2. BundesligaVonovia Ruhrstadion, Bochum19°0,1 mm7 km/hUpdated

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    BochumBochumLow block & direct
    vs
    The model's lean: 1 · Bochum (43%)
    Hertha BerlinHertha BerlinPossession control

    BochumHertha Berlin · 2. Bundesliga

    1 · Bochum 43%X 28%29% Hertha Berlin · 2
    BochumBochum
    Form LWDDW
    League ranking xG #8xGA #6xT #13xP/match #3Points #10
    Key players
    • Philipp HofmannFxG 0.31 · xT 0
    • Maximilian WittekLWBxG 0.06 · xT 0.16
    • Gerrit HoltmannLWxG 0.2 · xT 0.23
    Hertha BerlinHertha Berlin
    Form DLLWL
    League ranking xG #10xGA #15xT #12xP/match #10Points #7
    Key players
    • Fabian ReeseLWxG 0.32 · xT 0.26
    • Paul SeguinCMxG 0.06 · xT 0.06
    • Luca SchulerFxG 0.42 · xT -0.02

    Match prediction: BochumHertha Berlin

    Predicted score matrix

    Hertha Berlin
    Bochum
    0
    1
    2
    3
    4+
    0
    0–07.1%
    0–17.7%
    0–24.8%
    0–31.9%
    0–4+0.8%
    1
    1–09.7%
    1–112.4%
    1–27.3%
    1–32.9%
    1–4+1.1%
    2
    2–07.5%
    2–19.1%
    2–25.4%
    2–32.2%
    2–4+0.8%
    3
    3–03.8%
    3–14.5%
    3–22.7%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.0%
    4+–12.4%
    4+–21.4%
    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. 4.0-18%
    5. 5.2-08%
    Expected goals
    1,501,20
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    Over 2,551%

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Bochum43% probability@2.32PinnacleEV+0%
    Bookmaker1 · BochumX2 · Hertha Berlin
    Pinnacle
    EV+ 0%
    2.32
    3.532.89

    Odds updated 4 Aug, 09:03

    Analysis: BochumHertha Berlin

    Sofia Andersson · · How the predictions work

    Bochum, with 44 points and a home advantage, find themselves in a peculiar situation. Despite trailing Hertha BSC Berlin by seven points, the underlying metrics tilt the scales in Bochum's favor. Their xPoints suggest they should be sitting on 53.0, a figure that stands firm against Hertha's calculated 46.4. This discrepancy hints at potential undervaluation in Bochum's current standing. Add to that, their xG per match of 1.5 comfortably eclipses Hertha's 1.4, suggesting a propensity to carve out more scoring opportunities.

    Bochum's playing style, characterized by low defense and direct play, might just be the kryptonite to Hertha's possession-based approach. In their head-to-head since 2023, Bochum hasn't tasted defeat, clinching a win and a draw. Such historical resilience against Hertha cannot be ignored, especially when you consider the psychological edge that comes with it.

    43% — that's the probability the model assigns to a Bochum victory, with the most likely outcomes being either a 1-1 draw or a 1-0 win for the hosts. An over 2.5 goals chance hangs at 51%, a slight edge that doesn't quite scream a goal fest but suggests there's room for excitement. Yet, with both teams to score pegged at 55%, a close contest with goals from both sides remains on the cards.

    Hertha BSC Berlin, while possessing more points, faces an uphill battle in dismantling Bochum's tactical setup. Their better points tally is undermined by their xGA per match of 1.7, a defensive frailty Bochum will be keen to exploit. The odds, however, might just be your best guide here. Pinnacle offers Bochum at 2.32 for the home win, echoing the model's 43% probability. It's not a massive edge, but for those with a penchant for value, it might be the sweetest spot to land your bet. Expect a tight affair, possibly ending 1-1, with that over 2.5 goals mark remaining a tantalizing prospect.

