Slovak Super League13°9 km/h

    Läs på svenska
    PodbrezováPodbrezováLow block & direct
    vs
    KomárnoKomárnoCounter-attacks & crosses
    The model's lean: 1 · Podbrezová (56%)

    PodbrezováKomárno · Slovak Super League

    1 · Podbrezová 56%X 22%23% Komárno · 2

    Analysis: PodbrezováKomárno

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

    Podbrezová's attacking prowess could be a decisive factor on their home turf against Komárno. With an expected goals tally of 2.05, the hosts are well-suited to capitalise on their low defence and direct style, which may be particularly effective against a visiting side that relies on counterattacks and crosses. The statistical advantage in points and expected points also supports Podbrezová's likely dominance in this matchup.

    Komárno, despite their counter-attacking approach, have struggled to convert opportunities into goals, with an expected goals figure of just 1.24. Their defensive metrics, however, present a more promising picture, boasting a lower expected goals against per match (1.2) compared to Podbrezová's 1.7. This defensive resilience might help them mitigate the hosts' attacking threats, making the game more competitive than it appears on paper.

    The head-to-head record between these teams since 2023 is limited to four matches, showing a slight edge for the hosts with 2 wins, 1 draw, and 1 loss. While this sample size is too small to heavily influence predictions, it aligns with the overall statistical edge Podbrezová holds in the current season. The model's most likely scorelines are split between 1-1 and 2-1, both at 10%, highlighting the potential for a closely fought encounter, yet leaning slightly towards the home side.

    Bettors might find value in backing Podbrezová at odds of 2.02 with Betsafe, Betsson, and Nordicbet, offering a significant 13% edge based on the model's 56% win probability for the hosts. With a 64% likelihood of over 2.5 goals and a 62% chance of both teams scoring, a 2-1 victory for the home side seems plausible. The odds and probabilities suggest a strong betting opportunity for those siding with Podbrezová to clinch the win.

    PodbrezováPodbrezová
    Form WWLDL
    League ranking xG #4xGA #7xT #5xP/match #5Points #6
    Key players
    • Vincent ChylaCDMxG 0.05 · xT 0.08
    • Luka SilagadzeFxG 0.24 · xT 0.07
    • Radek SilerFxG 0.55 · xT 0.15
    KomárnoKomárno
    Form DLLDD
    League ranking xG #9xGA #4xT #3xP/match #9Points #10
    Key players
    • Robert PillarCBxG 0.11 · xT 0.07
    • Ján BernátRWxG 0.08 · xT 0.21
    • Dominik ZakCDMxG 0.04 · xT -0.08

    Match prediction: PodbrezováKomárno

    Predicted score matrix

    Komárno
    Podbrezová
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–14.4%
    0–22.9%
    0–31.2%
    0–4+0.5%
    1
    1–07.4%
    1–19.8%
    1–25.9%
    1–32.4%
    1–4+1.0%
    2
    2–07.8%
    2–19.7%
    2–26.0%
    2–32.5%
    2–4+1.0%
    3
    3–05.3%
    3–16.6%
    3–24.1%
    3–31.7%
    3–4+0.7%
    4+
    4+–04.4%
    4+–15.4%
    4+–23.4%
    4+–31.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-08%
    4. 4.1-07%
    5. 5.3-17%
    Expected goals
    2,051,24
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.25
    Over 2,564%
    @1.58EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Podbrezová to win56%
    • Over 1.5 goals84%

    Combined probability

    48%

    Fair odds

    2.08

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

    02 · 3 legs

    Balanced

    • Podbrezová to win56%
    • Over 2.5 goals64%
    • Ondřej Deml to score21%

    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 goals64%
    • Ondřej Deml to score21%
    • Filip Kiss 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 · Podbrezová56% probability@2.02BetsafeEV+13%reference odds
    • 1 · Podbrezová56% probability@2.02BetssonEV+13%reference odds
    • 1 · Podbrezová56% probability@2.02NordicbetEV+13%reference odds
    Bookmaker1 · PodbrezováX2 · Komárno
    Betsafe
    EV+ 13%
    2.02
    3.403.20
    Betsson
    EV+ 13%
    2.02
    3.403.20
    Nordicbet
    EV+ 13%
    2.02
    3.403.20
    Pinnacle
    EV+ 12%
    2.00
    3.713.30

    Odds updated 11 Sept, 12:23

    Odds movement

    Market signal

    The market has moved clearly towards an Komárno win since 7 September — the odds have shortened from 3.68 to 3.30 (−10%).

