Czech First League13°7,6 mm20 km/h

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    JablonecJablonecCounter-attacks & crosses
    vs
    ZlínZlínLow block & direct
    The model's lean: 1 · Jablonec (72%)Best value by the model: Over 3,5 @ 2.95 (+5 %)

    Jablonec vs Zlín · Czech First League

    1 · Jablonec 72%X 18%10% Zlín · 2

    Analysis: JablonecZlín

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

    Jablonec's recent dominance and Zlín's poor form set the stage for a one-sided affair. While Jablonec has a solid mix of counter-attacks and crosses, Zlín struggles with a low defensive block, which has contributed to their eight-game losing streak. The model heavily favors the home side with a 72% win probability and expects them to dictate play. Given Jablonec's propensity to exploit defensive lapses, Zlín's shaky backline could be in for a long night.

    The numbers amplify this narrative. Jablonec's expected goals (xG) stand at a healthy 2.28 compared to Zlín's 0.74, pointing towards a comprehensive home victory. Most likely scorelines, such as 2-0 and 3-0, align with Jablonec's offensive capabilities and Zlín's defensive frailties. While the expected goals against (xGA) for Zlín hover at 1.7, Jablonec's tighter defense at 1.1 further tilts the odds in the hosts' favor.

    Rain is in the forecast, with 7.6 mm expected, which may dampen goal-scoring opportunities but is already factored into the model's 58% lean towards over 2.5 goals. Even with precipitation potentially suppressing scoring, the probability suggests goals are still on the cards. The small two-game head-to-head sample offers little insight—both teams have one win each—so current form and xG numbers are more telling.

    The sharpest angle here is the value on over 3.5 goals at odds of 2.95 with Betsafe, Betsson, and Nordicbet. The model rates this as a 36% chance, providing a 5% edge. Expect a dominant Jablonec performance, leaning towards a 2-0 or 3-0 result, with the potential for more goals if conditions allow.

    JablonecJablonec
    Form LDLWL
    League ranking xG #5xGA #5xT #2xP/match #7Points #7
    Key players
    • Matej PolidarLWxG 0.22 · xT 0.23
    • Martin CedidlaRBxG 0.12 · xT 0.11
    • Jan SuchanRWxG 0.24 · xT 0.11
    ZlínZlín
    Form LLLLL
    League ranking xG #14xGA #13xT #16xP/match #14Points #16
    Key players
    • Daniel ŠmigaFxG 0.23 · xT 0.15
    • Marian PisojaRWxG 0.02 · xT 0.02
    • Naphthalene Frank AppiahRWxG 0.09 · xT 0.19

    Match prediction: JablonecZlín

    Predicted score matrix

    Zlín
    Jablonec
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–13.4%
    0–21.3%
    0–30.3%
    0–4+0.1%
    1
    1–011.0%
    1–18.5%
    1–23.0%
    1–30.7%
    1–4+0.2%
    2
    2–012.8%
    2–19.4%
    2–23.4%
    2–30.8%
    2–4+0.2%
    3
    3–09.7%
    3–17.1%
    3–22.6%
    3–30.6%
    3–4+0.1%
    4+
    4+–09.4%
    4+–16.9%
    4+–22.5%
    4+–30.6%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-013%
    2. 2.1-011%
    3. 3.3-010%
    4. 4.2-19%
    5. 5.1-18%
    Expected goals
    2,280,74
    Both teams to score
    47%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @1.90
    Over 2,558%
    @1.80EV+4%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Jablonec to win72%
    • Over 1.5 goals80%

    Combined probability

    61%

    Fair odds

    1.64

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

    02 · 3 legs

    Balanced

    • Jablonec to win72%
    • Over 2.5 goals58%
    • Antonín Růsek to score40%

    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 score47%
    • Over 2.5 goals58%
    • Antonín Růsek to score40%
    • Cletus Nombil 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+).

    • Over 3.536% probability@2.95BetsafeEV+5%reference odds
    • Over 3.536% probability@2.95BetssonEV+5%reference odds
    • Over 3.536% probability@2.95NordicbetEV+5%reference odds
    Bookmaker1 · JablonecX2 · Zlín
    Betsafe1.384.307.20
    Betsson1.384.307.20
    Nordicbet1.384.307.20

    Odds updated 18 Sept, 11:38

    Odds movement

    1-3 %
    68 %63 %

    1.421.38

    X+4 %
    24 %19 %

    4.154.30

    2+6 %
    16 %11 %

    6.807.20

    Over 2,5-1 %
    54 %49 %

    1.821.80

    Betsson · 8 recorded price levels · 14/09/2026 → 18/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Jablonec 1Draw 0Zlín 1
    Goals: 43 (⌀ 3,5)

    Head-to-head based on Czech First League data since 2023.

