2. BundesligaVonovia Ruhrstadion, Bochum11°17 km/h

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    BochumBochumPossession control
    vs
    Arminia BielefeldArminia BielefeldPossession control
    The model's lean: 1 · Bochum (47%)

    Bochum vs Arminia Bielefeld · 2. Bundesliga

    1 · Bochum 47%X 28%25% Arminia Bielefeld · 2

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    Analysis: Bochum – Arminia Bielefeld

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

    TEXT: Two games in the books since 2023 and Bochum have managed to avoid defeat against Arminia Bielefeld with a win and a draw. While this head-to-head record is too small a sample to draw concrete conclusions, it does hint at a slight edge for the hosts. However, when we dive into the numbers, it's clear that Bochum hold a more substantial advantage, both in current form and statistical performance.

    Bochum have accumulated more points and expected points than their rivals, a reflection of their efficient play style and defensive discipline. With expected goals (xG) sitting at 1.7 per match, they are consistently finding opportunities, while keeping a tighter defensive ship with an xGA of 1.3. Meanwhile, Bielefeld lag behind, producing only 1.2 xG per match and allowing 1.6 xGA. This defensive vulnerability could prove costly against a more controlled Bochum side.

    Rainy conditions with 13.8 mm expected could suppress open play and keep the match tighter, which aligns with the model's modest prediction of 1-1 as the most likely scoreline. While the probabilities suggest an over 2.5 goals occurrence at 51%, the weather might tip this slightly towards a lower-scoring affair. Both teams are predicted to find the net; however, a 1-0 or 2-1 result for Bochum fits the statistical narrative.

    From a betting standpoint, the most promising angle is found in backing Bochum to win outright. There is clear value here given the hosts' statistical and form edge. This is not a guarantee, but it's an informed play grounded in data — the kind that pays the bills.

    BochumBochum
    Form WLWDL
    League ranking xG #8xGA #7xT #7xP/match #7Points #10
    Key players
    • Maximilian WittekLWBxG 0.06 · xT 0.22
    • Philipp HofmannFxG 0.35 · xT -0.01
    • Christian RasmussenFxG 0.31 · xT 0.44
    Arminia BielefeldArminia Bielefeld
    Form WLDLD
    League ranking xG #16xGA #11xT #14xP/match #15Points #13
    Key players
    • Joel GrodowskiFxG 0.39 · xT 0.08
    • Marvin MehlemFxG 0.09 · xT 0.02
    • Jannik RocheltLWxG 0.03 · xT 0.13

    Match prediction: Bochum – Arminia Bielefeld

    Predicted score matrix

    Arminia Bielefeld →
    Bochum →
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–17.0%
    0–24.1%
    0–31.5%
    0–4+0.5%
    1
    1–010.2%
    1–112.1%
    1–26.6%
    1–32.5%
    1–4+0.9%
    2
    2–08.4%
    2–19.4%
    2–25.3%
    2–32.0%
    2–4+0.7%
    3
    3–04.5%
    3–15.1%
    3–22.8%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.6%
    4+–12.9%
    4+–21.6%
    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
    1,60–1,12
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.18EV+5%
    Over 2,551%
    @1.70

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Bochum to win47%
    • Over 1.5 goals76%

    Combined probability

    38%

    Fair odds

    2.63

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

    02 · 3 legs

    Balanced

    • Bochum to win47%
    • Over 2.5 goals51%
    • Philipp Hofmann to score31%

    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 score54%
    • Over 2.5 goals51%
    • Philipp Hofmann to score31%
    • Stefano Russo 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+).

    • 1 · Bochum47% probability@2.35PinnacleEV+10%reference odds
    • 1 · Bochum47% probability@2.30LeoVegasEV+8%reference odds
    • Under 2.549% probability@2.18PinnacleEV+6%reference odds
    Bookmaker1 · BochumX2 · Arminia Bielefeld
    Betsafe
    EV+ 5%
    2.25
    3.402.80
    LeoVegas
    EV+ 8%
    2.30
    3.452.75
    Nordicbet
    EV+ 5%
    2.25
    3.402.80
    Pinnacle
    EV+ 10%
    2.35
    3.512.96

    Odds updated 4 Oct, 18:36

    Statistics

    Head-to-head

    2 matches
    Bochum 1Draw 1Arminia Bielefeld 0
    Goals: 2–1 (⌀ 1,5)

    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).

