EredivisieHet Kasteel, Rotterdam20°4,2 mm39 km/h

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    Sparta RotterdamSparta RotterdamCounter-attacks & crosses
    vs
    PEC ZwollePEC ZwolleLow block & direct
    The model's lean: 1 · Sparta Rotterdam (52%)Best value by the model: Under 0,5 @ 21.00 (+39 %)

    Sparta RotterdamPEC Zwolle · Eredivisie

    1 · Sparta Rotterdam 52%X 27%21% PEC Zwolle · 2

    Analysis: Sparta RotterdamPEC Zwolle

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT (corrected):

    Sparta Rotterdam's defensive vulnerabilities are glaring, with an average of 2.1 expected goals against per match, exposing a soft underbelly. Yet, their counter-attacking strategy, coupled with an edge in expected goals per match over PEC Zwolle, gives them a slight advantage. The model sees a 52% probability for a home win, indicating Sparta is set to control this encounter, albeit through patient buildup and cautious play.

    Zwolle's track record against Sparta is strong, having won half of their last six meetings. However, these head-to-head results hold less weight when juxtaposed with their season-long form. Sparta holds a narrow edge in points, four to Zwolle's three, though Zwolle actually leads on xPoints, 4.6 to 3.5, suggesting their underlying performances have been slightly stronger. This pattern suggests a competitive clash, with the model's lean toward the hosts resting more on style and expected goals than on the broader underlying numbers.

    The most likely scorelines of 1-1 and 1-0 underscore a match likely to be decided by narrow margins. The expected goals tilt towards Sparta at 1.76, hinting at a potential edge to break through Zwolle’s low defensive line. Yet, given both teams' capacity to concede, a draw or a slim home victory seems more probable. The modeled likelihood of over 2.5 goals is almost perfectly balanced at 52%, acknowledging the potential for goals but within a framework that still respects both sides' defensive susceptibilities.

    Rain at 4.2 mm is expected, which may suppress goal-scoring to some extent, though this factor is already accounted for in the model's predictions. Looking for a tighter, lower-scoring affair? The under 0.5 goals market holds significant value at odds of 21.0 across Betsafe, Betsson, and Nordicbet, offering a substantial edge of 39% according to the model. While such an outcome is inherently low probability at 7%, the potential payoff for a scoreless draw could appeal to those willing to back a rare but statistically juicy scenario.

    Sparta RotterdamSparta Rotterdam
    Form LLWDL
    League ranking xG #13xGA #14xT #7xP/match #17Points #12
    Key players
    • Milan ZonneveldRWxG 0.51 · xT 0.04
    • Julian BaasCMxG 0.03 · xT 0.05
    • Marvin YoungCBxG 0.19 · xT 0.05
    PEC ZwollePEC Zwolle
    Form LLLWL
    League ranking xG #16xGA #13xT #17xP/match #12Points #13
    Key players
    • Koen KostonsFxG 0.35 · xT 0.11
    • Tobias Sommer SørensenFxG 0.10 · xT 0.04
    • Dylan MbayoRWxG 0.10 · xT 0.13

    Match prediction: Sparta RotterdamPEC Zwolle

    Predicted score matrix

    PEC Zwolle
    Sparta Rotterdam
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–16.0%
    0–23.2%
    0–31.1%
    0–4+0.3%
    1
    1–010.8%
    1–111.5%
    1–25.6%
    1–31.9%
    1–4+0.6%
    2
    2–09.8%
    2–19.8%
    2–24.9%
    2–31.6%
    2–4+0.5%
    3
    3–05.7%
    3–15.8%
    3–22.9%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.8%
    4+–13.8%
    4+–21.9%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-010%
    5. 5.0-07%
    Expected goals
    1,761,00
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @2.63EV+26%
    Over 2,552%
    @1.44

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Sparta Rotterdam to win52%
    • Over 1.5 goals77%

    Combined probability

    44%

    Fair odds

    2.27

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

    02 · 3 legs

    Balanced

    • Sparta Rotterdam to win52%
    • Over 2.5 goals52%
    • Tobias Lauritsen to score33%

    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 score53%
    • Over 2.5 goals52%
    • Tobias Lauritsen to score33%
    • Simon Graves Jensen 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+).

    • Under 0.57% probability@21.00BetsafeEV+39%reference odds
    • Under 0.57% probability@21.00BetssonEV+39%reference odds
    • Under 0.57% probability@21.00NordicbetEV+39%reference odds
    Bookmaker1 · Sparta RotterdamX2 · PEC Zwolle
    Betsafe1.88
    EV+ 5%
    3.81
    3.64
    Betsson1.88
    EV+ 5%
    3.81
    3.64
    Nordicbet1.88
    EV+ 5%
    3.81
    3.64
    Pinnacle1.92
    EV+ 4%
    3.79
    3.68

    Odds updated 3 Sept, 05:36

    Odds movement

    1+5 %
    53 %48 %

    1.831.92

    X-2 %
    27 %22 %

    3.863.79

    2-7 %
    27 %22 %

    3.943.68

    Pinnacle · 4 recorded price levels · 30/08/2026 → 03/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Sparta Rotterdam 1Draw 2PEC Zwolle 3
    Goals: 47 (⌀ 1,8)

    Head-to-head based on Eredivisie data since 2022.

