2. BundesligaStadion der Freundschaft, Cottbus17°1,8 mm23 km/h

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    Energie CottbusEnergie CottbusCounter-attacks & crosses
    vs
    St. PauliSt. PauliPossession & high press
    The model's lean: 1 · Energie Cottbus (42%)

    Energie Cottbus vs St. Pauli · 2. Bundesliga

    1 · Energie Cottbus 42%X 25%33% St. Pauli · 2

    Analysis: Energie CottbusSt. Pauli

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

    Energie Cottbus' ability to punch above their weight is evident in their offensive prowess, reflected in an xG of 1.9 per match. This capability to create scoring opportunities puts them at an advantage over St. Pauli, who lag behind with an xG of 1.4. However, the defensive side of the equation paints a different picture. Cottbus concedes an alarming 2.5 xGA per match, which might give St. Pauli's high-pressing attack a chance to capitalize, even in a wet and possibly slower-paced match.

    St. Pauli might have the upper hand in controlling the game with their possession-oriented style, but the market seems to undervalue the hosts. Energie Cottbus, with 42% probability, is tipped by the models as the likelier victor, especially at odds of 2.85 from bookmakers like Betsafe, Betsson, and Nordicbet. This presents a significant edge of 19%, making it a noteworthy opportunity for discerning bettors.

    It’s a matchup where the models foresee goals aplenty, with over 2.5 goals at 60% and both teams to score at 63%. Yet, the expected rain could dampen attacking fluidity, slightly skewing the goal probability. Despite this, the most probable scorelines hover around a 1-1 or a narrow 2-1 victory, emphasizing the closeness of the contest.

    While points currently favor Cottbus slightly (7 vs St. Pauli's 6), the expected points (xPoints) suggest St. Pauli might have been a tad unlucky so far, hinting at their potential to upset the hosts if they find their rhythm. However, the counter-attacking and crossing prowess of Cottbus could exploit any lapses in St. Pauli's high press.

    When it comes to value, it's hard to ignore the edge in backing Cottbus at home. With the model highlighting the discrepancy, backing Energie Cottbus at 2.85 feels like the sharpest play in this tightly contested fixture.

    Energie CottbusEnergie Cottbus
    Form WLLDW
    League ranking xG #5xGA #18xT #13xP/match #16Points #7
    Key players
    • Lucas CopadoFxG 0.21 · xT 0.06
    • Tolcay CigerciRWxG 0.57 · xT 0.18
    • King ManuCBxG 0.12 · xT 0.05
    St. PauliSt. Pauli
    Form DDLDW
    League ranking xG #14xGA #2xT #4xP/match #11Points #11
    Key players
    • Arkadiusz PyrkaRWxG 0.01 · xT 0.26
    • Abdoulie CeesayFxG 0.80 · xT -0.01
    • Taichi HaraFxG 0.30 · xT 0.11

    Match prediction: Energie CottbusSt. Pauli

    Predicted score matrix

    St. Pauli
    Energie Cottbus
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–16.4%
    0–25.1%
    0–32.6%
    0–4+1.4%
    1
    1–06.7%
    1–111.0%
    1–28.2%
    1–34.1%
    1–4+2.2%
    2
    2–05.6%
    2–18.6%
    2–26.5%
    2–33.3%
    2–4+1.8%
    3
    3–03.0%
    3–14.6%
    3–23.5%
    3–31.8%
    3–4+0.9%
    4+
    4+–01.7%
    4+–12.6%
    4+–22.0%
    4+–31.0%
    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. 5.2-27%
    Expected goals
    1,601,52
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.72EV+7%
    Over 2,560%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Energie Cottbus or draw (1X)64%
    • Over 1.5 goals82%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Energie Cottbus or draw (1X)64%
    • Over 2.5 goals60%
    • Jannis Boziaris to score24%

    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 score63%
    • Over 2.5 goals60%
    • Jannis Boziaris to score24%
    • David Nemeth 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 Cottbus42% probability@3.25Paddy PowerEV+36%reference odds
    • 1 · Energie Cottbus42% probability@3.13PinnacleEV+31%reference odds
    • 1 · Energie Cottbus42% probability@2.85BetsafeEV+19%reference odds
    Bookmaker1 · Energie CottbusX2 · St. Pauli
    Betfair Exchange1.103.901.99
    Betsafe
    EV+ 19%
    2.85
    3.652.12
    Betsson
    EV+ 19%
    2.85
    3.652.12
    Nordicbet
    EV+ 19%
    2.85
    3.652.12
    Paddy Power
    EV+ 36%
    3.25
    3.751.90
    Pinnacle
    EV+ 31%
    3.13
    3.982.14

