Slovak Super League14°13 km/h

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    Dukla Banska BystricaDukla Banska BystricaLow block & direct
    vs
    SkalicaSkalicaLow block & direct
    The model's lean: 1 · Dukla Banska Bystrica (38%)Soft drawBest value by the model: 2 · Skalica @ 3.02 (+3 %)

    Dukla Banska BystricaSkalica · Slovak Super League

    1 · Dukla Banska Bystrica 38%X 28%34% Skalica · 2

    Analysis: Dukla Banska BystricaSkalica

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

    Dukla Banska Bystrica have yet to notch a victory against Skalica in their four encounters since 2023, drawing once and losing three times. The sample is small, but it does showcase a trend: the hosts struggle to assert themselves against this particular opponent. Despite the head-to-head disadvantage, the model leans slightly toward Dukla, giving them a 38% chance of securing three points, while Skalica's prospects are pegged at 34%.

    The expected goals tell a tale of close margins, with Dukla at 1.26 and Skalica at 1.33. Both sides employ a low-defense, direct approach, hinting at a game where neither will easily outmaneuver the other. Points and expected points slightly favor Skalica, although Dukla's better xG per match does suggest potential for a breakthrough. Most likely scorelines skew towards tight affairs: 1-1 at 13% and 0-1 at 10%.

    Given the numbers, a 1-1 draw emerges as the most probable outcome. The over 2.5 goals probability stands at 48%, but the real value lies in betting the under. At odds of 1.98 with Betsafe, Betsson, and Nordicbet, the under 2.5 market shows a 3% edge according to the model. It's a pragmatic play in a matchup tilted towards cautious tactics.

    Dukla Banska BystricaDukla Banska Bystrica
    Form LLWDL
    League ranking xG #10xGA #12xT #10xP/match #12Points #11
    Key players
    • Nikolas KubalaFxG 0.00 · xT 0.14
    • Lubomir WillweberCBxG 0.12 · xT 0.06
    • Viktor TothRWxG 0.58 · xT -0.04
    SkalicaSkalica
    Form WLLLD
    League ranking xG #12xGA #11xT #12xP/match #11Points #8
    Key players
    • Adam MorongCMxG 0.00 · xT 0.08
    • Erik DanielRWxG 0.14 · xT 0.06
    • Philip Obinna OnyedikaFxG 0.16 · xT 0.05

    Match prediction: Dukla Banska BystricaSkalica

    Predicted score matrix

    Skalica
    Dukla Banska Bystrica
    0
    1
    2
    3
    4+
    0
    0–07.9%
    0–19.6%
    0–26.6%
    0–32.9%
    0–4+1.3%
    1
    1–09.1%
    1–112.9%
    1–28.4%
    1–33.7%
    1–4+1.7%
    2
    2–06.0%
    2–17.9%
    2–25.3%
    2–32.3%
    2–4+1.0%
    3
    3–02.5%
    3–13.3%
    3–22.2%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.0%
    4+–11.4%
    4+–20.9%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-09%
    4. 4.1-28%
    5. 5.2-18%
    Expected goals
    1,261,33
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @1.97EV+3%
    Over 2,548%
    @1.84

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Dukla Banska Bystrica or draw (1X)62%
    • Under 3.5 goals74%

    Combined probability

    46%

    Fair odds

    2.16

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

    02 · 3 legs

    Balanced

    • Double chance Dukla Banska Bystrica or draw (1X)62%
    • Under 2.5 goals52%
    • Róbert Polievka to score29%

    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 goals48%
    • Róbert Polievka to score29%
    • Jakub Považanec to be booked21%

    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 · Skalica34% probability@3.02PinnacleEV+3%reference odds
    • Under 2.552% probability@1.97PinnacleEV+3%reference odds
    • Under 3.574% probability@1.36BetsafeEV+0%reference odds
    Bookmaker1 · Dukla Banska BystricaX2 · Skalica
    Betsafe2.303.252.75
    Betsson2.303.252.75
    Nordicbet2.303.252.75
    Pinnacle2.303.41
    EV+ 3%
    3.02

    Odds updated 11 Sept, 16:31

    Odds movement

    1-3 %
    43 %38 %

    2.362.30

    X+3 %
    30 %25 %

    3.313.41

    2+4 %
    34 %29 %

    2.913.02

    Over 2,50 %
    55 %50 %

    1.851.84

    Pinnacle · 12 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Dukla Banska Bystrica 0Draw 1Skalica 3
    Goals: 27 (⌀ 2,2)

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

    xG & xGA per match — 3-game rolling average

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

    Dukla Banska Bystrica
    Skalica
    When goals are scored and conceded 2026
    Dukla Banska Bystrica (618)
    Skalica (915)
    Pass networks

