Slovak Super LeagueŠtadión Antona Malatinského, Trnava22°9 km/h

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    Spartak TrnavaSpartak TrnavaPossession control
    13
    ŽilinaŽilinaCounter-attacks & crosses
    The model's lean: 1 · Spartak Trnava (54%)Best value by the model: X · Draw @ 3.92 (+3 %)

    Spartak TrnavaŽilina · Slovak Super League

    1 · Spartak Trnava 54%X 26%20% Žilina · 2

    Analysis: Spartak TrnavaŽilina

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

    Fifty-four percent. That's the model's probability for Spartak Trnava to edge past Žilina in the upcoming Slovak Super League clash. With a recent streak of four consecutive wins, the home side enters the match in formidable form. Despite having only two victories in their past eight head-to-head encounters with Žilina since 2023, Trnava's current momentum and possession-based approach should tilt the balance in their favor. The visitors, relying on counterattacks and crosses, might find it challenging to break down a team boasting an xGA of just 0.64 per match.

    Expected goals paint a clear picture: Trnava at 1.79 and Žilina at 1.16. The model leans towards a narrow Trnava win, with 2-1 being one of the most probable outcomes at 10%. Despite the dominant xG and xPoints advantages in their favor, the head-to-head sample size is small, limiting its weight compared to current form metrics. A 57% chance of over 2.5 goals, alongside a 58% probability for both teams to score, suggests an open affair.

    For bettors seeking value, the odds are aligned across Betsafe, Betsson, and Nordicbet at 1.85 for a Trnava victory. Given the model's 54% probability, this presents an even-value opportunity rather than an outright edge.

    Spartak TrnavaSpartak Trnava
    Form DWWWW
    League ranking xG #2xGA #1xT #7xP/match #1Points #1
    Key players
    • Marin LaušićCMxG 0.07 · xT 0.24
    • Dávid PolťákFxG 0.85 · xT 0.02
    • Marek UjlakyCBxG 0.11 · xT 0.08
    ŽilinaŽilina
    Form DWLWW
    League ranking xG #5xGA #6xT #3xP/match #7Points #4
    Key players
    • Michal FaskoFxG 0.11 · xT 0.19
    • Fabian BzdylLWxG 0.14 · xT 0.06
    • Daniel Homet RuizFxG 0.80 · xT 0.05
    Final score
    13
    The model missed the outcome
    Predicted probabilities: Spartak Trnava 54% · Draw 26% · Žilina 20%

    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 - Spartak TrnavaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,76fair 6,20-23 %
    Miss
    Matchresultat - MŠK ŽilinaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,80fair 14,55-26 %
    Hit

    Match prediction: Spartak TrnavaŽilina

    Predicted score matrix

    Žilina
    Spartak Trnava
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–15.8%
    0–23.5%
    0–31.4%
    0–4+0.5%
    1
    1–09.0%
    1–111.2%
    1–26.3%
    1–32.5%
    1–4+0.9%
    2
    2–08.4%
    2–19.7%
    2–25.7%
    2–32.2%
    2–4+0.8%
    3
    3–05.0%
    3–15.8%
    3–23.4%
    3–31.3%
    3–4+0.5%
    4+
    4+–03.3%
    4+–13.9%
    4+–22.3%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,791,16
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,543%
    @2.26
    Over 2,557%
    @1.64

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Spartak Trnava to win54%
    • Over 1.5 goals80%

    Combined probability

    43%

    Fair odds

    2.35

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

    02 · 3 legs

    Balanced

    • Spartak Trnava to win54%
    • Over 2.5 goals57%
    • Hillary Chukwah Gong to score26%

    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 score58%
    • Over 2.5 goals57%
    • Hillary Chukwah Gong to score26%
    • Tobiáš Pališčák 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+).

    • X · Draw26% probability@3.92PinnacleEV+3%reference odds
    Bookmaker1 · Spartak TrnavaX2 · Žilina
    Betsafe1.723.703.95
    Betsson1.723.703.95
    Nordicbet1.723.703.95
    Pinnacle1.81
    EV+ 3%
    3.92
    4.00

    Odds updated 30 Aug, 09:35

    Odds movement

    10 %
    55 %50 %

    1.811.81

    X+2 %
    27 %22 %

    3.843.92

    2+5 %
    26 %21 %

    3.814.00

    Pinnacle · 10 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Spartak Trnava 2Draw 3Žilina 3
    Goals: 811 (⌀ 2,4)

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

    Key facts

    • Spartak Trnava come into this round on 4 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Spartak Trnava
    Žilina
    When goals are scored and conceded 2026
    Spartak Trnava (122)
    Žilina (1211)
    Pass networks

