Slovak Super LeagueŠtadión pod Dubňom, Žilina19°2,8 mm17 km/h

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    ŽilinaŽilinaCounter-attacks & crosses
    31
    PodbrezováPodbrezováLow block & direct
    The model's lean: 1 · Žilina (52%)Best value by the model: 2 · Podbrezová @ 4.39 (+12 %)

    ŽilinaPodbrezová · Slovak Super League

    1 · Žilina 52%X 23%25% Podbrezová · 2

    Analysis: ŽilinaPodbrezová

    Anna Karlsson · · A data-driven preview · How the predictions work

    FAKTA and TEXT comparison reveals one factual error:

    Podbrezová earned 10 points against an xPoints of 9.4 (10 > 9.4), which means they **overachieved** slightly, not underachieved. The text has this backwards.

    Corrected text:

    The head-to-head record between Žilina and Podbrezová shows a balanced history with two wins each and four draws in eight encounters since 2023. While this small sample might suggest an evenly matched rivalry, the current form leans heavily in favor of the hosts. Žilina is riding high on a streak of three consecutive victories, contrasting with Podbrezová's more mixed recent results. This momentum could play a crucial role in the clash, tipping the scales towards the hosts' favor.

    Turning to the numbers, Žilina's expected goals of 2.15 to Podbrezová's 1.56 highlights a likely edge in attacking prowess. The game is projected to be an open affair with plenty of goal-scoring opportunities, as confirmed by the 72% probability of over 2.5 goals and a 70% chance of both teams finding the net. Žilina's strength in counter-attacks and crosses will test Podbrezová's defensive setup, which tends to favor a low block and direct play. While Žilina may have the statistical upper hand, Podbrezová's playing style could disrupt the hosts' rhythm if executed effectively.

    Despite Žilina's superior recent form, the expected points and xG metrics present a more nuanced picture. Žilina has outperformed their expected stats, securing 13 points against an xPoints of 7.7, whereas Podbrezová has slightly overachieved with 10 points from an xPoints of 9.4. This suggests that while Žilina has been clinical, Podbrezová might not be as far behind as the table suggests. The most likely scoreline, a 2-1 win for Žilina, reflects this delicate balance—favoring the hosts but acknowledging the visitors' potential threat.

    From a betting perspective, the over 2.5 goals market offers value with no edge at odds of 1.4 on Betsafe, Betsson, and Nordicbet. Given the attacking profiles and the model's 72% estimation, this appears a solid angle for those looking to engage with the match's betting opportunities.

    ŽilinaŽilina
    Form WLWWW
    League ranking xG #5xGA #6xT #3xP/match #8Points #3
    Key players
    • Daniel Homet RuizFxG 0.68 · xT 0.03
    • Michal FaskoFxG 0.12 · xT 0.20
    • Aleksandre NarimanidzeCBxG 0.04 · xT 0.03
    PodbrezováPodbrezová
    Form LWWLD
    League ranking xG #4xGA #7xT #4xP/match #4Points #5
    Key players
    • Peter KováčikRWxG 0.46 · xT 0.29
    • Karlo MiljanicRWxG 0.29 · xT 0.12
    • Vincent ChylaCMxG 0.09 · xT 0.15
    Final score
    31
    The model called the outcome
    Predicted probabilities: Žilina 52% · Draw 23% · Podbrezová 25%

    Match prediction: ŽilinaPodbrezová

    Predicted score matrix

    Podbrezová
    Žilina
    0
    1
    2
    3
    4+
    0
    0–02.7%
    0–13.6%
    0–23.0%
    0–31.6%
    0–4+0.9%
    1
    1–05.0%
    1–18.5%
    1–26.4%
    1–33.3%
    1–4+1.8%
    2
    2–05.6%
    2–18.8%
    2–26.9%
    2–33.6%
    2–4+2.0%
    3
    3–04.0%
    3–16.3%
    3–24.9%
    3–32.6%
    3–4+1.4%
    4+
    4+–03.6%
    4+–15.6%
    4+–24.4%
    4+–32.3%
    4+–4+1.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-19%
    2. 2.1-18%
    3. 3.2-27%
    4. 4.1-26%
    5. 5.3-16%
    Expected goals
    2,151,56
    Both teams to score
    70%

    Over/under goals

    Expected goals: 3,7
    Under 2,528%
    @2.82
    Over 2,572%
    @1.38

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Žilina to win52%
    • Over 1.5 goals89%

    Combined probability

    46%

    Fair odds

    2.20

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

    02 · 3 legs

    Balanced

    • Žilina to win52%
    • Over 2.5 goals72%
    • František Kóša to score25%

    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 score70%
    • Over 2.5 goals72%
    • František Kóša to score25%
    • Vincent Chyla 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+).

    • 2 · Podbrezová25% probability@4.39PinnacleEV+12%reference odds
    Bookmaker1 · ŽilinaX2 · Podbrezová
    Betsafe1.883.503.50
    Betsson1.883.503.50
    Nordicbet1.883.503.50
    Pinnacle1.863.43
    EV+ 12%
    4.39

    Odds updated 5 Sept, 10:31

    Odds movement

    Market signal

    The market has moved clearly towards a Žilina win since 31 August — the odds have shortened from 1.95 to 1.86 (−5%).