    Odds updated 19 Sept, 17:36

    Odds movement

    1-7 %
    32 %27 %

    3.373.13

    X+5 %
    27 %22 %

    3.803.98

    2+5 %
    49 %44 %

    2.042.14

    Pinnacle · 12 recorded price levels · 14/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Energie Cottbus
    St. Pauli
    When goals are scored and conceded 2026
    Energie Cottbus (1312)
    St. Pauli (77)
    Pass networks

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

    Energie Cottbus
    Leonardo Jesus Loureiro Bittencourt: 208 passningar, xT 1.06BittencourtKing Manu: 175 passningar, xT 0.23ManuMarcel Lotka: 169 passningar, xT 0.16LotkaLuca Erlein: 160 passningar, xT 0.15ErleinLukas Michelbrink: 133 passningar, xT 0.23MichelbrinkFousseny Max Doumbia: 133 passningar, xT 0.08DoumbiaTolcay Cigerci: 125 passningar, xT 0.65CigerciHenry Rorig: 120 passningar, xT 0.15RorigAxel Borgmann: 108 passningar, xT 0.15BorgmannDominik Pelivan: 98 passningar, xT 0.04PelivanLucas Copado: 63 passningar, xT 0.14Copado
    St. Pauli
    David Nemeth: 250 passningar, xT 0.46NemethMarcus Mathisen: 244 passningar, xT 0.58MathisenArkadiusz Pyrka: 204 passningar, xT 1.19PyrkaMathias Knutsen Rasmussen: 199 passningar, xT 0.6RasmussenTomoya Ando: 198 passningar, xT 0.27AndoEric Smith: 187 passningar, xT 0.18SmithLouis Oppie: 155 passningar, xT 0.81OppieBen Alexander Voll: 100 passningar, xT 0.2VollJoel Chima Fujita: 82 passningar, xT -0.15FujitaBranimir Hrgota: 69 passningar, xT 0.52HrgotaConnor Metcalfe: 46 passningar, xT 0.25Metcalfe
    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: 208 passningar, xT 1.06BittencourtKing Manu: 175 passningar, xT 0.23ManuMarcel Lotka: 169 passningar, xT 0.16LotkaLuca Erlein: 160 passningar, xT 0.15ErleinLukas Michelbrink: 133 passningar, xT 0.23MichelbrinkFousseny Max Doumbia: 133 passningar, xT 0.08DoumbiaTolcay Cigerci: 125 passningar, xT 0.65CigerciHenry Rorig: 120 passningar, xT 0.15RorigAxel Borgmann: 108 passningar, xT 0.15BorgmannDominik Pelivan: 98 passningar, xT 0.04PelivanLucas Copado: 63 passningar, xT 0.14Copado
    St. Pauli
    David Nemeth: 250 passningar, xT 0.46NemethMarcus Mathisen: 244 passningar, xT 0.58MathisenArkadiusz Pyrka: 204 passningar, xT 1.19PyrkaMathias Knutsen Rasmussen: 199 passningar, xT 0.6RasmussenTomoya Ando: 198 passningar, xT 0.27AndoEric Smith: 187 passningar, xT 0.18SmithLouis Oppie: 155 passningar, xT 0.81OppieBen Alexander Voll: 100 passningar, xT 0.2VollJoel Chima Fujita: 82 passningar, xT -0.15FujitaBranimir Hrgota: 69 passningar, xT 0.52HrgotaConnor Metcalfe: 46 passningar, xT 0.25Metcalfe

    The teams in numbers

    PerformanceEnergie CottbusSt. Pauli
    Points76
    xPoints5.66.9
    xG per match1.91.4
    xGA per match2.51.2
    xG within 8s of winning the ball0.140.21
    xGA within 8s of losing the ball0.410.12
    Playing styleEnergie CottbusSt. Pauli
    Build-up efficiency0.320.3
    Field tilt0.550.6
    xT per match0.861.2
    xTA per match1.20.86
    Won balls, offensive half2131
    Pressing intensity0.240.24
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.250.22
    Entries into the box per match1214
    Entries into the box against1612
    Pass completion %0.760.76
    Pass completion % under pressure0.70.71
    Passes per match344384
    Passes against per match329389
    Switches of play per match2721.6
    Long balls per match3229
    Set piecesEnergie CottbusSt. Pauli
    xG from free kicks0.10.07
    Corners per match7.66.7
    Corners against per match5.63.8
    xG per corner0.020.05
    xGA per corner against0.020.04
    First touch, offensive corners %0.560.45
    First touch, defensive corners %0.570.68
    OtherEnergie CottbusSt. Pauli
    Throw-in control0.690.8
    The goalkeepersMarcel Lotka (Energie Cottbus)Ben Alexander Voll (St. Pauli)
    Saves2314
    Save %68%74%
    xG prevented41%53%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Energie Cottbus vs St. Pauli according to our model?

    The model gives Energie Cottbus a 42% win probability. Full 1X2 picture: Energie Cottbus 42%, draw 25%, St. Pauli 33%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.