Greek Super League23°11 km/h

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    VolosVolosPossession control
    vs
    AEK AthensAEK AthensPossession control
    The model's lean: 2 · AEK Athens (68%)Best value by the model: 1 · Volos @ 9.50 (+14 %)

    Volos vs AEK Athens · Greek Super League

    1 · Volos 12%X 20%68% AEK Athens · 2

    Analysis: VolosAEK Athens

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

    TEXT:

    A key factor in the upcoming match is the formidable unbeaten streak of AEK Athens, now stretching to 28 league games. This consistency speaks volumes about their defensive solidity and tactical discipline. Their possession control style complements this, often stifling opponents by denying them the ball and dictating the pace of matches. In contrast, Volos, despite also favoring possession, struggle to convert it into tangible results, as evidenced by their modest tally of just two points this season.

    AEK Athens' supremacy is further underlined by their expected goals metrics: AEK Athens boast an average of 2.4 xG per match, a stark contrast to Volos' 0.93. This discrepancy highlights a significant gulf in attacking capability. Moreover, Athens' defense, allowing just 0.87 xGA per match, is much tighter than Volos', who concede 1.4 xGA on average. AEK Athens' capacity to both create chances and limit opposition opportunities makes them daunting adversaries for Volos.

    Volos have managed only one draw from their four head-to-head encounters with Athens since 2023, and given the small sample size, these results weigh less heavily compared to current form and expected goals. Yet, they still hint at a recurring struggle when facing Athens. The likelihood of a low-scoring game in favor of AEK Athens is reinforced by the model’s top scoreline predictions: 0-2 and 0-1.

    The over 2.5 goals market leans towards going over at 59%, but with both teams employing possession control, the match might not turn into a high-scoring affair. The 50% chance of both teams scoring further suggests uncertainty in Volos' ability to break through Athens' backline.

    Given the match dynamics, there's potential value in backing AEK Athens, reflecting their dominant form and statistical edge across all fronts, making it a more stable option for those preferring to anchor their bets in solid analysis rather than speculative high odds.

    VolosVolos
    Form LLDDL
    League ranking xG #11xGA #8xT #4xP/match #13Points #11
    Key players
    • Jorge Samuel Figueiredo FernandesFxG 0.14 · xT 0.10
    • Maximiliano CombaFxG 0.09 · xT 0.03
    • Lazaros LamprouLWxG 0.03 · xT 0.20
    AEK AthensAEK Athens
    Form DWDWD
    League ranking xG #2xGA #3xT #2xP/match #3Points #5
    Key players
    • Luka JovićFxG 0.58 · xT 0.03
    • Barnabás VargaFxG 0.48 · xT -0.03
    • Ambrósini António Cabaça SalvadorRWxG 0.96 · xT -0.07

    Match prediction: VolosAEK Athens

    Predicted score matrix

    AEK Athens
    Volos
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–110.3%
    0–211.7%
    0–38.7%
    0–4+8.0%
    1
    1–03.7%
    1–19.0%
    1–29.7%
    1–37.1%
    1–4+6.6%
    2
    2–01.6%
    2–13.6%
    2–24.0%
    2–32.9%
    2–4+2.7%
    3
    3–00.4%
    3–11.0%
    3–21.1%
    3–30.8%
    3–4+0.8%
    4+
    4+–00.1%
    4+–10.2%
    4+–20.3%
    4+–30.2%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-212%
    2. 2.0-110%
    3. 3.1-210%
    4. 4.1-19%
    5. 5.0-39%
    Expected goals
    0,822,21
    Both teams to score
    50%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.12
    Over 2,559%
    @1.74EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • AEK Athens to win68%
    • Over 1.5 goals81%

    Combined probability

    58%

    Fair odds

    1.71

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

    02 · 3 legs

    Balanced

    • AEK Athens to win68%
    • Over 2.5 goals59%
    • Luka Jović to score38%

    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 score50%
    • Over 2.5 goals59%
    • Luka Jović to score38%
    • Ioannis Bouzoukis to be booked25%

    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+).

    • 1 · Volos12% probability@9.50Bet365EV+14%reference odds
    • 1 · Volos12% probability@8.96PinnacleEV+7%reference odds
    • Both teams to score: Yes50% probability@2.10Bet365EV+6%reference odds
    Bookmaker1 · VolosX2 · AEK Athens
    Bet365
    EV+ 14%
    9.50
    4.751.33
    Pinnacle
    EV+ 7%
    8.96
    EV+ 3%
    5.15
    1.33

    Odds updated 20 Sept, 00:20

    Odds movement

    1+10 %
    14 %9 %

    8.118.96

    X+5 %
    21 %16 %

    4.905.15

    2-1 %
    73 %68 %

    1.351.33

    Over 2,50 %
    57 %52 %

    1.741.74

    Pinnacle · 7 recorded price levels · 14/09/2026 → 20/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Volos 0Draw 1AEK Athens 3
    Goals: 49 (⌀ 3,2)

