2. BundesligaStadion der Freundschaft, Cottbus21°6,9 mm17 km/h

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    Energie CottbusEnergie CottbusCounter-attacks & crosses
    34
    Greuther FürthGreuther FürthCounter-attacks & crosses
    The model's lean: 1 · Energie Cottbus (56%)

    Energie CottbusGreuther Fürth · 2. Bundesliga

    1 · Energie Cottbus 56%X 22%22% Greuther Fürth · 2

    Analysis: Energie CottbusGreuther Fürth

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

    TEXT: Energie Cottbus brings a peculiar defensive challenge to the table, having conceded an average of three expected goals per match this season. This vulnerability suggests that Greuther Fürth might find more joy in front of goal than their current form indicates. Despite Cottbus's defensive frailties, the home side is notably favored by the models, with a 56% chance of securing a victory, largely due to their more efficient point accumulation compared to Fürth.

    On paper, both teams boast a similar tactical approach, relying heavily on counter attacks and crosses, which might lead to a scrappy affair in the midfield. Although Fürth has generated a more promising xG per match at 1.7 compared to Cottbus's 1.2, the home team's slight edge in securing actual points suggests they might capitalize better on their chances. The expected goals for Cottbus stand at 2.05, indicating that they could carve out enough opportunities to breach Fürth's defense, which concedes 1.6 xGA per match.

    The most probable outcomes, according to model predictions, are tightly contested scorelines, with 1-1 and 2-1 both sitting at 10%. However, the goal-scoring potential leans slightly toward over 2.5 goals, at 65%, given the defensive lapses on both sides. If the game follows the expected trend, we could see a 2-1 victory for the hosts, with both teams finding the back of the net, supported by the 64% probability for both teams to score.

    For those seeking value, Energie Cottbus to win aligns with the model's slight lean towards a home victory. While not a certainty, the numbers suggest enough edge in Cottbus's favor to warrant consideration.

    Energie CottbusEnergie Cottbus
    Form WL
    League ranking xG #14xGA #18xT #18xP/match #17Points #5
    Key players
    • Dominik PelivanCBxG 0.00 · xT 0.01
    • Lucas CopadoFxG 0.12 · xT 0.09
    • Tolcay CigerciRWxG 0.61 · xT 0.13
    Greuther FürthGreuther Fürth
    Form DLWDL
    League ranking xG #7xGA #11xT #13xP/match #2Points #16
    Key players
    • Felix KlausRWxG 1.40 · xT 0.32
    • Dennis SrbenyFxG 0.13 · xT 0.09
    • Luca ItterLWBxG 0.01 · xT 0.11
    Final score
    34
    The model missed the outcome
    Predicted probabilities: Energie Cottbus 56% · Draw 22% · Greuther Fürth 22%

    Match prediction: Energie CottbusGreuther Fürth

    Predicted score matrix

    Greuther Fürth
    Energie Cottbus
    0
    1
    2
    3
    4+
    0
    0–03.8%
    0–14.3%
    0–23.0%
    0–31.3%
    0–4+0.6%
    1
    1–06.9%
    1–19.6%
    1–26.1%
    1–32.7%
    1–4+1.2%
    2
    2–07.3%
    2–19.6%
    2–26.3%
    2–32.7%
    2–4+1.2%
    3
    3–05.0%
    3–16.5%
    3–24.3%
    3–31.9%
    3–4+0.8%
    4+
    4+–04.1%
    4+–15.3%
    4+–23.5%
    4+–31.5%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-07%
    4. 4.1-07%
    5. 5.3-17%
    Expected goals
    2,051,31
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,4
    Under 2,535%
    @2.50
    Over 2,565%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Energie Cottbus to win56%
    • Over 1.5 goals85%

    Combined probability

    47%

    Fair odds

    2.12

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

    02 · 3 legs

    Balanced

    • Energie Cottbus to win56%
    • Over 2.5 goals65%
    • Erik Engelhardt to score27%

    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 score64%
    • Over 2.5 goals65%
    • Erik Engelhardt to score27%
    • Paul Will to be booked23%

    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+).

    • 1 · Energie Cottbus56% probability@2.52PinnacleEV+42%reference odds
    • 1 · Energie Cottbus56% probability@2.45Bet365EV+38%reference odds
    Bookmaker1 · Energie CottbusX2 · Greuther Fürth
    Bet365
    EV+ 38%
    2.45
    3.702.45
    Pinnacle
    EV+ 42%
    2.52
    3.772.70

    Odds updated 29 Aug, 10:25

    Odds movement

    1-1 %
    40 %35 %

    2.552.52

    X+4 %
    28 %23 %

    3.633.77

    2+3 %
    39 %34 %

    2.632.70

    Pinnacle · 13 recorded price levels · 21/08/2026 → 29/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Energie Cottbus
    Greuther Fürth
    When goals are scored and conceded 2026
    Energie Cottbus (34)
    Greuther Fürth (35)
    Pass networks

