BundesligaMewa Arena, Mainz19°1,0 mm15 km/h

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    MainzMainzCounter-attacks & crosses
    00
    PaderbornPaderborn
    The model's lean: 1 · Mainz (44%)Best value by the model: 2 · Paderborn @ 5.90 (+85 %)

    MainzPaderborn · Bundesliga

    1 · Mainz 44%X 24%31% Paderborn · 2

    Analysis: MainzPaderborn

    Anna Karlsson · · A data-driven preview · How the predictions work

    44% is the magic number for Mainz as they prepare to host Paderborn. The model leans towards the hosts claiming victory, yet the most likely scoreline is a 1-1 draw at 12%. While Mainz's expected goals stand at 1.54, Paderborn isn't far behind with 1.18, suggesting a competitive encounter. The small sample size of head-to-head matchups between these sides means current form and expected goals carry more weight in analysis.

    The over/under 2.5 goals market is finely balanced at 51%, with both teams to score sitting slightly higher at 55%. This implies a match leaning towards both sides finding the net, though not in a high-scoring fashion. With Mainz showing a slight edge, a narrow win like 1-0 or 2-1 seems plausible, but the data doesn't rule out a share of the spoils either.

    Punters eyeing value should consider Paderborn at odds of 5.35 with Betsafe and Betsson, or 5.3 with Nordicbet, where the model's 31% rating creates a significant edge. Though Mainz holds the statistical upper hand, the betting value resides with the visitors, offering potentially lucrative returns for those anticipating an upset.

    MainzMainz
    Form DLWLW
    League ranking xG #7xGA #9xT #7xP/match #4Points #10
    Key players
    • Sheraldo BeckerFxG 0.33 · xT 0.21
    • Phillip TietzFxG 0.43 · xT 0.03
    • Nadiem AmiriCAMxG 0.41 · xT 0.19
    PaderbornPaderborn
    Key players
    • Raphael ObermairLWxG 0.00 · xT 0.27
    • Filip BilbijaFxG 0.51 · xT 0.02
    • Mika BaurCDMxG 0.02 · xT 0.03
    • Numbers from DFB-Pokal 2025
    Final score
    00
    The model missed the outcome
    Predicted probabilities: Mainz 44% · Draw 24% · Paderborn 31%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - SC Paderborn 07Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 15,03fair 13,92+8 %
    Miss
    Matchresultat - FSV MainzBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,91fair 8,17-52 %
    Miss

    Match prediction: MainzPaderborn

    Predicted score matrix

    Paderborn
    Mainz
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–17.4%
    0–24.6%
    0–31.8%
    0–4+0.7%
    1
    1–09.8%
    1–112.3%
    1–27.0%
    1–32.8%
    1–4+1.1%
    2
    2–07.8%
    2–19.2%
    2–25.4%
    2–32.1%
    2–4+0.8%
    3
    3–04.0%
    3–14.7%
    3–22.8%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.2%
    4+–12.6%
    4+–21.5%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,541,18
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.52EV+23%
    Over 2,551%
    @1.54

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Mainz or draw (1X)71%
    • Over 1.5 goals76%

    Combined probability

    55%

    Fair odds

    1.83

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

    02 · 3 legs

    Balanced

    • Double chance Mainz or draw (1X)71%
    • Over 2.5 goals51%
    • Phillip Tietz to score32%

    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 score55%
    • Over 2.5 goals51%
    • Phillip Tietz to score32%
    • Santiago Castañeda to be booked24%

    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 · Paderborn31% probability@5.90PinnacleEV+85%reference odds
    • 2 · Paderborn31% probability@5.85BetssonEV+84%reference odds
    • 2 · Paderborn31% probability@5.80BetsafeEV+82%reference odds
    Bookmaker1 · MainzX2 · Paderborn
    Betsafe1.50
    EV+ 4%
    4.30
    EV+ 82%
    5.80
    Betsson1.52
    EV+ 4%
    4.30
    EV+ 84%
    5.85
    Nordicbet1.50
    EV+ 4%
    4.30
    EV+ 82%
    5.80
    Pinnacle1.55
    EV+ 11%
    4.56
    EV+ 85%
    5.90

    Odds updated 29 Aug, 11:37

    Odds movement

    Market signal

    The market has moved clearly towards a Mainz win since 22 August — the odds have shortened from 1.67 to 1.55 (−7%).

    1-7 %
    64 %54 %

    1.671.55

    X+13 %
    27 %17 %

    4.044.56

    2+26 %
    23 %13 %

    4.705.90

    Pinnacle · 18 recorded price levels · 22/08/2026 → 29/08/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Mainz
    When goals are scored and conceded 2025
    Mainz (4453)
    Pass networks

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

    Mainz
    Kaishu Sano: 205 passningar, xT 0.4SanoStefan Posch: 202 passningar, xT 0.2PoschNadiem Amiri: 184 passningar, xT 0.99AmiriDominik Kohr: 174 passningar, xT 0.28KohrPaul Nebel: 139 passningar, xT 0.09NebelDanny Da Costa: 136 passningar, xT 0.38CostaPhillipp Mwene: 128 passningar, xT 0.35MweneAnthony Caci: 120 passningar, xT 1.23CaciKacper Potulski: 104 passningar, xT 0.09PotulskiSilvan Widmer: 98 passningar, xT 0.55WidmerDaniel Batz: 91 passningar, xT 0.27Batz
    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.

    Mainz
    Kaishu Sano: 205 passningar, xT 0.4SanoStefan Posch: 202 passningar, xT 0.2PoschNadiem Amiri: 184 passningar, xT 0.99AmiriDominik Kohr: 174 passningar, xT 0.28KohrPaul Nebel: 139 passningar, xT 0.09NebelDanny Da Costa: 136 passningar, xT 0.38CostaPhillipp Mwene: 128 passningar, xT 0.35MweneAnthony Caci: 120 passningar, xT 1.23CaciKacper Potulski: 104 passningar, xT 0.09PotulskiSilvan Widmer: 98 passningar, xT 0.55WidmerDaniel Batz: 91 passningar, xT 0.27Batz
    The goalkeepersDaniel Batz (Mainz)Paderborn
    Saves71
    Save %73%
    xG prevented48%
    Claims0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Mainz vs Paderborn according to our model?

    The model gives Mainz a 44% win probability. Full 1X2 picture: Mainz 44%, draw 24%, Paderborn 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.