Greek Super League19°25 km/h

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    PAOKPAOKBalanced & physical
    vs
    KalamataKalamataCounter-attacks & crosses
    The model's lean: 1 · PAOK (78%)
    Limited data — The model has few previous matches with these teams in this league — the forecast therefore rests on thinner data than usual.

    PAOK vs Kalamata · Greek Super League

    1 · PAOK 78%X 13%9% Kalamata · 2

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    Analysis: PAOK – Kalamata

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

    Between PAOK and Kalamata, the matchup is tipped heavily in favor of the hosts. Though their head-to-head history is brief, the numbers indicate a clear advantage for PAOK in this clash. With a 78% chance of winning and a model leaning towards them, PAOK's dominance is evident across the board. The expected goals tell the story: PAOK at 2.66 compared to Kalamata's 0.70 underscores the substantial gap in offensive capabilities.

    PAOK's current form is hard to overlook. They have consistently found the net in their last nine league matches, suggesting that breaking through Kalamata’s defense should not be an arduous task. Their play style—a balanced mix of physicality and precision—only adds to their home advantage, where they historically win 68% of their games. Meanwhile, Kalamata's reliance on counter-attacks and crosses is unlikely to yield much against a team that rarely lets its guard down at home.

    The likely scorelines of 2-0 or 3-0 for PAOK reflect their superiority and align with the 65% probability of the game producing over 2.5 goals. Although the chance of both teams scoring stands at 47%, Kalamata's underwhelming expected goals and goals-against metrics do little to bolster confidence in them breaching PAOK's defense.

    Evaluating the betting landscape, the value proposition lies in backing PAOK at a decent odd, if available, considering the overwhelming data in their favor. Given the circumstances, a play on PAOK to win with a clean sheet could offer additional intrigue. Look for odds on that specific angle, potentially offering a sharper edge.

    PAOKPAOK
    Form WWLWW
    League ranking xG #3xGA #8xT #6xP/match #2Points #2
    Key players
    • Shola ShoretireLWxG 0.51 · xT -0.07
    • Abdul Rahman BabaLWBxG 0.09 · xT 0.09
    • Andrija ZivkovicRWxG 0.45 · xT 0.40
    KalamataKalamata
    Form LLDWL
    League ranking xG #7xGA #12xT #10xP/match #7Points #10
    Key players
    • Ahmad Mendes MoreiraLWxG 0.21 · xT 0.16
    • Erik HamzaFxG 0.16 · xT 0.02
    • Jovanny David Bolívar AlvaradoFxG 0.32 · xT 0.02

    Match prediction: PAOK – Kalamata

    Predicted score matrix

    Kalamata →
    PAOK →
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–12.2%
    0–20.9%
    0–30.2%
    0–4+0.0%
    1
    1–09.0%
    1–16.7%
    1–22.3%
    1–30.5%
    1–4+0.1%
    2
    2–012.3%
    2–18.6%
    2–23.0%
    2–30.7%
    2–4+0.1%
    3
    3–010.9%
    3–17.6%
    3–22.7%
    3–30.6%
    3–4+0.1%
    4+
    4+–013.8%
    4+–19.6%
    4+–23.4%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-012%
    2. 2.3-011%
    3. 3.1-09%
    4. 4.2-19%
    5. 5.3-18%
    Expected goals
    2,66–0,70
    Both teams to score
    47%

    Over/under goals

    Expected goals: 3,4
    Under 2,535%
    –
    Over 2,565%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • PAOK to win78%
    • Over 1.5 goals85%

    Combined probability

    70%

    Fair odds

    1.44

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

    02 · 3 legs

    Balanced

    • PAOK to win78%
    • Over 2.5 goals65%
    • Pape Cherif Ndiaye to score36%

    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 goals65%
    • Pape Cherif Ndiaye to score36%
    • Erik Hamza 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

    No odds available yet.