    Key facts

    • PEC Zwolle dominate this fixture historically: 3 wins to 1 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    Sparta Rotterdam
    PEC Zwolle
    When goals are scored and conceded 2026
    Sparta Rotterdam (77)
    PEC Zwolle (48)
    Pass networks

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

    Sparta Rotterdam
    Bruno Martins Indi: 161 passningar, xT 0.25IndiMarvin Young: 154 passningar, xT 0.22YoungNick Verschuren: 146 passningar, xT 0.05VerschurenBas Kuipers: 142 passningar, xT 0.94KuipersFilip Bednarek: 132 passningar, xT 0.08BednarekLushendry Martes: 129 passningar, xT 1.24MartesJulian Baas: 117 passningar, xT 0.1BaasAyoni Santos: 71 passningar, xT 0.4SantosShunsuke Mito: 70 passningar, xT 0.14MitoJens Toornstra: 65 passningar, xT 0.31ToornstraMitchell van Bergen: 61 passningar, xT 0.37Bergen
    PEC Zwolle
    Simon Graves: 132 passningar, xT 0.3GravesJasper Schendelaar: 123 passningar, xT 0.18SchendelaarNick Viergever: 116 passningar, xT 0.13ViergeverTobias Sommer Sørensen: 86 passningar, xT 0.13SørensenRyan Jared Thomas: 86 passningar, xT 0.29ThomasOlivier Aertssen: 83 passningar, xT 0.09AertssenSherel Floranus: 50 passningar, xT 0.06FloranusThijs Oosting: 50 passningar, xT 0.03OostingKoen Kostons: 49 passningar, xT 0.07KostonsDylan Mbayo: 48 passningar, xT 0.42MbayoDamian Van Der Haar: 35 passningar, xT 0.2Haar
    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.

    Sparta Rotterdam
    Bruno Martins Indi: 161 passningar, xT 0.25IndiMarvin Young: 154 passningar, xT 0.22YoungNick Verschuren: 146 passningar, xT 0.05VerschurenBas Kuipers: 142 passningar, xT 0.94KuipersFilip Bednarek: 132 passningar, xT 0.08BednarekLushendry Martes: 129 passningar, xT 1.24MartesJulian Baas: 117 passningar, xT 0.1BaasAyoni Santos: 71 passningar, xT 0.4SantosShunsuke Mito: 70 passningar, xT 0.14MitoJens Toornstra: 65 passningar, xT 0.31ToornstraMitchell van Bergen: 61 passningar, xT 0.37Bergen
    PEC Zwolle
    Simon Graves: 132 passningar, xT 0.3GravesJasper Schendelaar: 123 passningar, xT 0.18SchendelaarNick Viergever: 116 passningar, xT 0.13ViergeverTobias Sommer Sørensen: 86 passningar, xT 0.13SørensenRyan Jared Thomas: 86 passningar, xT 0.29ThomasOlivier Aertssen: 83 passningar, xT 0.09AertssenSherel Floranus: 50 passningar, xT 0.06FloranusThijs Oosting: 50 passningar, xT 0.03OostingKoen Kostons: 49 passningar, xT 0.07KostonsDylan Mbayo: 48 passningar, xT 0.42MbayoDamian Van Der Haar: 35 passningar, xT 0.2Haar

    The teams in numbers

    PerformanceSparta RotterdamPEC Zwolle
    Points43
    xPoints3.54.6
    xG per match1.21.1
    xGA per match2.12.1
    xG within 8s of winning the ball0.170.25
    xGA within 8s of losing the ball0.320.29
    Playing styleSparta RotterdamPEC Zwolle
    Build-up efficiency0.330.26
    Field tilt0.380.26
    xT per match1.30.71
    xTA per match1.31.3
    Won balls, offensive half2426
    Pressing intensity0.250.27
    Pressing efficiency0.260.28
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1411
    Entries into the box against1418
    Pass completion %0.770.67
    Pass completion % under pressure0.680.62
    Passes per match341230
    Passes against per match365444
    Switches of play per match32.916.2
    Long balls per match4329
    Set piecesSparta RotterdamPEC Zwolle
    xG from free kicks0.050
    Corners per match4.73.4
    Corners against per match7.46.9
    xG per corner0.040.01
    xGA per corner against0.070.02
    First touch, offensive corners %0.580.5
    First touch, defensive corners %0.60.43
    OtherSparta RotterdamPEC Zwolle
    Throw-in control0.840.67
    The goalkeepersFilip Bednarek (Sparta Rotterdam)Jasper Schendelaar (PEC Zwolle)
    Saves1018
    Save %59%72%
    xG prevented27%44%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Sparta Rotterdam vs PEC Zwolle according to our model?

    The model gives Sparta Rotterdam a 52% win probability. Full 1X2 picture: Sparta Rotterdam 52%, draw 27%, PEC Zwolle 21%.

    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 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.