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

    Energie Cottbus
    Leonardo Jesus Loureiro Bittencourt: 84 passningar, xT 0.04BittencourtDominik Pelivan: 82 passningar, xT 0.02PelivanLuca Erlein: 79 passningar, xT 0.04ErleinFousseny Max Doumbia: 68 passningar, xT 0.03DoumbiaMarcel Lotka: 67 passningar, xT 0.08LotkaKing Manu: 52 passningar, xT 0.08ManuHenry Rorig: 50 passningar, xT 0.1RorigTolcay Cigerci: 50 passningar, xT 0.17CigerciLukas Michelbrink: 46 passningar, xT -0.03MichelbrinkLucas Copado: 28 passningar, xT 0.08CopadoJustin Butler: 28 passningar, xT -0.05Butler
    Greuther Fürth
    Jannis Heuer: 74 passningar, xT 0.09HeuerKrisztián Keresztes: 72 passningar, xT 0.14KeresztesFlorian Pascal Hellstern: 68 passningar, xT 0.13HellsternPaul Will: 64 passningar, xT 0.04WillLuca Itter: 59 passningar, xT 0.21ItterShinta Karl Appelkamp: 54 passningar, xT 0.04AppelkampJannik Dehm: 54 passningar, xT 0.2DehmFelix Klaus: 45 passningar, xT 0.36KlausSacha Banse: 36 passningar, xT -0.05BanseOlé Pohlmann: 29 passningar, xT -0.02PohlmannDennis Srbeny: 21 passningar, xT 0.17Srbeny
    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.

    Energie Cottbus
    Leonardo Jesus Loureiro Bittencourt: 84 passningar, xT 0.04BittencourtDominik Pelivan: 82 passningar, xT 0.02PelivanLuca Erlein: 79 passningar, xT 0.04ErleinFousseny Max Doumbia: 68 passningar, xT 0.03DoumbiaMarcel Lotka: 67 passningar, xT 0.08LotkaKing Manu: 52 passningar, xT 0.08ManuHenry Rorig: 50 passningar, xT 0.1RorigTolcay Cigerci: 50 passningar, xT 0.17CigerciLukas Michelbrink: 46 passningar, xT -0.03MichelbrinkLucas Copado: 28 passningar, xT 0.08CopadoJustin Butler: 28 passningar, xT -0.05Butler
    Greuther Fürth
    Jannis Heuer: 74 passningar, xT 0.09HeuerKrisztián Keresztes: 72 passningar, xT 0.14KeresztesFlorian Pascal Hellstern: 68 passningar, xT 0.13HellsternPaul Will: 64 passningar, xT 0.04WillLuca Itter: 59 passningar, xT 0.21ItterShinta Karl Appelkamp: 54 passningar, xT 0.04AppelkampJannik Dehm: 54 passningar, xT 0.2DehmFelix Klaus: 45 passningar, xT 0.36KlausSacha Banse: 36 passningar, xT -0.05BanseOlé Pohlmann: 29 passningar, xT -0.02PohlmannDennis Srbeny: 21 passningar, xT 0.17Srbeny

    The teams in numbers

    PerformanceEnergie CottbusGreuther Fürth
    Points31
    xPoints1.73.6
    xG per match1.21.7
    xGA per match31.6
    xG within 8s of winning the ball0.050.09
    xGA within 8s of losing the ball0.480.23
    Playing styleEnergie CottbusGreuther Fürth
    Build-up efficiency0.320.32
    Field tilt0.480.32
    xT per match0.390.82
    xTA per match1.51.6
    Won balls, offensive half1816
    Pressing intensity0.230.25
    Pressing efficiency0.330.24
    Pressing efficiency, offensive half0.260.22
    Entries into the box per match610
    Entries into the box against1816
    Pass completion %0.750.78
    Pass completion % under pressure0.690.74
    Passes per match363303
    Passes against per match323415
    Switches of play per match15.224.4
    Long balls per match2932
    Set piecesEnergie CottbusGreuther Fürth
    xG from free kicks0.050.05
    Corners per match6.13.4
    Corners against per match6.65.9
    xG per corner0.020.01
    xGA per corner against0.010.08
    First touch, offensive corners %0.450.57
    First touch, defensive corners %0.460.33
    OtherEnergie CottbusGreuther Fürth
    Throw-in control0.720.67
    The goalkeepersMarcel Lotka (Energie Cottbus)Florian Pascal Hellstern (Greuther Fürth)
    Saves1110
    Save %73%67%
    xG prevented50%68%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Energie Cottbus vs Greuther Fürth according to our model?

    The model gives Energie Cottbus a 56% win probability. Full 1X2 picture: Energie Cottbus 56%, draw 22%, Greuther Fürth 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 64% 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.