    1-5 %
    53 %48 %

    1.951.86

    X+4 %
    30 %25 %

    3.303.43

    2+13 %
    25 %20 %

    3.884.39

    Pinnacle · 13 recorded price levels · 31/08/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Žilina 2Draw 4Podbrezová 2
    Goals: 118 (⌀ 2,4)

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

    Key facts

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

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

    Žilina
    Podbrezová
    When goals are scored and conceded 2026
    Žilina (1512)
    Podbrezová (1012)
    Pass networks

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

    Žilina
    Aleksandre Narimanidze: 264 passningar, xT 0.16NarimanidzeTobias Paliscak: 234 passningar, xT 0.53PaliscakFabian Bzdyl: 215 passningar, xT 0.29BzdylJan Minarik: 188 passningar, xT 0.4MinarikMiroslav Kacer: 164 passningar, xT 0.28KacerKristian Bari: 147 passningar, xT 1.19BariDavid Sipos: 115 passningar, xT 0.17SiposTimotej Hranica: 76 passningar, xT 0.32HranicaFrantisek Kosa: 75 passningar, xT 0.79KosaMarek Okál: 70 passningar, xT 0.17OkálPatrik Ilko: 66 passningar, xT 0.26Ilko
    Podbrezová
    Jakub Luka: 248 passningar, xT 0.44LukaRene Rantusa Lampreht: 207 passningar, xT 0.27LamprehtVincent Chyla: 123 passningar, xT 0.67ChylaPeter Kováčik: 123 passningar, xT 1.19KováčikFilip Mielke: 111 passningar, xT 0.11MielkeRene Paraj: 100 passningar, xT 0.38ParajOndrej Deml: 94 passningar, xT 0.56DemlMartin Chrien: 82 passningar, xT 0.1ChrienLukáš Domaniský: 66 passningar, xT 0.05DomaniskýRadek Kejval: 65 passningar, xT 0.13KejvalLuka Silagadze: 52 passningar, xT 0.2Silagadze
    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.

    Žilina
    Aleksandre Narimanidze: 264 passningar, xT 0.16NarimanidzeTobias Paliscak: 234 passningar, xT 0.53PaliscakFabian Bzdyl: 215 passningar, xT 0.29BzdylJan Minarik: 188 passningar, xT 0.4MinarikMiroslav Kacer: 164 passningar, xT 0.28KacerKristian Bari: 147 passningar, xT 1.19BariDavid Sipos: 115 passningar, xT 0.17SiposTimotej Hranica: 76 passningar, xT 0.32HranicaFrantisek Kosa: 75 passningar, xT 0.79KosaMarek Okál: 70 passningar, xT 0.17OkálPatrik Ilko: 66 passningar, xT 0.26Ilko
    Podbrezová
    Jakub Luka: 248 passningar, xT 0.44LukaRene Rantusa Lampreht: 207 passningar, xT 0.27LamprehtVincent Chyla: 123 passningar, xT 0.67ChylaPeter Kováčik: 123 passningar, xT 1.19KováčikFilip Mielke: 111 passningar, xT 0.11MielkeRene Paraj: 100 passningar, xT 0.38ParajOndrej Deml: 94 passningar, xT 0.56DemlMartin Chrien: 82 passningar, xT 0.1ChrienLukáš Domaniský: 66 passningar, xT 0.05DomaniskýRadek Kejval: 65 passningar, xT 0.13KejvalLuka Silagadze: 52 passningar, xT 0.2Silagadze

    The teams in numbers

    PerformanceŽilinaPodbrezová
    Points1310
    xPoints7.79.4
    xG per match1.72
    xGA per match1.51.7
    xG within 8s of winning the ball0.430.36
    xGA within 8s of losing the ball0.270.54
    Playing styleŽilinaPodbrezová
    Build-up efficiency0.310.34
    Field tilt0.540.55
    xT per match1.21.2
    xTA per match11.2
    Won balls, offensive half2025
    Pressing intensity0.210.23
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1416
    Entries into the box against1214
    Pass completion %0.770.74
    Pass completion % under pressure0.740.7
    Passes per match390312
    Passes against per match290353
    Switches of play per match19.420.2
    Long balls per match2828
    Set piecesŽilinaPodbrezová
    xG from free kicks0.040.03
    Corners per match6.76.4
    Corners against per match5.55.4
    xG per corner0.030.03
    xGA per corner against0.010.03
    First touch, offensive corners %0.380.66
    First touch, defensive corners %0.670.59
    OtherŽilinaPodbrezová
    Throw-in control0.760.73
    The goalkeepersDavid Sipos (Žilina)Martin Trnovsky (Podbrezová)
    Saves1411
    Save %61%58%
    xG prevented33%40%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Žilina vs Podbrezová according to our model?

    The model gives Žilina a 52% win probability. Full 1X2 picture: Žilina 52%, draw 23%, Podbrezová 25%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 72% and under at 28%.

    Will both teams score?

    The probability of both teams scoring is 70% 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.