    Key facts

    • FC Zlin have lost 8 in a row.
    xG & xGA per match — 3-game rolling average

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

    Jablonec
    Zlín
    When goals are scored and conceded 2026
    Jablonec (108)
    Zlín (718)
    Pass networks

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

    Jablonec
    Dušan Pavlović: 270 passningar, xT 0.2PavlovićRichard Sedlacek: 205 passningar, xT 0.33SedlacekNemanja Tekijaski: 165 passningar, xT 0.26TekijaskiMartin Cedidla: 157 passningar, xT 0.54CedidlaVakhtang Chanturishvili: 149 passningar, xT 0.93ChanturishviliFilip Novak: 144 passningar, xT 0.18NovakJiří Sláma: 88 passningar, xT 0.44SlámaFilip Zorvan: 80 passningar, xT 0.13ZorvanSebastian Nebyla: 77 passningar, xT 1.01NebylaNelson Okeke: 69 passningar, xT -0.1OkekeJan Hanus: 66 passningar, xT 0.07Hanus
    Zlín
    Jakub Cernin: 156 passningar, xT 0.36CerninStanislav Dostal: 124 passningar, xT 0.18DostalOndřej Kukučka: 92 passningar, xT 0.53KukučkaJakub Kolar: 92 passningar, xT 0.21KolarMichal Fukala: 91 passningar, xT 0.22FukalaMilos Kopecny: 86 passningar, xT 0.25KopecnyMarian Pisoja: 82 passningar, xT 0.05PisojaCletus Nombil: 78 passningar, xT 0.14NombilAntonin Krapka: 67 passningar, xT 0.2KrapkaStanislav Petruta: 58 passningar, xT 0.04PetrutaNaphthalene Frank Appiah: 34 passningar, xT 0.43Appiah
    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.

    Jablonec
    Dušan Pavlović: 270 passningar, xT 0.2PavlovićRichard Sedlacek: 205 passningar, xT 0.33SedlacekNemanja Tekijaski: 165 passningar, xT 0.26TekijaskiMartin Cedidla: 157 passningar, xT 0.54CedidlaVakhtang Chanturishvili: 149 passningar, xT 0.93ChanturishviliFilip Novak: 144 passningar, xT 0.18NovakJiří Sláma: 88 passningar, xT 0.44SlámaFilip Zorvan: 80 passningar, xT 0.13ZorvanSebastian Nebyla: 77 passningar, xT 1.01NebylaNelson Okeke: 69 passningar, xT -0.1OkekeJan Hanus: 66 passningar, xT 0.07Hanus
    Zlín
    Jakub Cernin: 156 passningar, xT 0.36CerninStanislav Dostal: 124 passningar, xT 0.18DostalOndřej Kukučka: 92 passningar, xT 0.53KukučkaJakub Kolar: 92 passningar, xT 0.21KolarMichal Fukala: 91 passningar, xT 0.22FukalaMilos Kopecny: 86 passningar, xT 0.25KopecnyMarian Pisoja: 82 passningar, xT 0.05PisojaCletus Nombil: 78 passningar, xT 0.14NombilAntonin Krapka: 67 passningar, xT 0.2KrapkaStanislav Petruta: 58 passningar, xT 0.04PetrutaNaphthalene Frank Appiah: 34 passningar, xT 0.43Appiah

    The teams in numbers

    PerformanceJablonecZlín
    Points130
    xPoints11.68.2
    xG per match1.50.92
    xGA per match1.11.7
    xG within 8s of winning the ball0.360.19
    xGA within 8s of losing the ball0.220.24
    Playing styleJablonecZlín
    Build-up efficiency0.320.31
    Field tilt0.470.35
    xT per match1.20.7
    xTA per match1.10.96
    Won balls, offensive half2126
    Pressing intensity0.240.24
    Pressing efficiency0.310.29
    Pressing efficiency, offensive half0.280.23
    Entries into the box per match129
    Entries into the box against1213
    Pass completion %0.770.67
    Pass completion % under pressure0.720.6
    Passes per match362234
    Passes against per match313345
    Switches of play per match32.925.8
    Long balls per match3634
    Set piecesJablonecZlín
    xG from free kicks0.10.05
    Corners per match4.75
    Corners against per match4.35.2
    xG per corner0.020.02
    xGA per corner against0.010.02
    First touch, offensive corners %0.390.33
    First touch, defensive corners %0.690.64
    OtherJablonecZlín
    Throw-in control0.770.68
    The goalkeepersKlemen Mihelak (Jablonec)Stanislav Dostal (Zlín)
    Saves1218
    Save %75%53%
    xG prevented37%29%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Jablonec vs Zlín according to our model?

    The model gives Jablonec a 72% win probability. Full 1X2 picture: Jablonec 72%, draw 18%, Zlín 10%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 47% 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.