BundesligaStadion An der Alten Försterei, Berlin12°0,1 mm14 km/h

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    Union BerlinUnion BerlinLow block & direct
    0–0
    Borussia DortmundBorussia DortmundPossession & high press
    The model's lean: 2 · Borussia Dortmund (56%)Best value by the model: Under 1,5 @ 5.52 (+33 %)

    Union Berlin vs Borussia Dortmund · Bundesliga

    1 · Union Berlin 18%X 26%56% Borussia Dortmund · 2

    Prediction summary

    Final score 0–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Union Berlin vs Borussia Dortmund (Bundesliga, Saturday, 17 October 2026): Union Berlin win 18%, draw 26%, Borussia Dortmund win 56%. Expected goals (xG): Union Berlin 1.07, Borussia Dortmund 1.65. Most likely score: 1-1 (12%). Over 2.5 goals 51%, both teams to score 53%. Double chance: Union Berlin or draw 44%, Borussia Dortmund or draw 82%. Prediction updated Friday, 9 October 2026.

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    Analysis: Union Berlin – Borussia Dortmund

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: A glance at the numbers tells us Borussia Dortmund have the upper hand against Union Berlin. With a 56% model probability of winning, Dortmund are clear favorites. This isn't just theoretical; their unbeaten run of seven league matches backs the data. Union has managed only one win in their last four encounters with Dortmund. But remember, such a small head-to-head sample might not tell the full story — so let's not overstate its weight.

    Union Berlin’s style of play, characterized by low defense and directness, faces a daunting test. Dortmund’s possession and high press strategy thrives on exploiting teams like this. The expected goals (xG) figures show Dortmund ahead at 1.65 compared to Union’s 1.07, reinforcing the notion of Dortmund's edge. Their xGA of 0.89 per match further underscores their defensive robustness against Union’s more porous 2.1. The model tilts toward a 1-1 draw (12%) or a 0-1 victory for Dortmund (10%), painting a picture of a tight contest.

    While the market sets the over/under at near even odds, the over 2.5 goals is only favored by a slim 51%. Add the fact that both teams to score sits at 53%, and the match could easily tilt towards a low-scoring affair. The expected points (xPoints) further illustrate the superiority of Dortmund, with a 9.3 to Union's 5.9.

    Value hunters should note the odds on offer: under 1.5 goals at 5.58 with Betsafe and Nordicbet is rated at a 24% chance by the model, offering a hefty 35% edge. Additionally, under 2.5 goals at 2.61 with Betsafe presents a 28% value edge. For those looking for sharp angles, unders appear to be the market’s misstep here.

    Union BerlinUnion Berlin
    Form DLLLW
    League ranking xG #13xGA #12xT #13xP/match #11Points #16
    Key players
    • Emmanuel Delan Junior Latte LathLWxG 0.14 · xT 0.02
    • Leopold QuerfeldCBxG 0.08 · xT 0.15
    • Josip JuranovicRWBxG 0.08 · xT 0.08
    Borussia DortmundBorussia Dortmund
    Form WWWWD
    League ranking xG #7xGA #3xT #9xP/match #3Points #2
    Key players
    • Maximilian BeierLWxG 0.56 · xT 0.11
    • Waldemar AntonCBxG 0.02 · xT 0.08
    • Nico SchlotterbeckCBxG 0.18 · xT 0.26
    Final score
    0 – 0
    The model missed the outcome
    Predicted probabilities: Union Berlin 18% · Draw 26% · Borussia Dortmund 56%

    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 - Union BerlinBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 14,19fair 17,20-17 %
    Miss
    Matchresultat - Borussia DortmundBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,73fair 7,42-50 %
    Miss

    Match prediction: Union Berlin – Borussia Dortmund

    Predicted score matrix

    Borussia Dortmund →
    Union Berlin →
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–110.5%
    0–28.9%
    0–34.9%
    0–4+2.9%
    1
    1–06.7%
    1–112.0%
    1–29.6%
    1–35.3%
    1–4+3.1%
    2
    2–03.8%
    2–16.3%
    2–25.1%
    2–32.8%
    2–4+1.7%
    3
    3–01.4%
    3–12.2%
    3–21.8%
    3–31.0%
    3–4+0.6%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.6%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-210%
    4. 4.0-29%
    5. 5.0-07%
    Expected goals
    1,07–1,65
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.61EV+28%
    Over 2,551%
    @1.51

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Borussia Dortmund to win56%
    • Over 1.5 goals76%

    Combined probability

    40%

    Fair odds

    2.51

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

    02 · 3 legs

    Balanced

    • Borussia Dortmund to win56%
    • Over 2.5 goals51%
    • Serhou Yadaly Guirassy to score32%

    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 score53%
    • Over 2.5 goals51%
    • Serhou Yadaly Guirassy to score32%
    • Aljoscha Kemlein to be booked22%

    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 1.524% probability@5.52BetsafeEV+33%reference odds
    • Under 1.524% probability@5.52NordicbetEV+33%reference odds
    • Under 2.549% probability@2.61BetsafeEV+28%reference odds
    Bookmaker1 · Union BerlinX2 · Borussia Dortmund
    Betsafe
    EV+ 6%
    5.80
    EV+ 13%
    4.40
    1.49
    LeoVegas
    EV+ 1%
    5.50
    EV+ 16%
    4.50
    1.55
    Nordicbet
    EV+ 6%
    5.80
    EV+ 13%
    4.40
    1.49
    Pinnacle
    EV+ 4%
    5.66
    EV+ 18%
    4.57
    1.56

    Odds updated 17 Oct, 13:38

    Odds movement

    1+9 %
    21 %16 %

    5.17 → 5.66

    X+1 %
    24 %19 %

    4.52 → 4.57

    2-2 %
    63 %58 %

    1.59 → 1.56

    Pinnacle · 8 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Union Berlin 1Draw 0Borussia Dortmund 3
    Goals: 2–13 (⌀ 3,8)

    Head-to-head based on Bundesliga data since 2022.

