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    KifisiaKifisiaLow block & direct
    vs
    PanetolikosPanetolikosLow block & direct
    The model's lean: 1 · Kifisia (48%)Best value by the model: X · Draw @ 3.41 (+6 %)

    Kifisia vs Panetolikos · Greek Super League

    1 · Kifisia 48%X 31%21% Panetolikos · 2

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    Analysis: Kifisia – Panetolikos

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

    A tale of two contrasting metrics looms over the clash between Kifisia and Panetolikos: actual points and expected points. On paper, Panetolikos holds the upper hand, having accumulated nine points compared to Kifisia’s five. Yet, delve into the expected metrics and the narrative shifts dramatically—Kifisia should theoretically edge their rivals, boasting 7.9 xPoints to Panetolikos’ 5.8. This discrepancy hints that the hosts have perhaps endured a touch of misfortune, making them an intriguing prospect for bettors.

    The model’s probabilities strongly favor Kifisia with a 48% chance of victory, compared to a mere 21% for Panetolikos. This aligns with the expected goals, where Kifisia leads 1.50 to 0.91, suggesting they can create more and better chances. Despite only four head-to-head matchups since 2023, which limits their predictive power, the teams are evenly split with one win apiece and two draws. However, the real story here is Kifisia’s potential to capitalize on their underlying numbers.

    Given that both teams profile similarly as low defense and direct, the match might not yield a flurry of goals. The model forecasts the most likely scorelines as 1-0 or 1-1, each at 13%, with a combined over 2.5 goals probability of just 43%. Even the both teams to score metric sits at a slender 47%, reinforcing the expectation of a tighter affair. It seems that a single goal could tip the balance, likely in favor of the home side.

    For bettors, the value lies in Kifisia’s win odds. With the market perhaps overestimating Panetolikos based on their point tally, backing the hosts could be a shrewd move. Look for odds close to the model’s implied probability to enhance your expected value. The numbers suggest a 1-0 victory for Kifisia, a result that would finally translate their underlying potential into tangible success.

    KifisiaKifisia
    Form DLLDW
    League ranking xG #6xGA #4xT #4xP/match #5Points #9
    Key players
    • Jorge Marcos Pombo EscobarLWxG 0.48 · xT 0.22
    • Konstantinos RoukounakisCDMxG 0.01 · xT 0.14
    • Jeremy Cornelis Jacobus AntonisseLWxG 0.03 · xT 0.04
    PanetolikosPanetolikos
    Form WWWLL
    League ranking xG #10xGA #14xT #12xP/match #11Points #6
    Key players
    • Charalampos MavriasRWBxG 0.06 · xT 0.10
    • Diego Esteban PerezRWxG 0.10 · xT 0.07
    • Christian Manrique DíazLBxG 0.03 · xT 0.06

    Match prediction: Kifisia – Panetolikos

    Predicted score matrix

    Panetolikos →
    Kifisia →
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–17.8%
    0–23.7%
    0–31.1%
    0–4+0.3%
    1
    1–013.1%
    1–112.6%
    1–25.6%
    1–31.7%
    1–4+0.5%
    2
    2–010.1%
    2–19.2%
    2–24.2%
    2–31.3%
    2–4+0.4%
    3
    3–05.1%
    3–14.6%
    3–22.1%
    3–30.6%
    3–4+0.2%
    4+
    4+–02.7%
    4+–12.4%
    4+–21.1%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-113%
    3. 3.2-010%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,50–0,91
    Both teams to score
    47%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.69
    Over 2,543%
    @2.15

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Kifisia to win48%
    • Under 3.5 goals78%

    Combined probability

    38%

    Fair odds

    2.67

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

    02 · 3 legs

    Balanced

    • Kifisia to win48%
    • Under 2.5 goals57%
    • Angelo Nicolas Sagal Tapia to score18%

    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 score47%
    • Over 2.5 goals43%
    • Angelo Nicolas Sagal Tapia to score18%
    • Nikola Stajić 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+).

    • X · Draw31% probability@3.41PinnacleEV+6%reference odds
    • X · Draw31% probability@3.25BetsafeEV+1%reference odds
    • X · Draw31% probability@3.25NordicbetEV+1%reference odds
    Bookmaker1 · KifisiaX2 · Panetolikos
    Betsafe1.92
    EV+ 1%
    3.25
    3.80
    Nordicbet1.92
    EV+ 1%
    3.25
    3.80
    Pinnacle1.91
    EV+ 6%
    3.41
    4.07

    Odds updated 2 Oct, 07:37

    Statistics

    Head-to-head

    4 matches
    Kifisia 1Draw 2Panetolikos 1
    Goals: 3–3 (⌀ 1,5)

    Head-to-head based on Greek Super League data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Kifisia
    Panetolikos
    When goals are scored and conceded — 2026
    Kifisia (4–7)
    Panetolikos (8–7)
    Pass networks

