2. BundesligaVonovia Ruhrstadion, Bochum11°8,2 mm40 km/h

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    BochumBochumPossession control
    1–1
    WolfsburgWolfsburgPossession control
    The model's lean: 1 · Bochum (40%)

    Bochum vs Wolfsburg · 2. Bundesliga

    1 · Bochum 40%X 27%34% Wolfsburg · 2

    Prediction summary

    Final score 1–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Bochum vs Wolfsburg (2. Bundesliga, Friday, 23 October 2026): Bochum win 40%, draw 27%, Wolfsburg win 34%. Expected goals (xG): Bochum 1.43, Wolfsburg 1.56. Most likely score: 1-1 (12%). Over 2.5 goals 57%, both teams to score 60%. Double chance: Bochum or draw 66%, Wolfsburg or draw 60%. Prediction updated Friday, 16 October 2026.

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    Analysis: Bochum – Wolfsburg

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

    Though Wolfsburg has the statistical edge, the value play might lie with the hosts. At odds of 3.25 with Betsafe, LeoVegas, and Nordicbet, backing Bochum offers a 29% edge based on the model's 40% win probability. For those seeking value, this represents a strategic opportunity. The tension between form and potential value makes this matchup intriguing, with a slight nod to a narrow Bochum victory, perhaps 2-1, but a strong case for wagering on the underdog.

    Bochum's losing streak of three games sets a precarious stage as they face Wolfsburg, a team currently sitting eight points clear. The odds may tilt slightly towards the hosts with a model probability of 40%, but Wolfsburg's record and higher expected goals per match (2.0 vs. Bochum's 1.4) suggest a more nuanced picture. It’s a showdown of possession styles, with both teams inclined to control the ball—yet neither has managed to convert possession into consistent victories recently.

    Wolfsburg’s advantage in points and expected points underscores their form superiority. However, their expected goals against (xGA) per match is slightly higher than Bochum's, revealing potential vulnerabilities in their defense. While Bochum has conceded fewer expected goals (1.4 vs. Wolfsburg's 1.5), their inability to capitalize on chances is evident in their recent results. This defensive edge might play a critical role, especially under the anticipated rainy conditions, which tend to suppress goal-scoring opportunities.

    The most likely scoreline of 1-1 at 12% reflects the balanced interplay of strengths and weaknesses. While a 1-2 outcome for the visitors follows closely at 9%, suggesting they could exploit Bochum's recent defensive lapses. The high probability of over 2.5 goals at 57% and both teams to score at 60% indicate a game where defenses might be tested, despite the rain.

    BochumBochum
    Form WDLLL
    League ranking xG #14xGA #7xT #8xP/match #15Points #16
    Key players
    • Maximilian WittekLWBxG 0.05 · xT 0.20
    • Mats PannewigCMxG 0.16 · xT 0.06
    • Karol MetsCBxG 0.00 · xT 0.15
    WolfsburgWolfsburg
    Form DLWDW
    League ranking xG #1xGA #9xT #1xP/match #3Points #3
    Key players
    • Joakim MæhleLBxG 0.10 · xT 0.18
    • Vini SouzaCDMxG 0.04 · xT 0.06
    • Fabian ReeseLWxG 0.36 · xT 0.33
    Final score
    1 – 1
    The model missed the outcome
    Predicted probabilities: Bochum 40% · Draw 27% · Wolfsburg 34%

    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 - VfL WolfsburgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,23fair 7,67-45 %
    Miss

    Match prediction: Bochum – Wolfsburg

    Predicted score matrix

    Wolfsburg →
    Bochum →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–17.5%
    0–26.2%
    0–33.2%
    0–4+1.8%
    1
    1–06.8%
    1–111.5%
    1–28.8%
    1–34.6%
    1–4+2.5%
    2
    2–05.1%
    2–18.0%
    2–26.3%
    2–33.3%
    2–4+1.8%
    3
    3–02.4%
    3–13.8%
    3–23.0%
    3–31.6%
    3–4+0.9%
    4+
    4+–01.2%
    4+–11.9%
    4+–21.5%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-07%
    Expected goals
    1,43–1,56
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.75EV+16%
    Over 2,557%
    @1.40

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Bochum or draw (1X)60%
    • Over 1.5 goals80%

    Combined probability

    47%

    Fair odds

    2.11

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

    02 · 3 legs

    Balanced

    • Double chance Bochum or draw (1X)60%
    • Over 2.5 goals57%
    • Philipp Hofmann to score25%

    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 goals57%
    • Philipp Hofmann to score25%
    • 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+).

    • 1 · Bochum40% probability@3.46PinnacleEV+37%reference odds
    • 1 · Bochum40% probability@3.15BetsafeEV+25%reference odds
    • 1 · Bochum40% probability@3.15LeoVegasEV+25%reference odds
    Bookmaker1 · BochumX2 · Wolfsburg
    Betsafe
    EV+ 25%
    3.15
    3.701.98
    LeoVegas
    EV+ 25%
    3.15
    EV+ 1%
    3.80
    2.00
    Nordicbet
    EV+ 25%
    3.15
    3.701.98
    Pinnacle
    EV+ 37%
    3.46
    EV+ 14%
    4.27
    1.96

    Odds updated 23 Oct, 12:36

    Odds movement

    Market signal

    The market has moved clearly towards an Wolfsburg win since 21 October — the odds have shortened from 2.09 to 1.96 (−6%).