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

    Spartak Trnava
    Marin Laušić: 203 passningar, xT 1.06LaušićErik Sabo: 171 passningar, xT 0.41SaboMarek Ujlaky: 163 passningar, xT 0.33UjlakyKristian Kostrna: 137 passningar, xT 0.39KostrnaMartin Vantruba: 131 passningar, xT 0.24VantrubaMartin Mikovic: 121 passningar, xT 0.34MikovicRoman Begala: 88 passningar, xT -0.02BegalaFilip Trello: 75 passningar, xT 0.53TrelloLuka Khorkheli: 75 passningar, xT 0.19KhorkheliJuan Miguel Carrion Gallardo: 71 passningar, xT 0.52GallardoMelos Bajrami: 65 passningar, xT 0.21Bajrami
    Žilina
    Tobias Paliscak: 226 passningar, xT 0.35PaliscakAleksandre Narimanidze: 221 passningar, xT 0.12NarimanidzeJan Minarik: 206 passningar, xT 0.73MinarikFabian Bzdyl: 189 passningar, xT 0.33BzdylKristian Bari: 143 passningar, xT 1.55BariMiroslav Kacer: 127 passningar, xT 0.27KacerDavid Sipos: 116 passningar, xT 0.18SiposXavier Adang: 86 passningar, xT 0.2AdangMarek Okál: 84 passningar, xT 0.07OkálPatrik Baleja: 79 passningar, xT 0.07BalejaFrantisek Kosa: 77 passningar, xT 0.78Kosa
    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.

    Spartak Trnava
    Marin Laušić: 203 passningar, xT 1.06LaušićErik Sabo: 171 passningar, xT 0.41SaboMarek Ujlaky: 163 passningar, xT 0.33UjlakyKristian Kostrna: 137 passningar, xT 0.39KostrnaMartin Vantruba: 131 passningar, xT 0.24VantrubaMartin Mikovic: 121 passningar, xT 0.34MikovicRoman Begala: 88 passningar, xT -0.02BegalaFilip Trello: 75 passningar, xT 0.53TrelloLuka Khorkheli: 75 passningar, xT 0.19KhorkheliJuan Miguel Carrion Gallardo: 71 passningar, xT 0.52GallardoMelos Bajrami: 65 passningar, xT 0.21Bajrami
    Žilina
    Tobias Paliscak: 226 passningar, xT 0.35PaliscakAleksandre Narimanidze: 221 passningar, xT 0.12NarimanidzeJan Minarik: 206 passningar, xT 0.73MinarikFabian Bzdyl: 189 passningar, xT 0.33BzdylKristian Bari: 143 passningar, xT 1.55BariMiroslav Kacer: 127 passningar, xT 0.27KacerDavid Sipos: 116 passningar, xT 0.18SiposXavier Adang: 86 passningar, xT 0.2AdangMarek Okál: 84 passningar, xT 0.07OkálPatrik Baleja: 79 passningar, xT 0.07BalejaFrantisek Kosa: 77 passningar, xT 0.78Kosa

    The teams in numbers

    PerformanceSpartak TrnavaŽilina
    Points1310
    xPoints11.46.4
    xG per match2.31.7
    xGA per match0.641.5
    xG within 8s of winning the ball0.470.44
    xGA within 8s of losing the ball0.210.32
    Playing styleSpartak TrnavaŽilina
    Build-up efficiency0.320.31
    Field tilt0.550.55
    xT per match0.981.3
    xTA per match0.711
    Won balls, offensive half2521
    Pressing intensity0.220.21
    Pressing efficiency0.320.3
    Pressing efficiency, offensive half0.290.27
    Entries into the box per match1614
    Entries into the box against1212
    Pass completion %0.740.76
    Pass completion % under pressure0.680.74
    Passes per match316395
    Passes against per match275266
    Switches of play per match20.916.4
    Long balls per match3326
    Set piecesSpartak TrnavaŽilina
    xG from free kicks0.020.05
    Corners per match7.47.8
    Corners against per match4.15.6
    xG per corner0.030.03
    xGA per corner against0.020.01
    First touch, offensive corners %0.530.36
    First touch, defensive corners %0.480.64
    OtherSpartak TrnavaŽilina
    Throw-in control0.680.76
    The goalkeepersMartin Vantruba (Spartak Trnava)David Sipos (Žilina)
    Saves2111
    Save %91%58%
    xG prevented85%29%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Spartak Trnava vs Žilina according to our model?

    The model gives Spartak Trnava a 54% win probability. Full 1X2 picture: Spartak Trnava 54%, draw 26%, Žilina 20%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.