Eerste Divisie11°14,7 mm26 km/h

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    NAC BredaNAC BredaPossession & high press
    vs
    MVV MaastrichtMVV MaastrichtPossession control
    The model's lean: 1 · NAC Breda (53%)Best value by the model: 2 · MVV Maastricht @ 7.80 (+61 %)

    NAC Breda vs MVV Maastricht · Eerste Divisie

    1 · NAC Breda 53%X 26%21% MVV Maastricht · 2

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    Analysis: NAC Breda – MVV Maastricht

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    MVV Maastricht's scoring streak of eight consecutive league matches sets an intriguing stage for their clash against NAC Breda. Despite this offensive consistency, the odds are heavily skewed in favor of the hosts. NAC Breda leads the statistical battle in several key areas, including expected goals and xPoints, yet they find themselves trailing in the actual points tally, reflecting a tendency for underperformance.

    NAC's high-pressing approach could exploit a Maastricht side that, while comfortable in possession control, has been less effective in converting possession into high-quality chances. This discrepancy is evident in their xG per match, which significantly trails Breda's 1.9. However, a sprinkle of rain is expected, which might dampen the fluidity of both teams' possession games and keep the scoreline tighter.

    Interestingly, the model's 53% probability for a NAC Breda win contrasts sharply with the generous odds on MVV Maastricht, available at 7.8 with Betsafe and Nordicbet. The odds suggest a much lower chance of an away victory than the model's assessment, marking it a potentially lucrative option for bettors who believe in Maastricht's attacking persistence.

    The head-to-head record since 2023, albeit in a small sample of two games, shows an even split. Breda's home advantage and statistical edge suggest they should come out on top, yet their actual form hints at vulnerability. The most likely outcomes reflect a narrow home win or a 1-1 draw, with scoring on both sides anticipated.

    For those inclined to take a calculated risk, MVV Maastricht at 7.8 offers an enticing value play. While NAC Breda holds the upper hand on paper, if Maastricht can continue their scoring run, there’s more than just a slim hope of an upset on the cards.

    NAC BredaNAC Breda
    Form LLWWD
    League ranking xG #2xGA #5xT #7xP/match #6Points #8
    Key players
    • Jan Van Den BerghCBxG 0.18 · xT 0.15
    • Kamal Deen SowahRWxG 0.11 · xT 0.19
    • Mohamed NassohCAMxG 0.20 · xT 0.22
    MVV MaastrichtMVV Maastricht
    Form WDLWL
    League ranking xG #19xGA #7xT #20xP/match #15Points #3
    Key players
    • Finn Jesper DickeCBxG 0.08 · xT 0.13
    • Elias Sierra-CappellettiCMxG 0.09 · xT 0.01
    • Olivier DumontRWxG 0.17 · xT 0.08

    Match prediction: NAC Breda – MVV Maastricht

    Predicted score matrix

    MVV Maastricht →
    NAC Breda →
    0
    1
    2
    3
    4+
    0
    0–05.5%
    0–15.5%
    0–23.2%
    0–31.2%
    0–4+0.4%
    1
    1–09.3%
    1–111.0%
    1–25.9%
    1–32.2%
    1–4+0.8%
    2
    2–08.9%
    2–19.8%
    2–25.5%
    2–32.0%
    2–4+0.7%
    3
    3–05.5%
    3–16.0%
    3–23.4%
    3–31.2%
    3–4+0.4%
    4+
    4+–03.8%
    4+–14.2%
    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. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,84–1,11
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.95EV+24%
    Over 2,557%
    @1.39

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • NAC Breda to win53%
    • Over 1.5 goals80%

    Combined probability

    45%

    Fair odds

    2.23

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

    02 · 3 legs

    Balanced

    • NAC Breda to win53%
    • Over 2.5 goals57%
    • Jannes Van Hecke 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 score57%
    • Over 2.5 goals57%
    • Jannes Van Hecke to score23%
    • Maximilien Balard to be booked20%

    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 · MVV Maastricht21% probability@7.80BetsafeEV+61%reference odds
    • 2 · MVV Maastricht21% probability@7.80NordicbetEV+61%reference odds
    • 2 · MVV Maastricht21% probability@7.50LeoVegasEV+55%reference odds
    Bookmaker1 · NAC BredaX2 · MVV Maastricht
    Betsafe1.34
    EV+ 24%
    4.80
    EV+ 61%
    7.80
    LeoVegas1.30
    EV+ 36%
    5.25
    EV+ 55%
    7.50
    Nordicbet1.34
    EV+ 24%
    4.80
    EV+ 61%
    7.80

    Odds updated 4 Oct, 15:36

    Odds movement

    1-1 %
    73 %68 %

    1.31 → 1.30

    X-3 %
    20 %15 %

    5.40 → 5.25

    2+7 %
    15 %10 %

    7.00 → 7.50

    Over 2,5-2 %
    70 %65 %

    1.38 → 1.35

    LeoVegas · 5 recorded price levels · 03/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    NAC Breda 1Draw 0MVV Maastricht 1
    Goals: 5–3 (⌀ 4)

    Head-to-head based on Eerste Divisie data since 2023.

