Greek Super League26°18 km/h

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    KalamataKalamataCounter-attacks & crosses
    vs
    VolosVolosPossession control
    The model's lean: 2 · Volos (44%)Best value by the model: Over 4,5 @ 9.20 (+43 %)
    Limited dataThe model has few previous matches with these teams in this league — the forecast therefore rests on thinner data than usual.

    KalamataVolos · Greek Super League

    1 · Kalamata 32%X 24%44% Volos · 2

    Analysis: KalamataVolos

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Kalamata's counter-attacking approach will clash with Volos's possession-heavy style in a match poised to be a strategic battle. The hosts lean on quick transitions and crossing into the box, hoping to exploit any gaps left by the visitors, who will try to dictate the flow of the game through ball control. With Volos slightly edged in both xPoints and xG per match, they appear marginally better equipped to handle the dynamics of this encounter.

    Recent form offers a clear picture: Volos holds a slim advantage with their higher expected goals per match (0.94 to Kalamata’s 0.82) and superior defensive metrics, allowing just 1.2 xGA compared to Kalamata’s concerning 1.9. Despite these statistical edges, the expected goals for both sides hover closely around 1.4, suggesting chances for both teams. This could tilt the scales towards a balanced contest, reflected in the most likely scorelines being 1-1 and 1-2.

    While the model probabilities give Volos a 44% chance of victory, the goal market hints at possibilities for fireworks. The over 2.5 goals sits at 53%, with both teams to score at 57%, indicating a fair amount of goalmouth action. Given the small head-to-head sample, which diminishes its predictive weight, the focus remains on current form and expected goals.

    The standout betting angle lies in the over 3.5 goals market, with Betsson offering odds at 4.3, presenting a 34% edge as rated by the model. For those seeking higher returns, over 4.5 at 8.6 also holds value with a 33% edge. The model’s assessment suggests that while a tighter scoreline is probable, the high-edge odds on more goals should not be overlooked.

    KalamataKalamata
    Form LLD
    League ranking xG #12xGA #13xT #7xP/match #13Points #11
    Key players
    • Ahmad Mendes MoreiraFxG 0.08 · xT 0.06
    • Jovanny David Bolívar AlvaradoFxG 0.16 · xT 0.04
    • Juan CataldiFxG 0.04 · xT 0.16
    VolosVolos
    Form LLLDD
    League ranking xG #9xGA #7xT #8xP/match #9Points #8
    Key players
    • Vasileios GrosdisCMxG 0.00 · xT 0.03
    • Maximiliano CombaFxG 0.11 · xT 0.04
    • Lazaros LamprouLWxG 0.01 · xT 0.24

    Match prediction: KalamataVolos

    Predicted score matrix

    Volos
    Kalamata
    0
    1
    2
    3
    4+
    0
    0–06.3%
    0–18.1%
    0–26.0%
    0–32.8%
    0–4+1.4%
    1
    1–08.0%
    1–112.2%
    1–28.4%
    1–34.0%
    1–4+1.9%
    2
    2–05.9%
    2–18.3%
    2–25.9%
    2–32.8%
    2–4+1.3%
    3
    3–02.7%
    3–13.9%
    3–22.7%
    3–31.3%
    3–4+0.6%
    4+
    4+–01.3%
    4+–11.9%
    4+–21.3%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-28%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-08%
    Expected goals
    1,401,42
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @1.58
    Over 2,553%
    @2.40EV+27%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Volos or draw (X2)63%
    • Over 1.5 goals78%

    Combined probability

    49%

    Fair odds

    2.04

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

    02 · 3 legs

    Balanced

    • Double chance Volos or draw (X2)63%
    • Over 2.5 goals53%
    • Jan Carlos Hurtado Anchico 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 score57%
    • Over 2.5 goals53%
    • Ahmad Mendes Moreira to score33%
    • Ioannis Bouzoukis to be booked27%

    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+).

    • Over 4.516% probability@9.20BetssonEV+43%reference odds
    • Over 3.531% probability@4.50BetssonEV+40%reference odds
    • Over 3.531% probability@4.50Paddy PowerEV+40%reference odds
    Bookmaker1 · KalamataX2 · Volos
    Betsafe2.483.00
    EV+ 25%
    2.85
    Betsson2.483.05
    EV+ 27%
    2.88
    Nordicbet2.483.00
    EV+ 25%
    2.85
    Paddy Power2.383.00
    EV+ 23%
    2.80
    Pinnacle2.533.13
    EV+ 28%
    2.91

    Odds updated 10 Sept, 22:28

    Odds movement

    10 %
    40 %35 %

    2.542.53

    X+1 %
    33 %28 %

    3.093.13

    2-1 %
    35 %30 %

    2.932.91

    Pinnacle · 5 recorded price levels · 07/09/2026 → 10/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Kalamata
    Volos
    When goals are scored and conceded 2026
    Kalamata (36)
    Volos (24)
    Pass networks

