2. BundesligaVolkswagen Arena, Wolfsburg16°0,1 mm22 km/h

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    WolfsburgWolfsburgPossession control
    44
    Energie CottbusEnergie CottbusCounter-attacks & crosses
    The model's lean: 1 · Wolfsburg (44%)Best value by the model: 2 · Energie Cottbus @ 8.00 (+131 %)

    WolfsburgEnergie Cottbus · 2. Bundesliga

    1 · Wolfsburg 44%X 27%29% Energie Cottbus · 2

    Analysis: WolfsburgEnergie Cottbus

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT: With Wolfsburg's possession control pitted against Energie Cottbus’s counter-attacking style, tomorrow's clash promises a tactical chess match where defensive organization takes center stage. The hosts, Wolfsburg, come in with a clear edge in possession-driven play, supported by an xG per match of 2.2 compared to Cottbus's 1.6. This suggests that Wolfsburg will likely dominate the ball, probing for openings while the visitors wait for their moments to strike on the break.

    Wolfsburg holds the upper hand not only in points (7 versus Cottbus's 3) but also in expected points, leading 5.3 to 2.9. This statistical advantage underscores the hosts' stronger form. While Cottbus may find solace in the occasional counter, their defensive vulnerabilities, highlighted by an xGA per match of 2.7, make them susceptible to Wolfsburg’s probing attack.

    The model leans towards Wolfsburg, granting them a 44% chance of victory against Cottbus's 29%. However, the odds paint a different picture. With lines offering odds of 8.2 at Betsafe, Betsson, and Nordicbet, there’s a significant 137% edge for those favoring an upset. It's a risky play but one with considerable potential return, should the visitors manage to execute their counter-attacks effectively.

    Expect a tight match punctuated by moments of quality rather than an end-to-end spectacle. The numbers suggest a likely 1-1 scoreline, aligning with the modest over 2.5 goals lean at 58%. Yet, the real tantalizing prospect lies in the value on offer for a Cottbus victory at long odds. For those willing to gamble on an improbable upset, it's a tantalizing proposition.

    WolfsburgWolfsburg
    Form DWW
    League ranking xG #2xGA #2xT #4xP/match #1Points #3
    Key players
    • Joakim MæhleRWBxG 0.04 · xT 0.22
    • Fabian ReeseLWxG 0.59 · xT 0.27
    • Vini SouzaCDMxG 0.06 · xT 0.09
    Energie CottbusEnergie Cottbus
    Form WLL
    League ranking xG #11xGA #18xT #12xP/match #17Points #13
    Key players
    • Lucas CopadoFxG 0.27 · xT 0.07
    • Tolcay CigerciRWxG 0.61 · xT 0.30
    • Jannis BoziarisCAMxG 0.05 · xT -0.08
    Final score
    44
    The model missed the outcome
    Predicted probabilities: Wolfsburg 44% · Draw 27% · Energie Cottbus 29%

    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 - Energie CottbusBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 22,16fair 9,73+128 %
    Miss
    Matchresultat - VfL WolfsburgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,24fair 7,02-54 %
    Miss

    Match prediction: WolfsburgEnergie Cottbus

    Predicted score matrix

    Energie Cottbus
    Wolfsburg
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–16.4%
    0–24.7%
    0–32.2%
    0–4+1.0%
    1
    1–07.6%
    1–111.3%
    1–27.7%
    1–33.6%
    1–4+1.7%
    2
    2–06.5%
    2–19.0%
    2–26.3%
    2–32.9%
    2–4+1.4%
    3
    3–03.5%
    3–14.9%
    3–23.4%
    3–31.6%
    3–4+0.8%
    4+
    4+–02.1%
    4+–12.9%
    4+–22.0%
    4+–30.9%
    4+–4+0.4%
    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. 4.1-08%
    5. 5.2-06%
    Expected goals
    1,641,39
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.75EV+15%
    Over 2,558%
    @1.39

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Wolfsburg or draw (1X)68%
    • Over 1.5 goals81%

    Combined probability

    55%

    Fair odds

    1.82

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

    02 · 3 legs

    Balanced

    • Double chance Wolfsburg or draw (1X)68%
    • Over 2.5 goals58%
    • Dženan Pejčinović 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 score61%
    • Over 2.5 goals58%
    • Dženan Pejčinović to score27%
    • Nyamekye Awortwie-Grant 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+).

    • 2 · Energie Cottbus29% probability@8.00BetsafeEV+131%reference odds
    • 2 · Energie Cottbus29% probability@8.00BetssonEV+131%reference odds
    • 2 · Energie Cottbus29% probability@8.00NordicbetEV+131%reference odds
    Bookmaker1 · WolfsburgX2 · Energie Cottbus
    Betsafe1.28
    EV+ 47%
    5.35
    EV+ 131%
    8.00
    Betsson1.28
    EV+ 47%
    5.35
    EV+ 131%
    8.00
    Nordicbet1.28
    EV+ 47%
    5.35
    EV+ 131%
    8.00
    Pinnacle1.41
    EV+ 38%
    5.03
    EV+ 125%
    7.77