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

    Kifisia
    Konstantinos Roukounakis: 194 passningar, xT 0.65RoukounakisHugo Filipe Gonçalves Martins de Sousa: 188 passningar, xT 0.14SousaWellington Moisés Ramírez Preciado: 159 passningar, xT 0.14PreciadoLeroy Abanda: 142 passningar, xT 1.02AbandaClément Jolibois Houilliez: 133 passningar, xT 0.13HouilliezJorge Marcos Pombo Escobar: 119 passningar, xT 0.31EscobarBernardo Sousa Pereira Brites Martins: 115 passningar, xT 0.69MartinsTiago Miguel Silva Manso: 82 passningar, xT 0.31MansoJeremy Cornelis Jacobus Antonisse: 73 passningar, xT 0.09AntonisseAleks Milenov Petkov: 57 passningar, xT 0.08PetkovAngelo Nicolas Sagal Tapia: 48 passningar, xT -0.03Tapia
    Panetolikos
    Charalampos Mavrias: 160 passningar, xT 0.34MavriasGustav Frans Vallentin Granath: 146 passningar, xT 0.46GranathYevhen Kucherenko: 120 passningar, xT 0.2KucherenkoAmine Bassi: 107 passningar, xT 0.17BassiDiego Esteban Perez: 91 passningar, xT 0.2PerezNikola Stajic: 90 passningar, xT 0.11StajicNovica Eraković: 82 passningar, xT 0.04ErakovićLazar Kojić: 67 passningar, xT 0.2KojićGiannis Satsias: 66 passningar, xT -0.05SatsiasChristian Manrique Díaz: 64 passningar, xT 0.14DíazMarvelous Nakamba: 58 passningar, xT 0.1Nakamba
    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.

    Kifisia
    Konstantinos Roukounakis: 194 passningar, xT 0.65RoukounakisHugo Filipe Gonçalves Martins de Sousa: 188 passningar, xT 0.14SousaWellington Moisés Ramírez Preciado: 159 passningar, xT 0.14PreciadoLeroy Abanda: 142 passningar, xT 1.02AbandaClément Jolibois Houilliez: 133 passningar, xT 0.13HouilliezJorge Marcos Pombo Escobar: 119 passningar, xT 0.31EscobarBernardo Sousa Pereira Brites Martins: 115 passningar, xT 0.69MartinsTiago Miguel Silva Manso: 82 passningar, xT 0.31MansoJeremy Cornelis Jacobus Antonisse: 73 passningar, xT 0.09AntonisseAleks Milenov Petkov: 57 passningar, xT 0.08PetkovAngelo Nicolas Sagal Tapia: 48 passningar, xT -0.03Tapia
    Panetolikos
    Charalampos Mavrias: 160 passningar, xT 0.34MavriasGustav Frans Vallentin Granath: 146 passningar, xT 0.46GranathYevhen Kucherenko: 120 passningar, xT 0.2KucherenkoAmine Bassi: 107 passningar, xT 0.17BassiDiego Esteban Perez: 91 passningar, xT 0.2PerezNikola Stajic: 90 passningar, xT 0.11StajicNovica Eraković: 82 passningar, xT 0.04ErakovićLazar Kojić: 67 passningar, xT 0.2KojićGiannis Satsias: 66 passningar, xT -0.05SatsiasChristian Manrique Díaz: 64 passningar, xT 0.14DíazMarvelous Nakamba: 58 passningar, xT 0.1Nakamba

    The teams in numbers

    PerformanceKifisiaPanetolikos
    Points59
    xPoints7.95.8
    xG per match1.20.91
    xGA per match1.11.8
    xG within 8s of winning the ball0.160.19
    xGA within 8s of losing the ball0.290.28
    Playing styleKifisiaPanetolikos
    Build-up efficiency0.350.33
    Field tilt0.470.35
    xT per match1.10.65
    xTA per match1.31.3
    Won balls, offensive half1925
    Pressing intensity0.240.25
    Pressing efficiency0.280.29
    Pressing efficiency, offensive half0.240.24
    Entries into the box per match109
    Entries into the box against1217
    Pass completion %0.770.71
    Pass completion % under pressure0.750.67
    Passes per match310261
    Passes against per match395383
    Switches of play per match28.625.7
    Long balls per match3337
    Set piecesKifisiaPanetolikos
    xG from free kicks0.020.04
    Corners per match4.43.2
    Corners against per match4.25.5
    xG per corner0.030.04
    xGA per corner against0.010.04
    First touch, offensive corners %0.50.5
    First touch, defensive corners %0.570.67
    OtherKifisiaPanetolikos
    Throw-in control0.750.59
    The goalkeepersWellington Moisés Ramírez Preciado (Kifisia)Yevhen Kucherenko (Panetolikos)
    Saves1518
    Save %68%72%
    xG prevented44%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kifisia vs Panetolikos according to our model?

    The model gives Kifisia a 48% win probability. Full 1X2 picture: Kifisia 48%, draw 31%, Panetolikos 21%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 47% 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.