Greek Super League19°6,5 mm25 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

    Prediction summary

    BetBuilders AI model prediction for PAOK vs Kalamata (Greek Super League, Monday, 12 October 2026): PAOK win 78%, draw 13%, Kalamata win 9%. Expected goals (xG): PAOK 2.66, Kalamata 0.70. Most likely score: 2-0 (12%). Over 2.5 goals 65%, both teams to score 47%. Double chance: PAOK or draw 91%, Kalamata or draw 22%. Prediction updated Friday, 2 October 2026.

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    Analysis: PAOK – Kalamata

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

    PAOK's ability to find the back of the net in nine consecutive league matches underscores their attacking consistency. This offensive reliability is bolstered by an expected goals (xG) rate of 1.9 per match, significantly higher than Kalamata's 1.1. Playing at home, where they historically secure victories in 68% of their games, the hosts are well-positioned to maintain their scoring streak against a defensively porous opponent.

    Kalamata, on the other hand, will likely struggle to contain this offensive threat. Their defensive metrics reflect vulnerability, with an expected goals against (xGA) of 1.6 per match compared to PAOK's 1.4. Given their reliance on counter-attacks and crosses, they may find it difficult to generate scoring opportunities against a team that emphasizes balance and physicality.

    The model heavily favors PAOK with a 78% win probability, and the most probable outcomes—2-0 and 3-0—suggest a comfortable win for the home side. While the over 2.5 goals market is set at 65%, the expected rain could temper the goal tally somewhat. Still, given PAOK's form and Kalamata's defensive frailties, backing the over appears reasonable.

    For those seeking value, there may be an opportunity with PAOK’s win odds. With most likely scorelines pointing to a multi-goal margin, backing PAOK to win with a -1.5 handicap could offer better returns. However, the safest play remains a straightforward PAOK win, given both teams’ current form and performance metrics.

    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%
    @2.60
    Over 2,565%
    @1.46

    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

    Bookmaker1 · PAOKX2 · Kalamata
    Betsafe1.206.1010.50
    LeoVegas1.196.2511.00
    Nordicbet1.206.1010.50

    Odds updated 9 Oct, 02:37

    Odds movement

    1+1 %
    80 %75 %

    1.18 → 1.19

    X0 %
    17 %12 %

    6.25 → 6.25

    20 %
    11 %6 %

    11.00 → 11.00

    LeoVegas · 11 recorded price levels · 05/10/2026 → 09/10/2026 · fixed scale 5 percentage points

    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.

    How many goals are expected in PAOK vs Kalamata?

    The model expects 2.66 goals (xG) for PAOK and 0.70 for Kalamata, 3.36 in total.

    What does the model say about double chance?

    PAOK or draw (1X) 91%, Kalamata or draw (X2) 22% and no draw (12) 87%.

    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.