2. BundesligaEintracht-Stadion, Braunschweig10°0,9 mm18 km/h

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    Eintracht BraunschweigEintracht BraunschweigPossession & high press
    vs
    Holstein KielHolstein KielPossession control
    The model's lean: 2 · Holstein Kiel (38%)Soft draw

    Eintracht Braunschweig vs Holstein Kiel · 2. Bundesliga

    1 · Eintracht Braunschweig 35%X 27%38% Holstein Kiel · 2

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    Analysis: Eintracht Braunschweig – Holstein Kiel

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

    Eintracht Braunschweig's high pressing style against Holstein Kiel's possession control promises a tactical battle where the nuances of each team's approach could decide the outcome. The home side thrives on quick transitions, as evidenced by their superior xG within 8 seconds of winning the ball, indicating they are adept at converting defensive actions into offensive threats. Braunschweig's inclination to press high may force Kiel into mistakes, but Kiel's ability to keep possession could mitigate this risk, setting up a fascinating clash of football philosophies.

    The model gives a slight edge to Kiel with a 38% probability of victory compared to Braunschweig's 35%. With such evenly matched odds, the 1-1 scoreline appearing as the most probable outcome at 11% underscores the likelihood of a tight contest. The expected goals tally, which favors Braunschweig at 1.58 against Kiel's 1.48, hints that the hosts might create slightly more opportunities, but the visitors' defensive solidity (xGA of 1.4 compared to Braunschweig's 2.0) suggests they'll be difficult to break down.

    Despite Braunschweig's potential edge in creating chances, the expected rain could suppress scoring, adding a layer of complexity to the tactical dynamics. Both teams are forecasted to score in 62% of simulations, yet the weather is baked into these figures, suggesting it could dampen the attacking displays.

    The over 2.5 goals market leans towards hitting with a 59% probability, but considering the weather and the defensive strength of Kiel, a bet on under 2.5 goals might hold value. However, the sharpest angle might be the draw at odds of 3.30 with Bet365, reflecting the balanced nature of this matchup and the small head-to-head sample weighting less in the face of current form and expected goals.

    Eintracht BraunschweigEintracht Braunschweig
    Form LLLDL
    League ranking xG #4xGA #16xT #8xP/match #10Points #15
    Key players
    • Aaron Opoku-TiawiahRWxG 0.13 · xT 0.17
    • Yann SturmLWxG 0.31 · xT 0.17
    • Jan UrbichFxG 0.57 · xT 0.01
    Holstein KielHolstein Kiel
    Form DLDLD
    League ranking xG #9xGA #8xT #3xP/match #9Points #16
    Key players
    • Phil HarresFxG 0.76 · xT 0.00
    • Adrián KaprálikFxG 0.16 · xT 0.18
    • Guillermo BalziRWxG 0.14 · xT 0.12

    Match prediction: Eintracht Braunschweig – Holstein Kiel

    Predicted score matrix

    Holstein Kiel →
    Eintracht Braunschweig →
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–16.6%
    0–25.1%
    0–32.5%
    0–4+1.3%
    1
    1–07.1%
    1–111.3%
    1–28.1%
    1–34.0%
    1–4+2.0%
    2
    2–05.9%
    2–18.7%
    2–26.4%
    2–33.1%
    2–4+1.6%
    3
    3–03.1%
    3–14.6%
    3–23.4%
    3–31.7%
    3–4+0.8%
    4+
    4+–01.7%
    4+–12.6%
    4+–21.9%
    4+–30.9%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,58–1,48
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.35
    Over 2,559%
    @1.53

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Holstein Kiel or draw (X2)60%
    • Over 1.5 goals81%

    Combined probability

    49%

    Fair odds

    2.06

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

    02 · 3 legs

    Balanced

    • Double chance Holstein Kiel or draw (X2)60%
    • Over 2.5 goals59%
    • Phil Harres to score22%

    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 score62%
    • Over 2.5 goals59%
    • Phil Harres to score22%
    • Hiroki Sekine 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

    Bookmaker1 · Eintracht BraunschweigX2 · Holstein Kiel
    Betsafe2.623.502.35
    LeoVegas2.603.602.35
    Nordicbet2.623.502.35

    Odds updated 3 Oct, 18:36

    Odds movement

    10 %
    38 %33 %

    2.60 → 2.60

    X+1 %
    28 %23 %

    3.55 → 3.60

    2+2 %
    42 %37 %

    2.30 → 2.35

    LeoVegas · 3 recorded price levels · 02/10/2026 → 03/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Eintracht Braunschweig 0Draw 1Holstein Kiel 1
    Goals: 1–3 (⌀ 2)

    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).

