2. BundesligaRudolf-Harbig-Stadion, Dresden18°5,2 mm18 km/h

    Läs på svenska
    Dynamo DresdenDynamo DresdenPossession control
    12
    BochumBochumPossession control
    The model's lean: 1 · Dynamo Dresden (42%)Best value by the model: Under 2,5 @ 2.20 (+8 %)

    Dynamo DresdenBochum · 2. Bundesliga

    1 · Dynamo Dresden 42%X 29%29% Bochum · 2

    Analysis: Dynamo DresdenBochum

    Anna Karlsson · · A data-driven preview · How the predictions work

    Dynamo Dresden holds a psychological edge with two wins in as many head-to-head clashes against Bochum since 2023, but the sample is too scant to overshadow current form and expected goals. The hosts are favored by the model at 42%, yet the xPoints and xG metrics suggest the visitors have been more effective, particularly in transition — Bochum's xG within eight seconds of winning the ball (0.18) is twice that of Dresden's. This suggests that while Dresden might control possession, Bochum could be lethal on the counter.

    Despite Dresden's slight home advantage, the expected goals indicate a tightly contested affair. Both teams profile similarly as possession-oriented, aiming to dictate the pace. The xG numbers per match are almost neck and neck, with Bochum edging Dresden 1.5 to 1.4. Yet, it's in defense where Bochum shines, boasting an xGA of 0.75 compared to Dresden's leaky 1.8. This could be a crucial factor, especially given the damp conditions expected to slightly suppress goal-scoring opportunities.

    The model's most likely scorelines further illustrate the anticipated balance: 1-1 at 12%, closely followed by a 1-0 win for Dresden at 10%. This aligns with the thin margin suggested by Dresden's expected goals advantage of 1.53 to 1.18. Goals are projected to be scarce, with the over 2.5 goals threshold sitting almost evenly at 51%. The weather, with its anticipated rain, also hints at a tighter game, reinforcing the value in betting on fewer goals.

    The sharp angle here is the under 2.5 goals bet, offering value across multiple platforms — Betsafe, Betsson, and Nordicbet at odds of 2.2. The model sees this as a 49% chance, presenting an 8% edge. Given the stats and the small head-to-head sample, this looks like the standout opportunity for bettors.

    Dynamo DresdenDynamo Dresden
    Form LWLWL
    League ranking xG #14xGA #11xT #15xP/match #14Points #10
    Key players
    • Jonas SternerRWBxG 0.08 · xT 0.18
    • Alexander RossipalLWBxG 0.05 · xT 0.29
    • Nicolai RappFxG 0.00 · xT -0.05
    BochumBochum
    Form DWLWL
    League ranking xG #12xGA #1xT #10xP/match #2Points #14
    Key players
    • Philipp HofmannFxG 0.27 · xT 0.03
    • Maximilian WittekLBxG 0.11 · xT 0.24
    • Karol MetsCBxG 0.00 · xT 0.08
    Final score
    12
    The model missed the outcome
    Predicted probabilities: Dynamo Dresden 42% · Draw 29% · Bochum 29%

    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 - Dynamo DresdenBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,34fair 8,26-35 %
    Miss
    Matchresultat - VfL BochumBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,92fair 13,76-42 %
    Miss

    Match prediction: Dynamo DresdenBochum

    Predicted score matrix

    Bochum
    Dynamo Dresden
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–17.5%
    0–24.6%
    0–31.8%
    0–4+0.7%
    1
    1–09.8%
    1–112.3%
    1–27.1%
    1–32.8%
    1–4+1.1%
    2
    2–07.8%
    2–19.2%
    2–25.4%
    2–32.1%
    2–4+0.8%
    3
    3–04.0%
    3–14.7%
    3–22.8%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.1%
    4+–12.5%
    4+–21.5%
    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
    1,531,18
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.20EV+8%
    Over 2,551%
    @1.77

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Dynamo Dresden or draw (1X)71%
    • Over 1.5 goals76%

    Combined probability

    54%

    Fair odds

    1.84

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

    02 · 3 legs

    Balanced

    • Double chance Dynamo Dresden or draw (1X)71%
    • Over 2.5 goals51%
    • Jakob Lemmer to score20%

    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 score55%
    • Over 2.5 goals51%
    • Jakob Lemmer to score20%
    • Cajetan Lenz 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 2.549% probability@2.20BetsafeEV+8%reference odds
    • Under 2.549% probability@2.20BetssonEV+8%reference odds
    • Under 2.549% probability@2.20NordicbetEV+8%reference odds
    Bookmaker1 · Dynamo DresdenX2 · Bochum
    Betsafe2.083.403.10
    Betsson2.083.403.10
    Nordicbet2.083.403.10
    Pinnacle2.21
    EV+ 6%
    3.65
    3.28

    Odds updated 5 Sept, 08:32

    Odds movement

    1+5 %
    47 %42 %

    2.112.21

    X-3 %
    28 %23 %

    3.753.65

    2+1 %
    32 %27 %

    3.243.28

    Pinnacle · 10 recorded price levels · 31/08/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Dynamo Dresden 2Draw 0Bochum 0
    Goals: 41 (⌀ 2,5)

    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).