    1+8 %
    32 %27 %

    3.19 → 3.46

    X+10 %
    26 %21 %

    3.87 → 4.27

    2-6 %
    50 %45 %

    2.09 → 1.96

    Pinnacle · 12 recorded price levels · 21/10/2026 → 23/10/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Bochum have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Bochum
    Wolfsburg
    When goals are scored and conceded — 2026
    Bochum (5–9)
    Wolfsburg (22–13)
    Pass networks

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

    Bochum
    Michael Steinwender: 345 passningar, xT 0.35SteinwenderKarol Mets: 327 passningar, xT 0.94MetsMaximilian Wittek: 255 passningar, xT 0.8WittekSean Desmond Klaiber: 174 passningar, xT 0.44KlaiberTom Meyer: 160 passningar, xT 0.17MeyerTimo Phil Horn: 153 passningar, xT 0.31HornMats Pannewig: 138 passningar, xT 0.12PannewigKōji Miyoshi: 137 passningar, xT 0.12MiyoshiChristian Rasmussen: 78 passningar, xT 1.2RasmussenCharlie Michael Patino: 77 passningar, xT -0.04PatinoGerrit Holtmann: 76 passningar, xT 0.17Holtmann
    Wolfsburg
    Hauke Finn Wahl: 281 passningar, xT 0.33WahlJoakim Mæhle: 221 passningar, xT 0.66MæhleCleiton Santana dos Santos: 184 passningar, xT 0.18SantosVini Souza: 183 passningar, xT 0.16SouzaJakub Zieliński: 159 passningar, xT 0.07ZielińskiMuhammed Mehmet Damar: 139 passningar, xT 0.47DamarAlexander Bernhardsson: 114 passningar, xT 0.97BernhardssonFabian Reese: 111 passningar, xT 1.56ReeseKilian Fischer: 109 passningar, xT 0.07FischerSael Kumbedi: 92 passningar, xT 0.23KumbediMathys Angély: 89 passningar, xT 0.1Angély
    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: 345 passningar, xT 0.35SteinwenderKarol Mets: 327 passningar, xT 0.94MetsMaximilian Wittek: 255 passningar, xT 0.8WittekSean Desmond Klaiber: 174 passningar, xT 0.44KlaiberTom Meyer: 160 passningar, xT 0.17MeyerTimo Phil Horn: 153 passningar, xT 0.31HornMats Pannewig: 138 passningar, xT 0.12PannewigKōji Miyoshi: 137 passningar, xT 0.12MiyoshiChristian Rasmussen: 78 passningar, xT 1.2RasmussenCharlie Michael Patino: 77 passningar, xT -0.04PatinoGerrit Holtmann: 76 passningar, xT 0.17Holtmann
    Wolfsburg
    Hauke Finn Wahl: 281 passningar, xT 0.33WahlJoakim Mæhle: 221 passningar, xT 0.66MæhleCleiton Santana dos Santos: 184 passningar, xT 0.18SantosVini Souza: 183 passningar, xT 0.16SouzaJakub Zieliński: 159 passningar, xT 0.07ZielińskiMuhammed Mehmet Damar: 139 passningar, xT 0.47DamarAlexander Bernhardsson: 114 passningar, xT 0.97BernhardssonFabian Reese: 111 passningar, xT 1.56ReeseKilian Fischer: 109 passningar, xT 0.07FischerSael Kumbedi: 92 passningar, xT 0.23KumbediMathys Angély: 89 passningar, xT 0.1Angély

    The teams in numbers

    PerformanceBochumWolfsburg
    Points715
    xPoints9.612.6
    xG per match1.42
    xGA per match1.41.5
    xG within 8s of winning the ball0.20.28
    xGA within 8s of losing the ball0.240.21
    Playing styleBochumWolfsburg
    Build-up efficiency0.320.31
    Field tilt0.560.57
    xT per match1.11.4
    xTA per match0.80.99
    Won balls, offensive half3123
    Pressing intensity0.240.23
    Pressing efficiency0.330.31
    Pressing efficiency, offensive half0.320.27
    Entries into the box per match1115
    Entries into the box against1213
    Pass completion %0.770.79
    Pass completion % under pressure0.730.74
    Passes per match423410
    Passes against per match327300
    Switches of play per match22.621.4
    Long balls per match3534
    Set piecesBochumWolfsburg
    xG from free kicks0.090.04
    Corners per match5.86.6
    Corners against per match4.47.1
    xG per corner0.050.04
    xGA per corner against0.080.04
    First touch, offensive corners %0.30.37
    First touch, defensive corners %0.80.49
    OtherBochumWolfsburg
    Throw-in control0.750.76
    The goalkeepersTimo Phil Horn (Bochum)Jakub Zieliński (Wolfsburg)
    Saves2023
    Save %69%66%
    xG prevented47%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bochum vs Wolfsburg according to our model?

    The model gives Bochum a 40% win probability. Full 1X2 picture: Bochum 40%, draw 27%, Wolfsburg 34%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% according to the model.

    How many goals are expected in Bochum vs Wolfsburg?

    The model expects 1.43 goals (xG) for Bochum and 1.56 for Wolfsburg, 2.99 in total.

    What does the model say about double chance?

    Bochum or draw (1X) 66%, Wolfsburg or draw (X2) 60% and no draw (12) 73%.

    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.