    Statistics

    Head-to-head

    2 matches
    Bochum 1Draw 1Hertha Berlin 0
    Goals: 43 (⌀ 3,5)

    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
    Hertha Berlin
    When goals are scored and conceded 2025
    Bochum (4947)
    Hertha Berlin (4744)
    Pass networks

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

    Bochum
    Matus Bero: 176 passningar, xT 0.23BeroOliver Olsen: 162 passningar, xT 0.3OlsenNoah Loosli: 140 passningar, xT 0.18LoosliErhan Mašović: 137 passningar, xT 0.16MašovićPhilipp Strompf: 121 passningar, xT 0.31StrompfLeandro Morgalla: 116 passningar, xT 0.11MorgallaTimo Phil Horn: 89 passningar, xT 0.3HornGerrit Holtmann: 68 passningar, xT 0.59HoltmannMats Pannewig: 63 passningar, xT 0.01PannewigPhilipp Hofmann: 55 passningar, xT -0.06HofmannKōji Miyoshi: 54 passningar, xT 0.14Miyoshi
    Hertha Berlin
    Linus Gechter: 191 passningar, xT 0.19GechterTjark Ernst: 135 passningar, xT 0.05ErnstMárton Dárdai: 134 passningar, xT 0.07DárdaiPaul Seguin: 131 passningar, xT 0.13SeguinMichael Cuisance: 127 passningar, xT 0.2CuisanceFabian Reese: 103 passningar, xT 1.05ReeseMichal Karbownik: 81 passningar, xT 0.17KarbownikJosip Brekalo: 69 passningar, xT 0.47BrekaloNiklas Kolbe: 63 passningar, xT 0.15KolbeMarten Winkler: 61 passningar, xT 0.07WinklerJulian Eitschberger: 59 passningar, xT 0.57Eitschberger
    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
    Matus Bero: 176 passningar, xT 0.23BeroOliver Olsen: 162 passningar, xT 0.3OlsenNoah Loosli: 140 passningar, xT 0.18LoosliErhan Mašović: 137 passningar, xT 0.16MašovićPhilipp Strompf: 121 passningar, xT 0.31StrompfLeandro Morgalla: 116 passningar, xT 0.11MorgallaTimo Phil Horn: 89 passningar, xT 0.3HornGerrit Holtmann: 68 passningar, xT 0.59HoltmannMats Pannewig: 63 passningar, xT 0.01PannewigPhilipp Hofmann: 55 passningar, xT -0.06HofmannKōji Miyoshi: 54 passningar, xT 0.14Miyoshi
    Hertha Berlin
    Linus Gechter: 191 passningar, xT 0.19GechterTjark Ernst: 135 passningar, xT 0.05ErnstMárton Dárdai: 134 passningar, xT 0.07DárdaiPaul Seguin: 131 passningar, xT 0.13SeguinMichael Cuisance: 127 passningar, xT 0.2CuisanceFabian Reese: 103 passningar, xT 1.05ReeseMichal Karbownik: 81 passningar, xT 0.17KarbownikJosip Brekalo: 69 passningar, xT 0.47BrekaloNiklas Kolbe: 63 passningar, xT 0.15KolbeMarten Winkler: 61 passningar, xT 0.07WinklerJulian Eitschberger: 59 passningar, xT 0.57Eitschberger

    The teams in numbers

    PerformanceBochumHertha Berlin
    Points4451
    xPoints5346.4
    xG per match1.51.4
    xGA per match1.41.7
    xG within 8s of winning the ball0.230.23
    xGA within 8s of losing the ball0.230.22
    Playing styleBochumHertha Berlin
    Build-up efficiency0.320.31
    Field tilt0.50.48
    xT per match0.890.93
    xTA per match0.961.1
    Won balls, offensive half2625
    Pressing intensity0.220.23
    Pressing efficiency0.280.29
    Pressing efficiency, offensive half0.350.34
    Entries into the box per match1311
    Entries into the box against1314
    Pass completion %0.740.76
    Pass completion % under pressure0.690.7
    Passes per match311340
    Passes against per match385362
    Switches of play per match26.124.1
    Long balls per match3832
    Set piecesBochumHertha Berlin
    xG from free kicks0.090.1
    Corners per match54.5
    Corners against per match5.95.9
    xG per corner0.080.06
    xGA per corner against0.060.07
    First touch, offensive corners %0.330.31
    First touch, defensive corners %0.50.59
    OtherBochumHertha Berlin
    Throw-in control0.710.74
    The goalkeepersTimo Phil Horn (Bochum)Tjark Ernst (Hertha Berlin)
    Saves111101
    Save %71%71%
    xG prevented46%40%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Bochum vs Hertha Berlin according to our model?

    The model gives Bochum a 43% win probability. Full 1X2 picture: Bochum 43%, draw 28%, Hertha Berlin 29%.

    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.