    Key facts

    • MVV Maastricht have scored in 8 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    NAC Breda
    MVV Maastricht
    When goals are scored and conceded — 2026
    NAC Breda (19–19)
    MVV Maastricht (13–15)
    Pass networks

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

    NAC Breda
    Rio Hillen: 216 passningar, xT 0.31HillenJan Van Den Bergh: 208 passningar, xT 0.85BerghMax Balard: 172 passningar, xT 0.04BalardJannes Van Hecke: 152 passningar, xT 0.31HeckeMohamed Nassoh: 150 passningar, xT 0.45NassohLeo Greiml: 146 passningar, xT 0.15GreimlBoyd Lucassen: 145 passningar, xT 0.82LucassenMichael Robin Verrips: 131 passningar, xT 0.31VerripsFredrik Oldrup Jensen: 109 passningar, xT 0.12JensenKamal Deen Sowah: 76 passningar, xT 0.47SowahMoussa Soumano: 60 passningar, xT 0.22Soumano
    MVV Maastricht
    Finn Jesper Dicke: 288 passningar, xT 0.47DickeSven Bouland: 273 passningar, xT 0.33BoulandSil van der Wegen: 218 passningar, xT 0.24WegenDelano Asante: 193 passningar, xT 0.52AsanteLennerd Daneels: 145 passningar, xT 0.5DaneelsHugo Wentges: 132 passningar, xT 0.34WentgesElias Sierra-Cappelletti: 131 passningar, xT -0.02Sierra-CappellettiRobert Klaasen: 129 passningar, xT 0.2KlaasenOlivier Dumont: 128 passningar, xT 0.13DumontNoa El Hamdaoui: 79 passningar, xT -0.08HamdaouiMilan Hofland: 54 passningar, xT 0.16Hofland
    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.

    NAC Breda
    Rio Hillen: 216 passningar, xT 0.31HillenJan Van Den Bergh: 208 passningar, xT 0.85BerghMax Balard: 172 passningar, xT 0.04BalardJannes Van Hecke: 152 passningar, xT 0.31HeckeMohamed Nassoh: 150 passningar, xT 0.45NassohLeo Greiml: 146 passningar, xT 0.15GreimlBoyd Lucassen: 145 passningar, xT 0.82LucassenMichael Robin Verrips: 131 passningar, xT 0.31VerripsFredrik Oldrup Jensen: 109 passningar, xT 0.12JensenKamal Deen Sowah: 76 passningar, xT 0.47SowahMoussa Soumano: 60 passningar, xT 0.22Soumano
    MVV Maastricht
    Finn Jesper Dicke: 288 passningar, xT 0.47DickeSven Bouland: 273 passningar, xT 0.33BoulandSil van der Wegen: 218 passningar, xT 0.24WegenDelano Asante: 193 passningar, xT 0.52AsanteLennerd Daneels: 145 passningar, xT 0.5DaneelsHugo Wentges: 132 passningar, xT 0.34WentgesElias Sierra-Cappelletti: 131 passningar, xT -0.02Sierra-CappellettiRobert Klaasen: 129 passningar, xT 0.2KlaasenOlivier Dumont: 128 passningar, xT 0.13DumontNoa El Hamdaoui: 79 passningar, xT -0.08HamdaouiMilan Hofland: 54 passningar, xT 0.16Hofland

    The teams in numbers

    PerformanceNAC BredaMVV Maastricht
    Points1416
    xPoints13.310.1
    xG per match1.91.1
    xGA per match1.21.2
    xG within 8s of winning the ball0.280.17
    xGA within 8s of losing the ball0.160.12
    Playing styleNAC BredaMVV Maastricht
    Build-up efficiency0.30.3
    Field tilt0.690.56
    xT per match1.40.88
    xTA per match1.10.9
    Won balls, offensive half3327
    Pressing intensity0.210.24
    Pressing efficiency0.350.35
    Pressing efficiency, offensive half0.330.3
    Entries into the box per match1710
    Entries into the box against1114
    Pass completion %0.760.76
    Pass completion % under pressure0.710.72
    Passes per match400377
    Passes against per match271318
    Switches of play per match27.631.9
    Long balls per match4045
    Set piecesNAC BredaMVV Maastricht
    xG from free kicks0.140.02
    Corners per match74.1
    Corners against per match3.14.4
    xG per corner0.050.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.430.21
    First touch, defensive corners %0.610.34
    OtherNAC BredaMVV Maastricht
    Throw-in control0.770.73
    The goalkeepersMichael Robin Verrips (NAC Breda)Hugo Wentges (MVV Maastricht)
    Saves2217
    Save %55%55%
    xG prevented40%43%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins NAC Breda vs MVV Maastricht according to our model?

    The model gives NAC Breda a 53% win probability. Full 1X2 picture: NAC Breda 53%, draw 26%, MVV Maastricht 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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.