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

    Kalamata
    Stefanos Stroungis: 123 passningar, xT 0.25StroungisAntônio Josenildo Rodrigues de Oliveira: 102 passningar, xT 0.12OliveiraJulio Alonso Sosa: 75 passningar, xT 0.32SosaIoannis Gelios: 58 passningar, xT 0GeliosJuan Cataldi: 58 passningar, xT 0.41CataldiPetros Kaloutsikidis: 57 passningar, xT 0.08KaloutsikidisErik Hamza: 41 passningar, xT 0.12HamzaGonzalo Agustín Piñeiro: 38 passningar, xT 0.04PiñeiroAhmad Mendes Moreira: 36 passningar, xT 0.12MoreiraDjibril Diarra: 35 passningar, xT 0DiarraJulián Bonetto: 27 passningar, xT 0.02Bonetto
    Volos
    Giannis Kargas: 107 passningar, xT 0.08KargasHatim Essaoubi: 99 passningar, xT 0.15EssaoubiKeidi Bare: 80 passningar, xT 0.07BareMarios Siampanis: 72 passningar, xT 0.06SiampanisHamza Mendyl: 66 passningar, xT 0.23MendylGeorgios Mygas: 63 passningar, xT 0.28MygasJorge Samuel Figueiredo Fernandes: 56 passningar, xT -0.02FernandesVasileios Grosdis: 55 passningar, xT 0.03GrosdisMaximiliano Comba: 50 passningar, xT 0.08CombaMatías Nahuel González: 49 passningar, xT 0.12GonzálezLazaros Lamprou: 48 passningar, xT 0.45Lamprou
    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.

    Kalamata
    Stefanos Stroungis: 123 passningar, xT 0.25StroungisAntônio Josenildo Rodrigues de Oliveira: 102 passningar, xT 0.12OliveiraJulio Alonso Sosa: 75 passningar, xT 0.32SosaIoannis Gelios: 58 passningar, xT 0GeliosJuan Cataldi: 58 passningar, xT 0.41CataldiPetros Kaloutsikidis: 57 passningar, xT 0.08KaloutsikidisErik Hamza: 41 passningar, xT 0.12HamzaGonzalo Agustín Piñeiro: 38 passningar, xT 0.04PiñeiroAhmad Mendes Moreira: 36 passningar, xT 0.12MoreiraDjibril Diarra: 35 passningar, xT 0DiarraJulián Bonetto: 27 passningar, xT 0.02Bonetto
    Volos
    Giannis Kargas: 107 passningar, xT 0.08KargasHatim Essaoubi: 99 passningar, xT 0.15EssaoubiKeidi Bare: 80 passningar, xT 0.07BareMarios Siampanis: 72 passningar, xT 0.06SiampanisHamza Mendyl: 66 passningar, xT 0.23MendylGeorgios Mygas: 63 passningar, xT 0.28MygasJorge Samuel Figueiredo Fernandes: 56 passningar, xT -0.02FernandesVasileios Grosdis: 55 passningar, xT 0.03GrosdisMaximiliano Comba: 50 passningar, xT 0.08CombaMatías Nahuel González: 49 passningar, xT 0.12GonzálezLazaros Lamprou: 48 passningar, xT 0.45Lamprou

    The teams in numbers

    PerformanceKalamataVolos
    Points12
    xPoints2.83.2
    xG per match0.820.94
    xGA per match1.91.2
    xG within 8s of winning the ball0.050.24
    xGA within 8s of losing the ball0.480.3
    Playing styleKalamataVolos
    Build-up efficiency0.280.3
    Field tilt0.380.57
    xT per match0.890.88
    xTA per match1.10.38
    Won balls, offensive half2525
    Pressing intensity0.260.21
    Pressing efficiency0.340.29
    Pressing efficiency, offensive half0.330.2
    Entries into the box per match99
    Entries into the box against168
    Pass completion %0.720.74
    Pass completion % under pressure0.690.65
    Passes per match244278
    Passes against per match293322
    Switches of play per match19.225.9
    Long balls per match2729
    Set piecesKalamataVolos
    xG from free kicks0.190.17
    Corners per match21.3
    Corners against per match7.25.2
    xG per corner0.030.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.50.75
    First touch, defensive corners %0.590.62
    OtherKalamataVolos
    Throw-in control0.690.71
    The goalkeepersStefanos Stroungis (Kalamata)Marios Siampanis (Volos)
    Saves83
    Save %100%50%
    xG prevented100%11%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Kalamata vs Volos according to our model?

    The model gives Volos a 44% win probability. Full 1X2 picture: Kalamata 32%, draw 24%, Volos 44%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.