensive half0.270.27
    Entries into the box per match1016
    Entries into the box against1714
    Pass completion %0.630.8
    Pass completion % under pressure0.620.76
    Passes per match221389
    Passes against per match337240
    Switches of play per match15.647.7
    Long balls per match2653
    Set piecesSkalicaDAC
    xG from free kicks0.020.02
    Corners per match5.36.5
    Corners against per match6.36.2
    xG per corner0.020.04
    xGA per corner against0.050.03
    First touch, offensive corners %0.520.58
    First touch, defensive corners %0.470.56
    OtherSkalicaDAC
    Throw-in control0.690.73
    The goalkeepersErik Riska (Skalica)Leandro Filipe de Almeida Dornelles (DAC)
    Saves1810
    Save %78%91%
    xG prevented51%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Skalica vs DAC according to our model?

    The model gives DAC a 44% win probability. Full 1X2 picture: Skalica 27%, draw 29%, DAC 44%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.