    Dynamo Dresden
    Bochum
    When goals are scored and conceded 2026
    Dynamo Dresden (48)
    Bochum (12)
    Pass networks

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

    Dynamo Dresden
    Friedrich Müller: 226 passningar, xT 0.12MüllerThomas Leon Keller: 177 passningar, xT 0.09KellerAlexander Rossipal: 174 passningar, xT 0.77RossipalTim Schreiber: 143 passningar, xT 0.29SchreiberRobert Wagner: 125 passningar, xT 0WagnerJonas Sterner: 120 passningar, xT 0.3SternerBen Bobzien: 88 passningar, xT 0.06BobzienNicolai Rapp: 74 passningar, xT -0.1RappNiklas Hauptmann: 46 passningar, xT 0.24HauptmannVincent Vermeij: 43 passningar, xT 0.12VermeijKaan İnanoğlu: 42 passningar, xT 0.2İnanoğlu
    Bochum
    Michael Steinwender: 213 passningar, xT 0.33SteinwenderMaximilian Wittek: 175 passningar, xT 0.65WittekKarol Mets: 172 passningar, xT 0.18MetsMats Pannewig: 110 passningar, xT 0.03PannewigOliver Olsen: 101 passningar, xT 0.04OlsenEnis Çokaj: 83 passningar, xT -0.11ÇokajTimo Phil Horn: 75 passningar, xT 0.09HornBerkan Taz: 56 passningar, xT 0.55TazKōji Miyoshi: 51 passningar, xT 0.08MiyoshiGerrit Holtmann: 39 passningar, xT 0.32HoltmannPhilipp Hofmann: 34 passningar, xT -0.05Hofmann
    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.

    Dynamo Dresden
    Friedrich Müller: 226 passningar, xT 0.12MüllerThomas Leon Keller: 177 passningar, xT 0.09KellerAlexander Rossipal: 174 passningar, xT 0.77RossipalTim Schreiber: 143 passningar, xT 0.29SchreiberRobert Wagner: 125 passningar, xT 0WagnerJonas Sterner: 120 passningar, xT 0.3SternerBen Bobzien: 88 passningar, xT 0.06BobzienNicolai Rapp: 74 passningar, xT -0.1RappNiklas Hauptmann: 46 passningar, xT 0.24HauptmannVincent Vermeij: 43 passningar, xT 0.12VermeijKaan İnanoğlu: 42 passningar, xT 0.2İnanoğlu
    Bochum
    Michael Steinwender: 213 passningar, xT 0.33SteinwenderMaximilian Wittek: 175 passningar, xT 0.65WittekKarol Mets: 172 passningar, xT 0.18MetsMats Pannewig: 110 passningar, xT 0.03PannewigOliver Olsen: 101 passningar, xT 0.04OlsenEnis Çokaj: 83 passningar, xT -0.11ÇokajTimo Phil Horn: 75 passningar, xT 0.09HornBerkan Taz: 56 passningar, xT 0.55TazKōji Miyoshi: 51 passningar, xT 0.08MiyoshiGerrit Holtmann: 39 passningar, xT 0.32HoltmannPhilipp Hofmann: 34 passningar, xT -0.05Hofmann

    The teams in numbers

    PerformanceDynamo DresdenBochum
    Points33
    xPoints3.75.1
    xG per match1.41.5
    xGA per match1.80.75
    xG within 8s of winning the ball0.090.18
    xGA within 8s of losing the ball0.420.21
    Playing styleDynamo DresdenBochum
    Build-up efficiency0.30.32
    Field tilt0.490.54
    xT per match0.830.98
    xTA per match1.10.52
    Won balls, offensive half1931
    Pressing intensity0.240.23
    Pressing efficiency0.30.32
    Pressing efficiency, offensive half0.270.3
    Entries into the box per match1111
    Entries into the box against179
    Pass completion %0.810.75
    Pass completion % under pressure0.750.7
    Passes per match458417
    Passes against per match346314
    Switches of play per match19.630.2
    Long balls per match3137
    Set piecesDynamo DresdenBochum
    xG from free kicks00.01
    Corners per match7.15.7
    Corners against per match5.42.7
    xG per corner0.030.06
    xGA per corner against0.040.06
    First touch, offensive corners %0.480.24
    First touch, defensive corners %0.380.75
    OtherDynamo DresdenBochum
    Throw-in control0.810.73
    The goalkeepersTim Schreiber (Dynamo Dresden)Timo Phil Horn (Bochum)
    Saves115
    Save %61%71%
    xG prevented51%69%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Dynamo Dresden vs Bochum according to our model?

    The model gives Dynamo Dresden a 42% win probability. Full 1X2 picture: Dynamo Dresden 42%, draw 29%, Bochum 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.