    Statistics

    Key facts

    • PAOK Thessaloniki have scored in 9 consecutive league matches.
    • PAOK Thessaloniki win 68% of their home matches all-time (34 played).
    xG & xGA per match — 3-game rolling average

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

    PAOK
    Kalamata
    When goals are scored and conceded — 2026
    PAOK (12–5)
    Kalamata (6–8)
    Pass networks

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

    PAOK
    Jonjoe Kenny: 159 passningar, xT 0.58KennyGiannis Michailidis: 149 passningar, xT 0.26MichailidisAbdul Rahman Baba: 139 passningar, xT 0.22BabaAritz Elustondo: 126 passningar, xT 0.19ElustondoAndrija Zivkovic: 110 passningar, xT 1.59ZivkovicChristos Zafeiris: 95 passningar, xT -0.06ZafeirisDimitris Pelkas: 78 passningar, xT 0.2PelkasJiri Pavlenka: 69 passningar, xT 0.03PavlenkaGreg John Taylor: 58 passningar, xT 0.13TaylorTaison Barcellos Freda: 51 passningar, xT 0.16FredaPape Cherif Ndiaye: 46 passningar, xT -0.39Ndiaye
    Kalamata
    Stefanos Stroungis: 200 passningar, xT 0.37StroungisAntônio Josenildo Rodrigues de Oliveira: 167 passningar, xT 0.21OliveiraJulio Alonso Sosa: 122 passningar, xT 0.53SosaPetros Kaloutsikidis: 111 passningar, xT 0.59KaloutsikidisGonzalo Agustín Piñeiro: 100 passningar, xT 0.08PiñeiroIoannis Gelios: 82 passningar, xT 0.01GeliosJuan Cataldi: 69 passningar, xT 0.46CataldiErik Hamza: 62 passningar, xT 0.08HamzaAhmad Mendes Moreira: 60 passningar, xT 0.73MoreiraDjibril Diarra: 52 passningar, xT 0.1DiarraJulián Bonetto: 43 passningar, xT 0.36Bonetto
    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.

    PAOK
    Jonjoe Kenny: 159 passningar, xT 0.58KennyGiannis Michailidis: 149 passningar, xT 0.26MichailidisAbdul Rahman Baba: 139 passningar, xT 0.22BabaAritz Elustondo: 126 passningar, xT 0.19ElustondoAndrija Zivkovic: 110 passningar, xT 1.59ZivkovicChristos Zafeiris: 95 passningar, xT -0.06ZafeirisDimitris Pelkas: 78 passningar, xT 0.2PelkasJiri Pavlenka: 69 passningar, xT 0.03PavlenkaGreg John Taylor: 58 passningar, xT 0.13TaylorTaison Barcellos Freda: 51 passningar, xT 0.16FredaPape Cherif Ndiaye: 46 passningar, xT -0.39Ndiaye
    Kalamata
    Stefanos Stroungis: 200 passningar, xT 0.37StroungisAntônio Josenildo Rodrigues de Oliveira: 167 passningar, xT 0.21OliveiraJulio Alonso Sosa: 122 passningar, xT 0.53SosaPetros Kaloutsikidis: 111 passningar, xT 0.59KaloutsikidisGonzalo Agustín Piñeiro: 100 passningar, xT 0.08PiñeiroIoannis Gelios: 82 passningar, xT 0.01GeliosJuan Cataldi: 69 passningar, xT 0.46CataldiErik Hamza: 62 passningar, xT 0.08HamzaAhmad Mendes Moreira: 60 passningar, xT 0.73MoreiraDjibril Diarra: 52 passningar, xT 0.1DiarraJulián Bonetto: 43 passningar, xT 0.36Bonetto

    The teams in numbers

    PerformancePAOKKalamata
    Points124
    xPoints96.6
    xG per match1.91.1
    xGA per match1.41.6
    xG within 8s of winning the ball0.280.1
    xGA within 8s of losing the ball0.150.42
    Playing stylePAOKKalamata
    Build-up efficiency0.320.26
    Field tilt0.460.34
    xT per match10.98
    xTA per match1.21.3
    Won balls, offensive half2426
    Pressing intensity0.230.25
    Pressing efficiency0.240.32
    Pressing efficiency, offensive half0.230.33
    Entries into the box per match139
    Entries into the box against1215
    Pass completion %0.720.72
    Pass completion % under pressure0.670.66
    Passes per match292247
    Passes against per match375329
    Switches of play per match16.820
    Long balls per match2625
    Set piecesPAOKKalamata
    xG from free kicks0.030.12
    Corners per match3.83
    Corners against per match4.56.1
    xG per corner0.050.04
    xGA per corner against0.030.02
    First touch, offensive corners %0.420.4
    First touch, defensive corners %0.640.65
    OtherPAOKKalamata
    Throw-in control0.640.69
    The goalkeepersJiri Pavlenka (PAOK)Ioannis Gelios (Kalamata)
    Saves1410
    Save %78%59%
    xG prevented73%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins PAOK vs Kalamata according to our model?

    The model gives PAOK a 78% win probability. Full 1X2 picture: PAOK 78%, draw 13%, Kalamata 9%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 12% 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 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.