Slovak Super League9°2,1 mm15 km/h

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    PodbrezováPodbrezováCounter-attacks & crosses
    vs
    Spartak TrnavaSpartak TrnavaPossession control
    The model's lean: 2 · Spartak Trnava (43%)

    Podbrezová vs Spartak Trnava · Slovak Super League

    1 · Podbrezová 32%X 25%43% Spartak Trnava · 2

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    Analysis: Podbrezová – Spartak Trnava

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

    TEXT: Spartak Trnava's consistent offensive output, with goals scored in 9 consecutive league matches, is a key element shaping the upcoming clash against Podbrezová. This attacking momentum aligns with their 43% likelihood of victory according to the model, which clearly leans towards the visitors. The historical context adds weight to this prediction, as Trnava has dominated this fixture with 6 wins out of the last 8 encounters. This record matches the head-to-head since 2023, so it reflects the full sample of meetings rather than a smaller subset.

    Podbrezová, though trailing slightly in both points (14 to 18) and expected points (14.0 to 15.3), boasts a superior xG per match at 2.0 compared to Trnava's 1.8. This suggests that while Trnava has been more effective on the scoreboard, the hosts have the capacity to generate high-quality chances when they do break forward, particularly via counterattacks and crosses.

    The encounter is also anticipated to be high-scoring, with a 60% chance of over 2.5 goals and a 62% likelihood of both teams finding the net. This aligns with the 3.6 goals per meeting average historically in this matchup. Both sides have vulnerabilities at the back; Podbrezová's xGA of 1.6 per match presents an area Spartak Trnava could exploit through their possession control style.

    In terms of likely scorelines, the model identifies 1-1 as the most probable result (11%), followed closely by a 1-2 away victory (9%). While a home win isn't off the cards, the 2-1 scoreline carries only an 8% probability.

    Given the evidence and historical context, the strongest angle lies with Trnava's ability to continue their scoring streak, aligning well with the data's story.

    PodbrezováPodbrezová
    Form LDLDW
    League ranking xG #2xGA #8xT #2xP/match #4Points #5
    Key players
    • Peter KováčikRWxG 0.45 · xT 0.26
    • Karlo MiljanicRWxG 0.35 · xT 0.11
    • Filip MielkeCBxG 0.11 · xT 0.10
    Spartak TrnavaSpartak Trnava
    Form WLDWD
    League ranking xG #5xGA #3xT #7xP/match #2Points #3
    Key players
    • Timotej KudlickaFxG 0.46 · xT -0.01
    • Dávid PolťákFxG 0.76 · xT -0.01
    • Marek UjlakyCBxG 0.06 · xT 0.09

    Match prediction: Podbrezová – Spartak Trnava

    Predicted score matrix

    Spartak Trnava →
    Podbrezová →
    0
    1
    2
    3
    4+
    0
    0–04.8%
    0–17.3%
    0–26.5%
    0–33.6%
    0–4+2.3%
    1
    1–06.0%
    1–111.0%
    1–29.1%
    1–35.1%
    1–4+3.2%
    2
    2–04.5%
    2–17.6%
    2–26.4%
    2–33.6%
    2–4+2.2%
    3
    3–02.1%
    3–13.5%
    3–23.0%
    3–31.7%
    3–4+1.0%
    4+
    4+–01.0%
    4+–11.7%
    4+–21.4%
    4+–30.8%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.0-26%
    Expected goals
    1,41–1,69
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.25
    Over 2,560%
    @1.65

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Spartak Trnava or draw (X2)68%
    • Over 1.5 goals82%

    Combined probability

    56%

    Fair odds

    1.78

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

    02 · 3 legs

    Balanced

    • Double chance Spartak Trnava or draw (X2)68%
    • Over 2.5 goals60%
    • Hillary Chukwah Gong to score23%

    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 score62%
    • Over 2.5 goals60%
    • Hillary Chukwah Gong to score23%
    • Rene Rantusa Lampreht 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 · Spartak Trnava43% probability@2.52BetsafeEV+8%reference odds
    • 2 · Spartak Trnava43% probability@2.52NordicbetEV+8%reference odds
    Bookmaker1 · PodbrezováX2 · Spartak Trnava
    Bet3652.703.602.30
    Betsafe2.453.35
    EV+ 8%
    2.52
    Nordicbet2.453.35
    EV+ 8%
    2.52

    Odds updated 4 Oct, 18:36

    Odds movement

    1-8 %
    38 %33 %

    2.65 → 2.45

    X-3 %
    29 %24 %

    3.45 → 3.35

    2+11 %
    40 %35 %

    2.28 → 2.52

    Over 2,5+3 %
    60 %55 %

    1.60 → 1.65

    Nordicbet · 2 recorded price levels · 02/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Podbrezová 1Draw 1Spartak Trnava 6
    Goals: 10–19 (⌀ 3,6)