    1+4 %
    52 %42 %

    1.922.00

    X+4 %
    30 %20 %

    3.583.71

    2-10 %
    32 %22 %

    3.683.30

    Pinnacle · 9 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Podbrezová 2Draw 1Komárno 1
    Goals: 65 (⌀ 2,8)

    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).

    Podbrezová
    Komárno
    When goals are scored and conceded 2026
    Podbrezová (1115)
    Komárno (611)
    Pass networks

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

    Podbrezová
    Jakub Luka: 270 passningar, xT 0.74LukaRene Rantusa Lampreht: 218 passningar, xT 0.31LamprehtPeter Kováčik: 135 passningar, xT 1.19KováčikVincent Chyla: 125 passningar, xT 0.72ChylaRene Paraj: 104 passningar, xT 0.6ParajOndrej Deml: 94 passningar, xT 0.27DemlMartin Chrien: 90 passningar, xT 0.05ChrienLukáš Domaniský: 87 passningar, xT 0.11DomaniskýJan Krivak: 79 passningar, xT 0.06KrivakFilip Mielke: 78 passningar, xT 0.08MielkeRadek Kejval: 65 passningar, xT 0.13Kejval
    Komárno
    Robert Pillar: 233 passningar, xT 0.56PillarDominik Spiriak: 214 passningar, xT 0.32SpiriakKristof Domonkos: 200 passningar, xT 0.44DomonkosFilip Kiss: 195 passningar, xT 0.28KissDominik Zak: 192 passningar, xT 1.51ZakBranislav Pindroch: 157 passningar, xT 0.18PindrochAdam Krcik: 142 passningar, xT 0.7KrcikJán Bernát: 136 passningar, xT 0.18BernátSimon Smehyl: 124 passningar, xT 1.17SmehylMartin Simko: 70 passningar, xT 0.23SimkoJakub Sylvestr: 58 passningar, xT -0.08Sylvestr
    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
    Jakub Luka: 270 passningar, xT 0.74LukaRene Rantusa Lampreht: 218 passningar, xT 0.31LamprehtPeter Kováčik: 135 passningar, xT 1.19KováčikVincent Chyla: 125 passningar, xT 0.72ChylaRene Paraj: 104 passningar, xT 0.6ParajOndrej Deml: 94 passningar, xT 0.27DemlMartin Chrien: 90 passningar, xT 0.05ChrienLukáš Domaniský: 87 passningar, xT 0.11DomaniskýJan Krivak: 79 passningar, xT 0.06KrivakFilip Mielke: 78 passningar, xT 0.08MielkeRadek Kejval: 65 passningar, xT 0.13Kejval
    Komárno
    Robert Pillar: 233 passningar, xT 0.56PillarDominik Spiriak: 214 passningar, xT 0.32SpiriakKristof Domonkos: 200 passningar, xT 0.44DomonkosFilip Kiss: 195 passningar, xT 0.28KissDominik Zak: 192 passningar, xT 1.51ZakBranislav Pindroch: 157 passningar, xT 0.18PindrochAdam Krcik: 142 passningar, xT 0.7KrcikJán Bernát: 136 passningar, xT 0.18BernátSimon Smehyl: 124 passningar, xT 1.17SmehylMartin Simko: 70 passningar, xT 0.23SimkoJakub Sylvestr: 58 passningar, xT -0.08Sylvestr

    The teams in numbers

    PerformancePodbrezováKomárno
    Points104
    xPoints10.38.4
    xG per match21.3
    xGA per match1.71.2
    xG within 8s of winning the ball0.330.19
    xGA within 8s of losing the ball0.480.19
    Playing stylePodbrezováKomárno
    Build-up efficiency0.330.34
    Field tilt0.550.56
    xT per match1.21.2
    xTA per match1.20.76
    Won balls, offensive half2427
    Pressing intensity0.220.21
    Pressing efficiency0.260.3
    Pressing efficiency, offensive half0.220.27
    Entries into the box per match1516
    Entries into the box against1312
    Pass completion %0.730.78
    Pass completion % under pressure0.710.75
    Passes per match312394
    Passes against per match355301
    Switches of play per match20.326.1
    Long balls per match2840
    Set piecesPodbrezováKomárno
    xG from free kicks0.080.09
    Corners per match6.36
    Corners against per match5.26.2
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.640.6
    First touch, defensive corners %0.580.58
    OtherPodbrezováKomárno
    Throw-in control0.730.73
    The goalkeepersMartin Trnovsky (Podbrezová)Branislav Pindroch (Komárno)
    Saves1119
    Save %58%73%
    xG prevented40%73%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Podbrezová vs Komárno according to our model?

    The model gives Podbrezová a 56% win probability. Full 1X2 picture: Podbrezová 56%, draw 22%, Komárno 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.