2. BundesligaVoith-Arena, Heidenheim18°4,9 mm16 km/h

    Läs på svenska
    HeidenheimHeidenheimPossession control
    53
    Dynamo DresdenDynamo DresdenPossession control
    The model's lean: 1 · Heidenheim (38%)Best value by the model: Under 2,5 @ 2.28 (+14 %)

    HeidenheimDynamo Dresden · 2. Bundesliga

    1 · Heidenheim 38%X 29%33% Dynamo Dresden · 2

    Analysis: HeidenheimDynamo Dresden

    Sofia Andersson · · The model's read on the match · How the predictions work

    A small sample of head-to-head encounters makes it hard to draw definitive conclusions, but the numbers suggest a tight contest between Heidenheim and Dynamo Dresden. With Heidenheim given a slight nod by the model at 38% to win, the balance of probabilities paints a picture of a match that could swing either way, especially given the visitors' slight xPoints advantage at 2.7 compared to the hosts' 2.4.

    Heidenheim's attacking edge is evident, boasting 1.6 xG per match over Dynamo's 1.2. Yet, their defensive frailties are equally pronounced, conceding an average xGA of 1.8, whereas Dynamo's defense is marginally tighter at 1.5. Both teams employ a possession control style, hinting at a strategic battle for dominance rather than an open, end-to-end affair. The expected goals tally is tightly matched—1.39 for the hosts and 1.28 for the visitors—emphasizing the likely equilibrium.

    Despite both teams' preference for possession, Heidenheim's superior ability to generate xG within 8 seconds of winning the ball, at 0.45 compared to Dynamo's 0.09, could be a decisive factor. This suggests that if the hosts can capitalize on quick transitions, they might edge ahead. However, with 1-1 being the most likely scoreline (13%), a draw is a real possibility, reflecting the model's draw probability of 29%.

    The betting angles point strongly towards the under market. While the over/under 2.5 goals is poised at 50%, value emerges in the under 2.5 market with Betsson at odds of 2.28, offering a significant 14% edge, suggesting a lower-scoring encounter. Even sharper is the under 1.5 at 4.5, with a 12% edge—ideal for those anticipating a particularly cagey meeting. Should caution prevail, under 3.5 at 1.52 with a 9% edge offers a safer play, nicely balancing risk and reward.

    HeidenheimHeidenheim
    Form WL
    League ranking xG #8xGA #13xT #12xP/match #14Points #7
    Key players
    • Marvin PieringerFxG 0.22 · xT -0.04
    • Marcel CostlyRWxG 0.46 · xT 0.21
    • Budu ZivzivadzeFxG 0.17 · xT -0.03
    Dynamo DresdenDynamo Dresden
    Form WLWLW
    League ranking xG #13xGA #10xT #10xP/match #11Points #6
    Key players
    • Alexander RossipalLWBxG 0.06 · xT 0.40
    • Nicolai RappFxG 0.00 · xT -0.05
    • Jonas SternerRWBxG 0.10 · xT 0.23
    Final score
    53
    The model called the outcome
    Predicted probabilities: Heidenheim 38% · Draw 29% · Dynamo Dresden 33%

    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 7,78fair 11,58-33 %
    Miss
    Matchresultat - 1. FC Heidenheim 1846Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,03fair 9,87-49 %
    Hit

    Match prediction: HeidenheimDynamo Dresden

    Predicted score matrix

    Dynamo Dresden
    Heidenheim
    0
    1
    2
    3
    4+
    0
    0–07.2%
    0–18.5%
    0–25.7%
    0–32.4%
    0–4+1.0%
    1
    1–09.2%
    1–112.7%
    1–27.9%
    1–33.4%
    1–4+1.4%
    2
    2–06.7%
    2–18.6%
    2–25.5%
    2–32.4%
    2–4+1.0%
    3
    3–03.1%
    3–14.0%
    3–22.6%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.5%
    4+–11.9%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,391,28
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.28EV+14%
    Over 2,550%
    @1.55

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Heidenheim or draw (1X)66%
    • Under 3.5 goals72%

    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 Heidenheim or draw (1X)66%
    • Over 2.5 goals50%
    • Marvin Pieringer to score21%

    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 goals50%
    • Marvin Pieringer to score21%
    • Robert Wagner to be booked26%

    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 2.550% probability@2.28BetssonEV+14%reference odds
    • Both teams to score: No45% probability@2.50Bet365EV+13%reference odds
    • 2 · Dynamo Dresden33% probability@3.40Bet365EV+13%reference odds
    Bookmaker1 · HeidenheimX2 · Dynamo Dresden
    Bet3652.003.40
    EV+ 13%
    3.40
    Betsson2.023.40
    EV+ 6%
    3.20
    Pinnacle2.28
    EV+ 7%
    3.75
    EV+ 1%
    3.05