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

    Key facts

    • Spartak Trnava dominate this fixture historically: 6 wins to 1 in 8 meetings.
    • A high-scoring fixture: 3.6 goals per meeting on average.
    • Spartak Trnava have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Podbrezová
    Spartak Trnava
    When goals are scored and conceded — 2026
    Podbrezová (13–16)
    Spartak Trnava (21–10)
    Pass networks

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

    Podbrezová
    Rene Rantusa Lampreht: 248 passningar, xT 0.46LamprehtJakub Luka: 223 passningar, xT 0.69LukaPeter Kováčik: 153 passningar, xT 0.68KováčikRene Paraj: 121 passningar, xT 0.67ParajVincent Chyla: 115 passningar, xT 0.44ChylaOndrej Deml: 109 passningar, xT 1.33DemlJan Krivak: 107 passningar, xT 0.09KrivakMartin Chrien: 101 passningar, xT 0.52ChrienLukáš Domaniský: 77 passningar, xT 0.14DomaniskýRadek Kejval: 65 passningar, xT 0.13KejvalMaksym Khiminets: 60 passningar, xT 0.46Khiminets
    Spartak Trnava
    Erik Sabo: 261 passningar, xT 0.52SaboMarek Ujlaky: 260 passningar, xT 0.39UjlakyMarin Laušić: 225 passningar, xT 0.64LaušićKristian Kostrna: 193 passningar, xT 1.1KostrnaJuan Miguel Carrion Gallardo: 180 passningar, xT 0.91GallardoMartin Vantruba: 147 passningar, xT 0.1VantrubaGiorgi Moistsrapishvili: 129 passningar, xT 0.21MoistsrapishviliLuka Khorkheli: 88 passningar, xT 0.06KhorkheliFilip Trello: 83 passningar, xT 0.31TrelloPhilip Azango: 58 passningar, xT -0.08AzangoRoman Begala: 56 passningar, xT -0.06Begala
    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.

    Podbrezová
    Rene Rantusa Lampreht: 248 passningar, xT 0.46LamprehtJakub Luka: 223 passningar, xT 0.69LukaPeter Kováčik: 153 passningar, xT 0.68KováčikRene Paraj: 121 passningar, xT 0.67ParajVincent Chyla: 115 passningar, xT 0.44ChylaOndrej Deml: 109 passningar, xT 1.33DemlJan Krivak: 107 passningar, xT 0.09KrivakMartin Chrien: 101 passningar, xT 0.52ChrienLukáš Domaniský: 77 passningar, xT 0.14DomaniskýRadek Kejval: 65 passningar, xT 0.13KejvalMaksym Khiminets: 60 passningar, xT 0.46Khiminets
    Spartak Trnava
    Erik Sabo: 261 passningar, xT 0.52SaboMarek Ujlaky: 260 passningar, xT 0.39UjlakyMarin Laušić: 225 passningar, xT 0.64LaušićKristian Kostrna: 193 passningar, xT 1.1KostrnaJuan Miguel Carrion Gallardo: 180 passningar, xT 0.91GallardoMartin Vantruba: 147 passningar, xT 0.1VantrubaGiorgi Moistsrapishvili: 129 passningar, xT 0.21MoistsrapishviliLuka Khorkheli: 88 passningar, xT 0.06KhorkheliFilip Trello: 83 passningar, xT 0.31TrelloPhilip Azango: 58 passningar, xT -0.08AzangoRoman Begala: 56 passningar, xT -0.06Begala

    The teams in numbers

    PerformancePodbrezováSpartak Trnava
    Points1418
    xPoints1415.3
    xG per match21.8
    xGA per match1.61.1
    xG within 8s of winning the ball0.310.3
    xGA within 8s of losing the ball0.440.26
    Playing stylePodbrezováSpartak Trnava
    Build-up efficiency0.330.32
    Field tilt0.550.56
    xT per match1.41
    xTA per match1.30.89
    Won balls, offensive half2423
    Pressing intensity0.230.23
    Pressing efficiency0.290.31
    Pressing efficiency, offensive half0.250.28
    Entries into the box per match1716
    Entries into the box against1412
    Pass completion %0.730.76
    Pass completion % under pressure0.70.71
    Passes per match316359
    Passes against per match343294
    Switches of play per match20.822.5
    Long balls per match3034
    Set piecesPodbrezováSpartak Trnava
    xG from free kicks0.070.02
    Corners per match6.35.6
    Corners against per match4.93.8
    xG per corner0.030.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.590.47
    First touch, defensive corners %0.570.59
    OtherPodbrezováSpartak Trnava
    Throw-in control0.730.72
    The goalkeepersLukáš Domaniský (Podbrezová)Martin Vantruba (Spartak Trnava)
    Saves1633
    Save %67%77%
    xG prevented34%63%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Podbrezová vs Spartak Trnava according to our model?

    The model gives Spartak Trnava a 43% win probability. Full 1X2 picture: Podbrezová 32%, draw 25%, Spartak Trnava 43%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.