    Odds updated 5 Sept, 10:32

    Odds movement

    1-1 %
    76 %66 %

    1.421.41

    X+11 %
    24 %14 %

    4.545.03

    2+2 %
    16 %6 %

    7.647.77

    Pinnacle · 19 recorded price levels · 31/08/2026 → 05/09/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Wolfsburg
    Energie Cottbus
    When goals are scored and conceded 2026
    Wolfsburg (62)
    Energie Cottbus (68)
    Pass networks

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

    Wolfsburg
    Hauke Finn Wahl: 181 passningar, xT 0.59WahlVini Souza: 127 passningar, xT 0.2SouzaMathys Angély: 121 passningar, xT 0.19AngélyElvis Rexhbeçaj: 110 passningar, xT 0.35RexhbeçajJakub Zieliński: 107 passningar, xT 0.16ZielińskiMuhammed Mehmet Damar: 97 passningar, xT 0.21DamarFabian Reese: 96 passningar, xT 0.73ReeseKilian Fischer: 90 passningar, xT 0.09FischerJoakim Mæhle: 79 passningar, xT 0.56MæhleSael Kumbedi: 77 passningar, xT 0.19KumbediFraser Hornby: 32 passningar, xT 0.02Hornby
    Energie Cottbus
    Leonardo Jesus Loureiro Bittencourt: 140 passningar, xT 0.58BittencourtKing Manu: 101 passningar, xT 0.18ManuMarcel Lotka: 97 passningar, xT 0.11LotkaLuca Erlein: 97 passningar, xT 0.06ErleinFousseny Max Doumbia: 95 passningar, xT 0.05DoumbiaLukas Michelbrink: 83 passningar, xT -0.02MichelbrinkDominik Pelivan: 82 passningar, xT 0.02PelivanTolcay Cigerci: 75 passningar, xT 0.6CigerciHenry Rorig: 67 passningar, xT 0.12RorigAxel Borgmann: 56 passningar, xT 0.1BorgmannLucas Copado: 42 passningar, xT 0.07Copado
    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.

    Wolfsburg
    Hauke Finn Wahl: 181 passningar, xT 0.59WahlVini Souza: 127 passningar, xT 0.2SouzaMathys Angély: 121 passningar, xT 0.19AngélyElvis Rexhbeçaj: 110 passningar, xT 0.35RexhbeçajJakub Zieliński: 107 passningar, xT 0.16ZielińskiMuhammed Mehmet Damar: 97 passningar, xT 0.21DamarFabian Reese: 96 passningar, xT 0.73ReeseKilian Fischer: 90 passningar, xT 0.09FischerJoakim Mæhle: 79 passningar, xT 0.56MæhleSael Kumbedi: 77 passningar, xT 0.19KumbediFraser Hornby: 32 passningar, xT 0.02Hornby
    Energie Cottbus
    Leonardo Jesus Loureiro Bittencourt: 140 passningar, xT 0.58BittencourtKing Manu: 101 passningar, xT 0.18ManuMarcel Lotka: 97 passningar, xT 0.11LotkaLuca Erlein: 97 passningar, xT 0.06ErleinFousseny Max Doumbia: 95 passningar, xT 0.05DoumbiaLukas Michelbrink: 83 passningar, xT -0.02MichelbrinkDominik Pelivan: 82 passningar, xT 0.02PelivanTolcay Cigerci: 75 passningar, xT 0.6CigerciHenry Rorig: 67 passningar, xT 0.12RorigAxel Borgmann: 56 passningar, xT 0.1BorgmannLucas Copado: 42 passningar, xT 0.07Copado

    The teams in numbers

    PerformanceWolfsburgEnergie Cottbus
    Points73
    xPoints5.32.9
    xG per match2.21.6
    xGA per match1.12.7
    xG within 8s of winning the ball0.370.07
    xGA within 8s of losing the ball0.220.48
    Playing styleWolfsburgEnergie Cottbus
    Build-up efficiency0.310.32
    Field tilt0.60.56
    xT per match1.50.86
    xTA per match0.891.3
    Won balls, offensive half2618
    Pressing intensity0.240.24
    Pressing efficiency0.290.3
    Pressing efficiency, offensive half0.260.25
    Entries into the box per match1612
    Entries into the box against1316
    Pass completion %0.790.76
    Pass completion % under pressure0.740.7
    Passes per match420371
    Passes against per match305318
    Switches of play per match22.822.7
    Long balls per match3729
    Set piecesWolfsburgEnergie Cottbus
    xG from free kicks0.110.15
    Corners per match7.77.3
    Corners against per match6.76.3
    xG per corner0.060.02
    xGA per corner against0.010.01
    First touch, offensive corners %0.360.48
    First touch, defensive corners %0.40.63
    OtherWolfsburgEnergie Cottbus
    Throw-in control0.760.73
    The goalkeepersJakub Zieliński (Wolfsburg)Marcel Lotka (Energie Cottbus)
    Saves815
    Save %80%68%
    xG prevented84%39%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Wolfsburg vs Energie Cottbus according to our model?

    The model gives Wolfsburg a 44% win probability. Full 1X2 picture: Wolfsburg 44%, draw 27%, Energie Cottbus 29%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.