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

    Key facts

    • AEK Athens are unbeaten in their last 28 league matches.
    xG & xGA per match — 3-game rolling average

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

    Volos
    AEK Athens
    When goals are scored and conceded 2026
    Volos (37)
    AEK Athens (112)
    Pass networks

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

    Volos
    Giannis Kargas: 155 passningar, xT 0.48KargasHatim Essaoubi: 110 passningar, xT 0.16EssaoubiHamza Mendyl: 93 passningar, xT 0.25MendylKeidi Bare: 80 passningar, xT 0.07BareJorge Samuel Figueiredo Fernandes: 74 passningar, xT 0.23FernandesMaximiliano Comba: 74 passningar, xT 0.1CombaGeorgios Mygas: 73 passningar, xT 0.34MygasVasileios Grosdis: 72 passningar, xT 0.04GrosdisLazaros Lamprou: 72 passningar, xT 0.48LamprouMarios Siampanis: 72 passningar, xT 0.06SiampanisMatías Nahuel González: 69 passningar, xT 0.32González
    AEK Athens
    Filipe do Bem Relvas Vitó Oliveira: 283 passningar, xT 0.41OliveiraHarold Moukoudi: 238 passningar, xT 0.62MoukoudiRăzvan Gabriel Marin: 227 passningar, xT 0.49MarinLazaros Rota: 182 passningar, xT 0.17RotaStavros Pilios: 178 passningar, xT 0.38PiliosMilán Vitális: 164 passningar, xT 0.22VitálisLovro Majer: 152 passningar, xT 1.11MajerThomas Strakosha: 72 passningar, xT 0.08StrakoshaMijat Gacinovic: 56 passningar, xT 0.67GacinovicLuka Jović: 50 passningar, xT 0.05JovićKervin Fabián Arriaga Villanueva: 45 passningar, xT 0.02Villanueva
    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.

    Volos
    Giannis Kargas: 155 passningar, xT 0.48KargasHatim Essaoubi: 110 passningar, xT 0.16EssaoubiHamza Mendyl: 93 passningar, xT 0.25MendylKeidi Bare: 80 passningar, xT 0.07BareJorge Samuel Figueiredo Fernandes: 74 passningar, xT 0.23FernandesMaximiliano Comba: 74 passningar, xT 0.1CombaGeorgios Mygas: 73 passningar, xT 0.34MygasVasileios Grosdis: 72 passningar, xT 0.04GrosdisLazaros Lamprou: 72 passningar, xT 0.48LamprouMarios Siampanis: 72 passningar, xT 0.06SiampanisMatías Nahuel González: 69 passningar, xT 0.32González
    AEK Athens
    Filipe do Bem Relvas Vitó Oliveira: 283 passningar, xT 0.41OliveiraHarold Moukoudi: 238 passningar, xT 0.62MoukoudiRăzvan Gabriel Marin: 227 passningar, xT 0.49MarinLazaros Rota: 182 passningar, xT 0.17RotaStavros Pilios: 178 passningar, xT 0.38PiliosMilán Vitális: 164 passningar, xT 0.22VitálisLovro Majer: 152 passningar, xT 1.11MajerThomas Strakosha: 72 passningar, xT 0.08StrakoshaMijat Gacinovic: 56 passningar, xT 0.67GacinovicLuka Jović: 50 passningar, xT 0.05JovićKervin Fabián Arriaga Villanueva: 45 passningar, xT 0.02Villanueva

    The teams in numbers

    PerformanceVolosAEK Athens
    Points28
    xPoints3.76.9
    xG per match0.932.4
    xGA per match1.40.87
    xG within 8s of winning the ball0.260.67
    xGA within 8s of losing the ball0.280.15
    Playing styleVolosAEK Athens
    Build-up efficiency0.290.34
    Field tilt0.570.6
    xT per match1.11.5
    xTA per match0.640.71
    Won balls, offensive half2232
    Pressing intensity0.220.24
    Pressing efficiency0.330.28
    Pressing efficiency, offensive half0.260.27
    Entries into the box per match917
    Entries into the box against99
    Pass completion %0.740.83
    Pass completion % under pressure0.660.78
    Passes per match283468
    Passes against per match307265
    Switches of play per match23.234
    Long balls per match2838
    Set piecesVolosAEK Athens
    xG from free kicks0.130.17
    Corners per match1.73.5
    Corners against per match5.43
    xG per corner0.010.06
    xGA per corner against0.040.02
    First touch, offensive corners %0.570.64
    First touch, defensive corners %0.590.83
    OtherVolosAEK Athens
    Throw-in control0.680.71
    The goalkeepersMarios Siampanis (Volos)Thomas Strakosha (AEK Athens)
    Saves35
    Save %50%83%
    xG prevented11%81%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Volos vs AEK Athens according to our model?

    The model gives AEK Athens a 68% win probability. Full 1X2 picture: Volos 12%, draw 20%, AEK Athens 68%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.