2. BundesligaHeinz-von-Heiden-Arena, Hannover18°0,4 mm25 km/h

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    Hannover 96Hannover 96Possession & high press
    vs
    BochumBochumPossession control
    The model's lean: 1 · Hannover 96 (55%)Best value by the model: Under 3,5 @ 1.67 (+8 %)

    Hannover 96 vs Bochum · 2. Bundesliga

    1 · Hannover 96 55%X 21%24% Bochum · 2

    Analysis: Hannover 96Bochum

    Marcus Johansson · · Analysis from the match model · How the predictions work

    A crucial stat dominates this matchup: Hannover 96 has a 55% probability of winning, yet they've failed to beat Bochum in their last two encounters since 2023. Despite this, the hosts are buoyed by their expected goals advantage, producing 1.9 xG per match compared to Bochum’s 1.6. Their high-pressing style could disrupt Bochum's possession control and create key scoring opportunities. However, their defensive vulnerabilities are evident, mirrored by an xGA of 1.9, in stark contrast to Bochum’s more stable 1.2 xGA.

    The most likely scorelines suggest a tight contest, with a 1-1 draw leading at 11% probability. Hannover 96’s slight edge in expected goals could tilt the balance toward a 2-1 result at 9% likelihood. While their form suggests potential, it’s balanced by Bochum's actual points tally of 7, overshadowing Hannover’s 4. Despite the apparent high chance of both teams scoring (60%), the model sees under 2.5 goals happening 42% of the time, providing a significant value angle.

    Undoubtedly, the sharpest betting edge lies in the under 2.5 goals market, available at 2.58 odds with Betsafe, Betsson, and Nordicbet. With a 9% edge, it's an attractive proposition in a match where tactical nuances might reduce the goal count.

    Hannover 96Hannover 96
    Form LLWDL
    League ranking xG #4xGA #14xT #2xP/match #15Points #15
    Key players
    • Mustapha BunduRWxG 0.27 · xT 0.44
    • Maurice NeubauerRWxG 0.09 · xT 0.09
    • Kolja OudenneLWBxG 0.17 · xT 0.22
    BochumBochum
    Form LWLWD
    League ranking xG #9xGA #3xT #6xP/match #4Points #8
    Key players
    • Maximilian WittekLBxG 0.07 · xT 0.24
    • Philipp HofmannFxG 0.38 · xT 0.01
    • Mats PannewigCMxG 0.15 · xT 0.06

    Match prediction: Hannover 96Bochum

    Predicted score matrix

    Bochum
    Hannover 96
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–16.1%
    0–24.1%
    0–31.8%
    0–4+0.8%
    1
    1–08.2%
    1–111.3%
    1–27.1%
    1–33.0%
    1–4+1.3%
    2
    2–07.3%
    2–19.4%
    2–26.1%
    2–32.6%
    2–4+1.1%
    3
    3–04.2%
    3–15.4%
    3–23.5%
    3–31.5%
    3–4+0.6%
    4+
    4+–02.6%
    4+–13.4%
    4+–22.2%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.2-07%
    5. 5.1-27%
    Expected goals
    1,721,29
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.52EV+6%
    Over 2,558%
    @1.47

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hannover 96 to win55%
    • Over 1.5 goals80%

    Combined probability

    39%

    Fair odds

    2.57

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

    02 · 3 legs

    Balanced

    • Hannover 96 to win55%
    • Over 2.5 goals58%
    • Benjamin Källman to score27%

    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 score60%
    • Over 2.5 goals58%
    • Benjamin Källman to score27%
    • Tom Meyer to be booked25%

    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 3.565% probability@1.67PinnacleEV+8%reference odds
    • Under 2.542% probability@2.52BetsafeEV+6%reference odds
    • Under 2.542% probability@2.52BetssonEV+6%reference odds
    Bookmaker1 · Hannover 96X2 · Bochum
    Betsafe1.803.853.65
    Betsson1.803.853.65
    Nordicbet1.803.853.65
    Pinnacle1.814.154.05

    Odds updated 19 Sept, 16:36

    Odds movement

    10 %
    55 %50 %

    1.821.81

    X+3 %
    26 %21 %

    4.024.15

    2+3 %
    26 %21 %

    3.944.05

    Pinnacle · 11 recorded price levels · 13/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Hannover 96 0Draw 2Bochum 0
    Goals: 11 (⌀ 1)

    Head-to-head based on 2. Bundesliga data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Hannover 96
    Bochum
    When goals are scored and conceded 2026
    Hannover 96 (58)
    Bochum (44)
    Pass networks