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

    Dukla Banska Bystrica
    Lubomir Willweber: 174 passningar, xT 0.21WillweberNicolas Sikula: 172 passningar, xT 0.57SikulaAlabi Toheeb Adewale: 133 passningar, xT 0.27AdewaleMikuláš Bakaľa: 126 passningar, xT 0.23BakaľaDavid Richtarech: 122 passningar, xT 0.27RichtarechLukáš Hroššo: 115 passningar, xT 0.16HroššoJakub Povazanec: 88 passningar, xT 0.46PovazanecAdam Baláž: 78 passningar, xT 0.12BalážKazeem Bolaji Soliu: 77 passningar, xT 0.1SoliuAdrian Siviček: 52 passningar, xT 0.05SivičekRóbert Polievka: 51 passningar, xT 0.29Polievka
    Skalica
    Patrick Karhan: 124 passningar, xT 0.24KarhanSamuel Sula: 113 passningar, xT 0.3SulaLevan Nonikashvili: 98 passningar, xT 0.45NonikashviliErik Daniel: 97 passningar, xT 0.56DanielAdam Ravas: 80 passningar, xT 0.06RavasDamian Baris: 75 passningar, xT 0.01BarisPetr Pudhorocky: 68 passningar, xT 0.14PudhorockyLukas Simko: 68 passningar, xT 0.13SimkoRichard Ludha: 57 passningar, xT 0.13LudhaAdam Morong: 53 passningar, xT 0.05MorongMartin Cernek: 47 passningar, xT 0.1Cernek
    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.

    Dukla Banska Bystrica
    Lubomir Willweber: 174 passningar, xT 0.21WillweberNicolas Sikula: 172 passningar, xT 0.57SikulaAlabi Toheeb Adewale: 133 passningar, xT 0.27AdewaleMikuláš Bakaľa: 126 passningar, xT 0.23BakaľaDavid Richtarech: 122 passningar, xT 0.27RichtarechLukáš Hroššo: 115 passningar, xT 0.16HroššoJakub Povazanec: 88 passningar, xT 0.46PovazanecAdam Baláž: 78 passningar, xT 0.12BalážKazeem Bolaji Soliu: 77 passningar, xT 0.1SoliuAdrian Siviček: 52 passningar, xT 0.05SivičekRóbert Polievka: 51 passningar, xT 0.29Polievka
    Skalica
    Patrick Karhan: 124 passningar, xT 0.24KarhanSamuel Sula: 113 passningar, xT 0.3SulaLevan Nonikashvili: 98 passningar, xT 0.45NonikashviliErik Daniel: 97 passningar, xT 0.56DanielAdam Ravas: 80 passningar, xT 0.06RavasDamian Baris: 75 passningar, xT 0.01BarisPetr Pudhorocky: 68 passningar, xT 0.14PudhorockyLukas Simko: 68 passningar, xT 0.13SimkoRichard Ludha: 57 passningar, xT 0.13LudhaAdam Morong: 53 passningar, xT 0.05MorongMartin Cernek: 47 passningar, xT 0.1Cernek

    The teams in numbers

    PerformanceDukla Banska BystricaSkalica
    Points48
    xPoints6.36.9
    xG per match1.10.98
    xGA per match2.52.1
    xG within 8s of winning the ball0.170.29
    xGA within 8s of losing the ball0.50.25
    Playing styleDukla Banska BystricaSkalica
    Build-up efficiency0.310.31
    Field tilt0.360.38
    xT per match0.80.66
    xTA per match1.11.4
    Won balls, offensive half2121
    Pressing intensity0.230.22
    Pressing efficiency0.250.31
    Pressing efficiency, offensive half0.180.25
    Entries into the box per match119
    Entries into the box against1716
    Pass completion %0.720.63
    Pass completion % under pressure0.680.62
    Passes per match274221
    Passes against per match435364
    Switches of play per match21.314.9
    Long balls per match3227
    Set piecesDukla Banska BystricaSkalica
    xG from free kicks0.070.01
    Corners per match5.55.1
    Corners against per match5.55.7
    xG per corner0.030.02
    xGA per corner against0.050.05
    First touch, offensive corners %0.420.47
    First touch, defensive corners %0.350.47
    OtherDukla Banska BystricaSkalica
    Throw-in control0.60.7
    The goalkeepersLukáš Hroššo (Dukla Banska Bystrica)Erik Riska (Skalica)
    Saves1518
    Save %63%78%
    xG prevented38%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Dukla Banska Bystrica vs Skalica according to our model?

    The model gives Dukla Banska Bystrica a 38% win probability. Full 1X2 picture: Dukla Banska Bystrica 38%, draw 28%, Skalica 34%.

    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 48% and under at 52%.

    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.