    Eintracht Braunschweig
    Holstein Kiel
    When goals are scored and conceded — 2026
    Eintracht Braunschweig (12–13)
    Holstein Kiel (7–10)
    Pass networks

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

    Eintracht Braunschweig
    Kevin Ehlers: 237 passningar, xT 0.3EhlersFlorian Flick: 203 passningar, xT 0.14FlickMehmet Aydin: 192 passningar, xT 0.44AydinRon-Thorben Hoffmann: 187 passningar, xT 0.36HoffmannMax Marie: 141 passningar, xT 0.46MarieAndi Hoti: 137 passningar, xT 0.09HotiSamuele Di Benedetto: 102 passningar, xT 0.34BenedettoFabio Di Michele Sanchez: 96 passningar, xT 0.28SanchezAaron Opoku-Tiawiah: 92 passningar, xT 0.73Opoku-TiawiahLukas Frenkert: 70 passningar, xT 0.11FrenkertYann Sturm: 61 passningar, xT 0.57Sturm
    Holstein Kiel
    Hiroki Sekine: 263 passningar, xT 0.52SekineTimon Moritz Weiner: 252 passningar, xT 0.23WeinerDavid Zec: 225 passningar, xT 0.24ZecJonas Meffert: 194 passningar, xT 0.33MeffertGuillermo Balzi: 168 passningar, xT 0.46BalziLeon Parduzi: 158 passningar, xT 0.17ParduziIvan Nekić: 138 passningar, xT 0.26NekićKasper Davidsen: 106 passningar, xT 0.39DavidsenAdrián Kaprálik: 91 passningar, xT 0.6KaprálikJohn Tolkin: 90 passningar, xT 0.11TolkinNoah Haubjerg Ellegaard Madsen: 60 passningar, xT 0.08Madsen
    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.

    Eintracht Braunschweig
    Kevin Ehlers: 237 passningar, xT 0.3EhlersFlorian Flick: 203 passningar, xT 0.14FlickMehmet Aydin: 192 passningar, xT 0.44AydinRon-Thorben Hoffmann: 187 passningar, xT 0.36HoffmannMax Marie: 141 passningar, xT 0.46MarieAndi Hoti: 137 passningar, xT 0.09HotiSamuele Di Benedetto: 102 passningar, xT 0.34BenedettoFabio Di Michele Sanchez: 96 passningar, xT 0.28SanchezAaron Opoku-Tiawiah: 92 passningar, xT 0.73Opoku-TiawiahLukas Frenkert: 70 passningar, xT 0.11FrenkertYann Sturm: 61 passningar, xT 0.57Sturm
    Holstein Kiel
    Hiroki Sekine: 263 passningar, xT 0.52SekineTimon Moritz Weiner: 252 passningar, xT 0.23WeinerDavid Zec: 225 passningar, xT 0.24ZecJonas Meffert: 194 passningar, xT 0.33MeffertGuillermo Balzi: 168 passningar, xT 0.46BalziLeon Parduzi: 158 passningar, xT 0.17ParduziIvan Nekić: 138 passningar, xT 0.26NekićKasper Davidsen: 106 passningar, xT 0.39DavidsenAdrián Kaprálik: 91 passningar, xT 0.6KaprálikJohn Tolkin: 90 passningar, xT 0.11TolkinNoah Haubjerg Ellegaard Madsen: 60 passningar, xT 0.08Madsen

    The teams in numbers

    PerformanceEintracht BraunschweigHolstein Kiel
    Points44
    xPoints8.38.4
    xG per match1.81.6
    xGA per match21.4
    xG within 8s of winning the ball0.280.19
    xGA within 8s of losing the ball0.230.26
    Playing styleEintracht BraunschweigHolstein Kiel
    Build-up efficiency0.310.28
    Field tilt0.520.64
    xT per match11.2
    xTA per match11.1
    Won balls, offensive half2632
    Pressing intensity0.220.23
    Pressing efficiency0.330.33
    Pressing efficiency, offensive half0.270.29
    Entries into the box per match1113
    Entries into the box against1312
    Pass completion %0.760.78
    Pass completion % under pressure0.70.73
    Passes per match359394
    Passes against per match381305
    Switches of play per match31.119.9
    Long balls per match3729
    Set piecesEintracht BraunschweigHolstein Kiel
    xG from free kicks00.14
    Corners per match4.56.7
    Corners against per match6.65.2
    xG per corner0.030.03
    xGA per corner against0.060.05
    First touch, offensive corners %0.30.61
    First touch, defensive corners %0.570.48
    OtherEintracht BraunschweigHolstein Kiel
    Throw-in control0.730.73
    The goalkeepersRon-Thorben Hoffmann (Eintracht Braunschweig)Timon Moritz Weiner (Holstein Kiel)
    Saves2417
    Save %67%65%
    xG prevented47%60%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Eintracht Braunschweig vs Holstein Kiel according to our model?

    The model gives Holstein Kiel a 38% win probability. Full 1X2 picture: Eintracht Braunschweig 35%, draw 27%, Holstein Kiel 38%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.