    Key facts

    • Borussia Dortmund are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    Union Berlin
    Borussia Dortmund
    When goals are scored and conceded — 2026
    Union Berlin (5–17)
    Borussia Dortmund (11–4)
    Pass networks

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

    Union Berlin
    Ohis Felix Uduokhai: 167 passningar, xT 0.33UduokhaiTom Rothe: 147 passningar, xT 0.76RotheFrederik Ronnow: 131 passningar, xT 0.06RonnowLeopold Querfeld: 122 passningar, xT 0.4QuerfeldZeno Van den Bosch: 112 passningar, xT 0.14BoschJosip Juranovic: 100 passningar, xT 0.22JuranovicAndrás Schäfer: 97 passningar, xT 0.12SchäferAljoscha Kemlein: 82 passningar, xT 0.06KemleinRani Khedira: 80 passningar, xT 0.26KhediraMichel Aebischer: 72 passningar, xT 0.19AebischerWooyeong Jeong: 70 passningar, xT 0.95Jeong
    Borussia Dortmund
    Waldemar Anton: 343 passningar, xT 0.28AntonJoane Kouakou Gadou: 300 passningar, xT 0.53GadouNico Schlotterbeck: 215 passningar, xT 0.69SchlotterbeckDaniel Svensson: 210 passningar, xT 0.21SvenssonFelix Nmecha: 169 passningar, xT 0.34NmechaJobe Bellingham: 159 passningar, xT 0.13BellinghamJoey Veerman: 126 passningar, xT 0.23VeermanGregor Kobel: 113 passningar, xT 0.16KobelMaximilian Beier: 111 passningar, xT 0.17BeierJulian Ryerson: 105 passningar, xT 1.54RyersonSerhou Guirassy: 83 passningar, xT 0.04Guirassy
    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.

    Union Berlin
    Ohis Felix Uduokhai: 167 passningar, xT 0.33UduokhaiTom Rothe: 147 passningar, xT 0.76RotheFrederik Ronnow: 131 passningar, xT 0.06RonnowLeopold Querfeld: 122 passningar, xT 0.4QuerfeldZeno Van den Bosch: 112 passningar, xT 0.14BoschJosip Juranovic: 100 passningar, xT 0.22JuranovicAndrás Schäfer: 97 passningar, xT 0.12SchäferAljoscha Kemlein: 82 passningar, xT 0.06KemleinRani Khedira: 80 passningar, xT 0.26KhediraMichel Aebischer: 72 passningar, xT 0.19AebischerWooyeong Jeong: 70 passningar, xT 0.95Jeong
    Borussia Dortmund
    Waldemar Anton: 343 passningar, xT 0.28AntonJoane Kouakou Gadou: 300 passningar, xT 0.53GadouNico Schlotterbeck: 215 passningar, xT 0.69SchlotterbeckDaniel Svensson: 210 passningar, xT 0.21SvenssonFelix Nmecha: 169 passningar, xT 0.34NmechaJobe Bellingham: 159 passningar, xT 0.13BellinghamJoey Veerman: 126 passningar, xT 0.23VeermanGregor Kobel: 113 passningar, xT 0.16KobelMaximilian Beier: 111 passningar, xT 0.17BeierJulian Ryerson: 105 passningar, xT 1.54RyersonSerhou Guirassy: 83 passningar, xT 0.04Guirassy

    The teams in numbers

    PerformanceUnion BerlinBorussia Dortmund
    Points413
    xPoints5.99.3
    xG per match1.41.9
    xGA per match2.10.89
    xG within 8s of winning the ball0.140.59
    xGA within 8s of losing the ball0.370.21
    Playing styleUnion BerlinBorussia Dortmund
    Build-up efficiency0.330.31
    Field tilt0.340.61
    xT per match0.991.2
    xTA per match1.50.85
    Won balls, offensive half3030
    Pressing intensity0.270.24
    Pressing efficiency0.270.31
    Pressing efficiency, offensive half0.250.29
    Entries into the box per match1313
    Entries into the box against1712
    Pass completion %0.690.78
    Pass completion % under pressure0.660.74
    Passes per match285444
    Passes against per match390367
    Switches of play per match23.924.2
    Long balls per match3129
    Set piecesUnion BerlinBorussia Dortmund
    xG from free kicks0.070.03
    Corners per match3.84.8
    Corners against per match5.94.6
    xG per corner0.060.04
    xGA per corner against0.040.02
    First touch, offensive corners %0.530.21
    First touch, defensive corners %0.470.74
    OtherUnion BerlinBorussia Dortmund
    Throw-in control0.730.71
    The goalkeepersFrederik Ronnow (Union Berlin)Gregor Kobel (Borussia Dortmund)
    Saves2014
    Save %59%78%
    xG prevented38%81%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Union Berlin vs Borussia Dortmund according to our model?

    The model gives Borussia Dortmund a 56% win probability. Full 1X2 picture: Union Berlin 18%, draw 26%, Borussia Dortmund 56%.

    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 53% according to the model.

    How many goals are expected in Union Berlin vs Borussia Dortmund?

    The model expects 1.07 goals (xG) for Union Berlin and 1.65 for Borussia Dortmund, 2.72 in total.

    What does the model say about double chance?

    Union Berlin or draw (1X) 44%, Borussia Dortmund or draw (X2) 82% and no draw (12) 74%.

    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.