    Odds updated 29 Aug, 10:25

    Odds movement

    1+6 %
    47 %37 %

    2.162.28

    X+1 %
    30 %20 %

    3.733.75

    2-3 %
    38 %28 %

    3.143.05

    Pinnacle · 20 recorded price levels · 21/08/2026 → 29/08/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Heidenheim
    Dynamo Dresden
    When goals are scored and conceded 2026
    Heidenheim (57)
    Dynamo Dresden (13)
    Pass networks

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

    Heidenheim
    Jonas Föhrenbach: 92 passningar, xT 0.22FöhrenbachTim Siersleben: 87 passningar, xT 0.44SierslebenPatrick Mainka: 79 passningar, xT 0.1MainkaAdrian Beck: 62 passningar, xT 0.1BeckJan Schöppner: 57 passningar, xT 0.02SchöppnerFrank Feller: 52 passningar, xT 0.08FellerOualid Mhamdi: 44 passningar, xT 0.21MhamdiMarvin Pieringer: 42 passningar, xT -0.11PieringerMarcel Costly: 40 passningar, xT 0.39CostlyBenedikt Gimber: 24 passningar, xT 0.06GimberBudu Zivzivadze: 21 passningar, xT -0.05Zivzivadze
    Dynamo Dresden
    Friedrich Müller: 158 passningar, xT 0.06MüllerAlexander Rossipal: 122 passningar, xT 0.68RossipalThomas Leon Keller: 116 passningar, xT 0.08KellerTim Schreiber: 109 passningar, xT 0.1SchreiberJonas Sterner: 86 passningar, xT 0.19SternerRobert Wagner: 79 passningar, xT 0.01WagnerNicolai Rapp: 74 passningar, xT -0.1RappBen Bobzien: 56 passningar, xT 0.07BobzienNiklas Hauptmann: 34 passningar, xT 0.1HauptmannVincent Vermeij: 29 passningar, xT 0.17VermeijKaan İnanoğlu: 28 passningar, xT 0.15İnanoğlu
    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.

    Heidenheim
    Jonas Föhrenbach: 92 passningar, xT 0.22FöhrenbachTim Siersleben: 87 passningar, xT 0.44SierslebenPatrick Mainka: 79 passningar, xT 0.1MainkaAdrian Beck: 62 passningar, xT 0.1BeckJan Schöppner: 57 passningar, xT 0.02SchöppnerFrank Feller: 52 passningar, xT 0.08FellerOualid Mhamdi: 44 passningar, xT 0.21MhamdiMarvin Pieringer: 42 passningar, xT -0.11PieringerMarcel Costly: 40 passningar, xT 0.39CostlyBenedikt Gimber: 24 passningar, xT 0.06GimberBudu Zivzivadze: 21 passningar, xT -0.05Zivzivadze
    Dynamo Dresden
    Friedrich Müller: 158 passningar, xT 0.06MüllerAlexander Rossipal: 122 passningar, xT 0.68RossipalThomas Leon Keller: 116 passningar, xT 0.08KellerTim Schreiber: 109 passningar, xT 0.1SchreiberJonas Sterner: 86 passningar, xT 0.19SternerRobert Wagner: 79 passningar, xT 0.01WagnerNicolai Rapp: 74 passningar, xT -0.1RappBen Bobzien: 56 passningar, xT 0.07BobzienNiklas Hauptmann: 34 passningar, xT 0.1HauptmannVincent Vermeij: 29 passningar, xT 0.17VermeijKaan İnanoğlu: 28 passningar, xT 0.15İnanoğlu

    The teams in numbers

    PerformanceHeidenheimDynamo Dresden
    Points33
    xPoints2.42.7
    xG per match1.61.2
    xGA per match1.81.5
    xG within 8s of winning the ball0.450.09
    xGA within 8s of losing the ball0.220.44
    Playing styleHeidenheimDynamo Dresden
    Build-up efficiency0.320.3
    Field tilt0.430.43
    xT per match0.820.9
    xTA per match0.940.84
    Won balls, offensive half2517
    Pressing intensity0.220.24
    Pressing efficiency0.350.25
    Pressing efficiency, offensive half0.350.22
    Entries into the box per match1311
    Entries into the box against1916
    Pass completion %0.730.83
    Pass completion % under pressure0.710.77
    Passes per match329482
    Passes against per match306411
    Switches of play per match32.515.4
    Long balls per match4525
    Set piecesHeidenheimDynamo Dresden
    xG from free kicks0.120
    Corners per match3.56.2
    Corners against per match5.45.1
    xG per corner0.010.01
    xGA per corner against0.030.01
    First touch, offensive corners %0.290.58
    First touch, defensive corners %0.450.3
    OtherHeidenheimDynamo Dresden
    Throw-in control0.760.75
    The goalkeepersFrank Feller (Heidenheim)Tim Schreiber (Dynamo Dresden)
    Saves75
    Save %50%63%
    xG prevented35%58%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Heidenheim vs Dynamo Dresden according to our model?

    The model gives Heidenheim a 38% win probability. Full 1X2 picture: Heidenheim 38%, draw 29%, Dynamo Dresden 33%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    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.