    Bochum
    Arminia Bielefeld
    When goals are scored and conceded — 2026
    Bochum (5–6)
    Arminia Bielefeld (10–12)
    Pass networks

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

    Bochum
    Michael Steinwender: 359 passningar, xT 0.45SteinwenderKarol Mets: 325 passningar, xT 0.34MetsMaximilian Wittek: 272 passningar, xT 0.9WittekMats Pannewig: 167 passningar, xT -0.05PannewigKōji Miyoshi: 134 passningar, xT 0.18MiyoshiTimo Phil Horn: 129 passningar, xT 0.16HornTom Meyer: 115 passningar, xT -0.1MeyerSean Desmond Klaiber: 94 passningar, xT 0.08KlaiberOliver Olsen: 91 passningar, xT 0.05OlsenGerrit Holtmann: 73 passningar, xT 0.5HoltmannChristian Rasmussen: 72 passningar, xT 1.13Rasmussen
    Arminia Bielefeld
    Maximilian Bauer: 227 passningar, xT 0.52BauerMaximilian Großer: 213 passningar, xT 0.1GroßerStefano Russo: 203 passningar, xT 0.13RussoMarius Wörl: 161 passningar, xT 0.09WörlJonas Kersken: 141 passningar, xT 0.2KerskenHenri Koudossou: 135 passningar, xT 1.05KoudossouArne Sicker: 120 passningar, xT 0.18SickerJannik Rochelt: 88 passningar, xT 0.28RocheltTim Handwerker: 65 passningar, xT 0.19HandwerkerJoel Grodowski: 63 passningar, xT 0.37GrodowskiMarvin Mehlem: 57 passningar, xT -0.01Mehlem
    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.

    Bochum
    Michael Steinwender: 359 passningar, xT 0.45SteinwenderKarol Mets: 325 passningar, xT 0.34MetsMaximilian Wittek: 272 passningar, xT 0.9WittekMats Pannewig: 167 passningar, xT -0.05PannewigKōji Miyoshi: 134 passningar, xT 0.18MiyoshiTimo Phil Horn: 129 passningar, xT 0.16HornTom Meyer: 115 passningar, xT -0.1MeyerSean Desmond Klaiber: 94 passningar, xT 0.08KlaiberOliver Olsen: 91 passningar, xT 0.05OlsenGerrit Holtmann: 73 passningar, xT 0.5HoltmannChristian Rasmussen: 72 passningar, xT 1.13Rasmussen
    Arminia Bielefeld
    Maximilian Bauer: 227 passningar, xT 0.52BauerMaximilian Großer: 213 passningar, xT 0.1GroßerStefano Russo: 203 passningar, xT 0.13RussoMarius Wörl: 161 passningar, xT 0.09WörlJonas Kersken: 141 passningar, xT 0.2KerskenHenri Koudossou: 135 passningar, xT 1.05KoudossouArne Sicker: 120 passningar, xT 0.18SickerJannik Rochelt: 88 passningar, xT 0.28RocheltTim Handwerker: 65 passningar, xT 0.19HandwerkerJoel Grodowski: 63 passningar, xT 0.37GrodowskiMarvin Mehlem: 57 passningar, xT -0.01Mehlem

    The teams in numbers

    PerformanceBochumArminia Bielefeld
    Points75
    xPoints8.66.9
    xG per match1.71.2
    xGA per match1.31.6
    xG within 8s of winning the ball0.260.23
    xGA within 8s of losing the ball0.170.29
    Playing styleBochumArminia Bielefeld
    Build-up efficiency0.320.33
    Field tilt0.550.42
    xT per match10.83
    xTA per match0.70.79
    Won balls, offensive half3227
    Pressing intensity0.240.23
    Pressing efficiency0.310.28
    Pressing efficiency, offensive half0.290.21
    Entries into the box per match1212
    Entries into the box against1213
    Pass completion %0.770.73
    Pass completion % under pressure0.720.66
    Passes per match423324
    Passes against per match352407
    Switches of play per match27.133.8
    Long balls per match3638
    Set piecesBochumArminia Bielefeld
    xG from free kicks0.060.05
    Corners per match6.16.2
    Corners against per match4.25.7
    xG per corner0.060.03
    xGA per corner against0.110.02
    First touch, offensive corners %0.280.51
    First touch, defensive corners %0.840.52
    OtherBochumArminia Bielefeld
    Throw-in control0.730.78
    The goalkeepersTimo Phil Horn (Bochum)Jonas Kersken (Arminia Bielefeld)
    Saves1819
    Save %75%66%
    xG prevented59%39%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bochum vs Arminia Bielefeld according to our model?

    The model gives Bochum a 47% win probability. Full 1X2 picture: Bochum 47%, draw 28%, Arminia Bielefeld 25%.

    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 54% 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.