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

    Hannover 96
    Boris Tomiak: 233 passningar, xT 0.26TomiakBastian Allgeier: 226 passningar, xT 0.41AllgeierWaniss Taïbi: 206 passningar, xT 0.48TaïbiLeo Weinkauf: 186 passningar, xT 0.15WeinkaufMaurice Neubauer: 179 passningar, xT 0.42NeubauerKolja Oudenne: 163 passningar, xT 0.51OudenneMarcel Hartel: 151 passningar, xT 0.67HartelVirgil Ghita: 136 passningar, xT 0.31GhitaStefán Teitur Þórðarson: 113 passningar, xT 0.79ÞórðarsonJean Hugonet: 96 passningar, xT 0.21HugonetLars Timo Gindorf: 84 passningar, xT 0.36Gindorf
    Bochum
    Michael Steinwender: 332 passningar, xT 0.41SteinwenderKarol Mets: 286 passningar, xT 0.26MetsMaximilian Wittek: 269 passningar, xT 1.11WittekMats Pannewig: 182 passningar, xT 0.01PannewigTimo Phil Horn: 136 passningar, xT 0.19HornOliver Olsen: 121 passningar, xT 0.06OlsenKōji Miyoshi: 107 passningar, xT 0.11MiyoshiEnis Çokaj: 95 passningar, xT 0.02ÇokajTom Meyer: 68 passningar, xT -0.07MeyerGerrit Holtmann: 66 passningar, xT 0.41HoltmannPhilipp Hofmann: 64 passningar, xT -0.08Hofmann
    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.

    Hannover 96
    Boris Tomiak: 233 passningar, xT 0.26TomiakBastian Allgeier: 226 passningar, xT 0.41AllgeierWaniss Taïbi: 206 passningar, xT 0.48TaïbiLeo Weinkauf: 186 passningar, xT 0.15WeinkaufMaurice Neubauer: 179 passningar, xT 0.42NeubauerKolja Oudenne: 163 passningar, xT 0.51OudenneMarcel Hartel: 151 passningar, xT 0.67HartelVirgil Ghita: 136 passningar, xT 0.31GhitaStefán Teitur Þórðarson: 113 passningar, xT 0.79ÞórðarsonJean Hugonet: 96 passningar, xT 0.21HugonetLars Timo Gindorf: 84 passningar, xT 0.36Gindorf
    Bochum
    Michael Steinwender: 332 passningar, xT 0.41SteinwenderKarol Mets: 286 passningar, xT 0.26MetsMaximilian Wittek: 269 passningar, xT 1.11WittekMats Pannewig: 182 passningar, xT 0.01PannewigTimo Phil Horn: 136 passningar, xT 0.19HornOliver Olsen: 121 passningar, xT 0.06OlsenKōji Miyoshi: 107 passningar, xT 0.11MiyoshiEnis Çokaj: 95 passningar, xT 0.02ÇokajTom Meyer: 68 passningar, xT -0.07MeyerGerrit Holtmann: 66 passningar, xT 0.41HoltmannPhilipp Hofmann: 64 passningar, xT -0.08Hofmann

    The teams in numbers

    PerformanceHannover 96Bochum
    Points47
    xPoints67.6
    xG per match1.91.6
    xGA per match1.91.2
    xG within 8s of winning the ball0.140.28
    xGA within 8s of losing the ball0.560.2
    Playing styleHannover 96Bochum
    Build-up efficiency0.320.32
    Field tilt0.640.52
    xT per match1.41
    xTA per match0.860.75
    Won balls, offensive half2730
    Pressing intensity0.230.23
    Pressing efficiency0.310.32
    Pressing efficiency, offensive half0.320.3
    Entries into the box per match2211
    Entries into the box against1212
    Pass completion %0.790.76
    Pass completion % under pressure0.740.69
    Passes per match414406
    Passes against per match326347
    Switches of play per match26.326.4
    Long balls per match3536
    Set piecesHannover 96Bochum
    xG from free kicks0.120.02
    Corners per match5.64.8
    Corners against per match4.44.6
    xG per corner0.030.07
    xGA per corner against0.030.08
    First touch, offensive corners %0.810.29
    First touch, defensive corners %0.810.87
    OtherHannover 96Bochum
    Throw-in control0.780.71
    The goalkeepersLeo Weinkauf (Hannover 96)Timo Phil Horn (Bochum)
    Saves2013
    Save %80%77%
    xG prevented62%77%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hannover 96 vs Bochum according to our model?

    The model gives Hannover 96 a 55% win probability. Full 1X2 picture: Hannover 96 55%, draw 21%, Bochum 24%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.