Bundesliga17°0,9 mm26 km/h

    Läs på svenska
    PaderbornPaderbornPossession control
    vs
    HoffenheimHoffenheimCounter-attacks & crosses
    The model's lean: 2 · Hoffenheim (44%)Best value by the model: 1 · Paderborn @ 4.22 (+36 %)

    Paderborn vs Hoffenheim · Bundesliga

    1 · Paderborn 32%X 23%44% Hoffenheim · 2

    Analysis: PaderbornHoffenheim

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

    A 44% model probability leans towards Hoffenheim's victory as they visit Paderborn, who are struggling to find form. The model's numbers reflect a clearer picture: Paderborn is lagging behind with an xG of just 0.75 per match compared to Hoffenheim's 1.7, underlining the visitors' offensive advantage. Despite Paderborn's focus on possession, Hoffenheim's counter-attacking prowess is expected to slice through their defenses, especially given the consistent xGA of 1.6 for both sides.

    Rain could dampen the goal tally slightly, but not enough to steer the game away from its over 2.5 goals lean, currently at 59%. Both teams are likely to find the net, with a 61% chance of both teams scoring. While 1-1 is the model's most likely scoreline at 11%, the visitors' superior attacking metrics suggest a 1-2 outcome at 9% is equally plausible. Paderborn's home field offers some advantage, yet their current form and statistical underperformance leave them vulnerable to Hoffenheim's strategic counters and crosses.

    Paderborn’s value proposition is striking. Despite their underdog status, odds of 4.6 with Betsafe, Betsson, and Nordicbet present a 48% edge. However, this is a risk against Hoffenheim’s clearly favorable form. For the diligent bettor, this discrepancy between market odds and model prediction highlights an intriguing opportunity, though it does not overshadow the tilt towards a Hoffenheim win.

    The encounter is more than just a clash of styles; it’s a test of efficiency versus possession. Hoffenheim’s sharper edge in xG and form suggests they will dictate the game's flow, likely resulting in a narrow triumph. Betting value lies in Paderborn’s odds, yet the smart money aligns with the model's inclination towards the visitors.

    PaderbornPaderborn
    Form DLL
    League ranking xG #17xGA #7xT #16xP/match #14Points #15
    Key players
    • Raphael ObermairLWBxG 0.02 · xT 0.21
    • Tjark SchellerCBxG 0.03 · xT 0.03
    • Gabriel VidovićLWxG 0.00 · xT -0.02
    HoffenheimHoffenheim
    Form WLLLW
    League ranking xG #9xGA #8xT #7xP/match #10Points #13
    Key players
    • Adam HložekFxG 0.57 · xT 0.06
    • Tim LemperleLWxG 0.43 · xT 0.02
    • Vladimír CoufalRWBxG 0.01 · xT 0.20

    Match prediction: PaderbornHoffenheim

    Predicted score matrix

    Hoffenheim
    Paderborn
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–17.4%
    0–26.3%
    0–33.4%
    0–4+2.0%
    1
    1–06.4%
    1–111.3%
    1–28.9%
    1–34.9%
    1–4+2.9%
    2
    2–04.8%
    2–17.8%
    2–26.3%
    2–33.4%
    2–4+2.0%
    3
    3–02.3%
    3–13.7%
    3–23.0%
    3–31.6%
    3–4+1.0%
    4+
    4+–01.1%
    4+–11.8%
    4+–21.4%
    4+–30.8%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-06%
    Expected goals
    1,421,63
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.97EV+23%
    Over 2,559%
    @1.41

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Hoffenheim or draw (X2)67%
    • Over 1.5 goals81%

    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 Hoffenheim or draw (X2)67%
    • Over 2.5 goals59%
    • Fisnik Asllani to score14%

    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 score61%
    • Over 2.5 goals59%
    • David Kinsombi to score17%
    • Bernardo Fernandes da Silva Junior to be booked23%

    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 · Paderborn32% probability@4.22PinnacleEV+36%reference odds
    • 1 · Paderborn32% probability@4.10BetsafeEV+32%reference odds
    • 1 · Paderborn32% probability@4.10BetssonEV+32%reference odds
    Bookmaker1 · PaderbornX2 · Hoffenheim
    Betsafe
    EV+ 32%
    4.10
    4.151.72
    Betsson
    EV+ 32%
    4.10
    4.151.72
    Nordicbet
    EV+ 32%
    4.10
    4.151.72
    Pinnacle
    EV+ 36%
    4.22
    EV+ 4%
    4.43
    1.74

    Odds updated 20 Sept, 11:35

    Odds movement

    1-5 %
    25 %20 %

    4.434.22

    X0 %
    24 %19 %

    4.424.43

    2+6 %
    59 %54 %

    1.651.74

    Pinnacle · 14 recorded price levels · 12/09/2026 → 20/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Paderborn
    Hoffenheim
    When goals are scored and conceded 2026
    Paderborn (04)
    Hoffenheim (67)
    Pass networks

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

    Paderborn
    Tjark Scheller: 165 passningar, xT 0.07SchellerMattes Hansen: 162 passningar, xT 0.23HansenJano ter Horst: 136 passningar, xT 0.28HorstNahuel Nicolas Noll: 133 passningar, xT 0.24NollSantiago Castañeda: 119 passningar, xT -0.05CastañedaGabriel Vidović: 102 passningar, xT -0.1VidovićRaphael Obermair: 90 passningar, xT 0.61ObermairLaurin Curda: 72 passningar, xT 0.55CurdaLaurin Ulrich: 64 passningar, xT -0.05UlrichMarvin Pieringer: 45 passningar, xT 0.09PieringerStefano Marino: 32 passningar, xT 0.11Marino
    Hoffenheim
    Leon Avdullahu: 155 passningar, xT 0.28AvdullahuAlbian Hajdari: 140 passningar, xT 0.55HajdariVladimír Coufal: 132 passningar, xT 0.59CoufalWouter Burger: 103 passningar, xT 0.19BurgerOzan Kabak: 96 passningar, xT 0.27KabakMats Rots: 96 passningar, xT 0.44RotsOliver Baumann: 81 passningar, xT 0.21BaumannAdam Daghim: 53 passningar, xT 0.21DaghimTim Lemperle: 43 passningar, xT -0.03LemperleAdam Hložek: 41 passningar, xT 0.05HložekPatrick Wimmer: 41 passningar, xT 0.45Wimmer
    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.

    Paderborn
    Tjark Scheller: 165 passningar, xT 0.07SchellerMattes Hansen: 162 passningar, xT 0.23HansenJano ter Horst: 136 passningar, xT 0.28HorstNahuel Nicolas Noll: 133 passningar, xT 0.24NollSantiago Castañeda: 119 passningar, xT -0.05CastañedaGabriel Vidović: 102 passningar, xT -0.1VidovićRaphael Obermair: 90 passningar, xT 0.61ObermairLaurin Curda: 72 passningar, xT 0.55CurdaLaurin Ulrich: 64 passningar, xT -0.05UlrichMarvin Pieringer: 45 passningar, xT 0.09PieringerStefano Marino: 32 passningar, xT 0.11Marino
    Hoffenheim
    Leon Avdullahu: 155 passningar, xT 0.28AvdullahuAlbian Hajdari: 140 passningar, xT 0.55HajdariVladimír Coufal: 132 passningar, xT 0.59CoufalWouter Burger: 103 passningar, xT 0.19BurgerOzan Kabak: 96 passningar, xT 0.27KabakMats Rots: 96 passningar, xT 0.44RotsOliver Baumann: 81 passningar, xT 0.21BaumannAdam Daghim: 53 passningar, xT 0.21DaghimTim Lemperle: 43 passningar, xT -0.03LemperleAdam Hložek: 41 passningar, xT 0.05HložekPatrick Wimmer: 41 passningar, xT 0.45Wimmer

    The teams in numbers

    PerformancePaderbornHoffenheim
    Points13
    xPoints2.74.2
    xG per match0.751.7
    xGA per match1.61.6
    xG within 8s of winning the ball0.150.31
    xGA within 8s of losing the ball0.220.27
    Playing stylePaderbornHoffenheim
    Build-up efficiency0.320.31
    Field tilt0.430.68
    xT per match0.771.4
    xTA per match1.41.1
    Won balls, offensive half3032
    Pressing intensity0.250.24
    Pressing efficiency0.310.32
    Pressing efficiency, offensive half0.230.29
    Entries into the box per match1021
    Entries into the box against1712
    Pass completion %0.770.74
    Pass completion % under pressure0.720.68
    Passes per match402368
    Passes against per match386312
    Switches of play per match23.523.2
    Long balls per match3130
    Set piecesPaderbornHoffenheim
    xG from free kicks0.030.03
    Corners per match3.47.2
    Corners against per match7.45.2
    xG per corner0.010.01
    xGA per corner against0.010.08
    First touch, offensive corners %0.10.5
    First touch, defensive corners %0.730.44
    OtherPaderbornHoffenheim
    Throw-in control0.850.72
    The goalkeepersNahuel Nicolas Noll (Paderborn)Oliver Baumann (Hoffenheim)
    Saves139
    Save %77%60%
    xG prevented70%61%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Paderborn vs Hoffenheim according to our model?

    The model gives Hoffenheim a 44% win probability. Full 1X2 picture: Paderborn 32%, draw 23%, Hoffenheim 44%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.