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    PanetolikosPanetolikosLow block & direct
    vs
    PAOKPAOKBalanced & physical
    The model's lean: 2 · PAOK (55%)

    PanetolikosPAOK · Greek Super League

    1 · Panetolikos 22%X 23%55% PAOK · 2

    Analysis: PanetolikosPAOK

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    The clash between Panetolikos and PAOK presents a curious puzzle for bettors. Despite the model favoring PAOK with a 55% win probability, the underlying metrics paint a different picture. Panetolikos, riding a wave of three consecutive victories, edge their visitors in several statistical areas like xPoints and xGA per match. This is a classic case of form contradicting head-to-head precedence, where the hosts have yet to claim a win in their last four meetings against PAOK—a sample size too small to weigh heavily against current form.

    Digging deeper, the season-long numbers show Panetolikos with an xG of 1.4 per match, matching their rivals, but with significantly better defensive numbers, conceding just 0.84 xGA compared to PAOK's leaky 1.8. That said, the model's expected goals for this specific match tell a different story, projecting 0.98 for Panetolikos against 1.49 for PAOK, suggesting the visitors carry the sharper attacking edge on the day. Such stats suggest the picture is more balanced than the raw home-form numbers imply, particularly in a game that might not see many goals given the 45% chance of hitting over 2.5 goals.

    Favoring PAOK at 55% is not unreasonable given this match-specific expected-goals gap, even if the natural style contrast—Panetolikos’ low defense and direct play against PAOK’s balanced, physical approach—and the hosts' strong recent form and season-long defensive solidity offer some counterweight. A narrow 1-1 draw seems the most anticipated result, closely followed by a 0-1 to the visitors.

    From a betting perspective, value may lie in backing Panetolikos on the double chance market. This bet captures both a home win and draw, aligning well with their strong form and defensive solidity, making it a proposition worth considering for those weighing the model's lean toward PAOK against the hosts' recent momentum.

    PanetolikosPanetolikos
    Form DLWWW
    League ranking xG #5xGA #5xT #9xP/match #4Points #1
    Key players
    • Youssouph Mamadou BadjiFxG 0.13 · xT 0.27
    • Charalampos MavriasRWBxG 0.10 · xT 0.11
    • Diego Esteban PerezCMxG 0.13 · xT 0.13
    PAOKPAOK
    Form DDWWL
    League ranking xG #6xGA #13xT #6xP/match #7Points #5
    Key players
    • Dimitris PelkasCAMxG 0.45 · xT 0.20
    • Abdul Rahman BabaLWBxG 0.01 · xT 0.11
    • Andrija ZivkovicRWxG 0.46 · xT 0.32

    Match prediction: PanetolikosPAOK

    Predicted score matrix

    PAOK
    Panetolikos
    0
    1
    2
    3
    4+
    0
    0–08.8%
    0–112.3%
    0–29.4%
    0–34.7%
    0–4+2.4%
    1
    1–07.9%
    1–112.7%
    1–29.2%
    1–34.6%
    1–4+2.4%
    2
    2–04.0%
    2–16.0%
    2–24.5%
    2–32.2%
    2–4+1.2%
    3
    3–01.3%
    3–12.0%
    3–21.5%
    3–30.7%
    3–4+0.4%
    4+
    4+–00.4%
    4+–10.6%
    4+–20.4%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-112%
    3. 3.0-29%
    4. 4.1-29%
    5. 5.0-09%
    Expected goals
    0,981,49
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,5
    Under 2,555%
    Over 2,545%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • PAOK to win55%
    • Under 3.5 goals76%

    Combined probability

    36%

    Fair odds

    2.81

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

    02 · 3 legs

    Balanced

    • PAOK to win55%
    • Under 2.5 goals55%
    • Magomed Ozdoev to score28%

    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 score49%
    • Over 2.5 goals45%
    • Magomed Ozdoev to score28%
    • Andreas Bouchalakis to be booked21%

    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

    Head-to-head

    4 matches
    Panetolikos 0Draw 1PAOK 3
    Goals: 06 (⌀ 1,5)

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

    Key facts

    • Panetolikos GFS come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Panetolikos
    PAOK
    When goals are scored and conceded 2026
    Panetolikos (71)
    PAOK (74)
    Pass networks

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

    Panetolikos
    Charalampos Mavrias: 85 passningar, xT 0.22MavriasAmine Bassi: 62 passningar, xT 0.07BassiGiannis Satsias: 61 passningar, xT -0.04SatsiasGustav Frans Vallentin Granath: 59 passningar, xT 0.37GranathDiego Esteban Perez: 58 passningar, xT 0.29PerezYevhen Kucherenko: 54 passningar, xT 0.14KucherenkoLazar Kojić: 53 passningar, xT 0.21KojićNikola Stajic: 52 passningar, xT 0.1StajicChristian Manrique Díaz: 41 passningar, xT 0.11DíazMoussa Djenepo: 25 passningar, xT 0DjenepoNovica Eraković: 23 passningar, xT 0Eraković
    PAOK
    Jonjoe Kenny: 112 passningar, xT 0.37KennyAritz Elustondo: 104 passningar, xT 0.16ElustondoGiannis Michailidis: 79 passningar, xT 0.15MichailidisAbdul Rahman Baba: 79 passningar, xT 0.14BabaAndrija Zivkovic: 62 passningar, xT 0.68ZivkovicGreg John Taylor: 58 passningar, xT 0.13TaylorJiri Pavlenka: 50 passningar, xT 0PavlenkaDimitris Pelkas: 50 passningar, xT 0.16PelkasBaptiste Santamaría: 36 passningar, xT 0.03SantamaríaChristos Zafeiris: 36 passningar, xT -0.03ZafeirisTom Louchet: 36 passningar, xT 0.02Louchet
    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.

    Panetolikos
    Charalampos Mavrias: 85 passningar, xT 0.22MavriasAmine Bassi: 62 passningar, xT 0.07BassiGiannis Satsias: 61 passningar, xT -0.04SatsiasGustav Frans Vallentin Granath: 59 passningar, xT 0.37GranathDiego Esteban Perez: 58 passningar, xT 0.29PerezYevhen Kucherenko: 54 passningar, xT 0.14KucherenkoLazar Kojić: 53 passningar, xT 0.21KojićNikola Stajic: 52 passningar, xT 0.1StajicChristian Manrique Díaz: 41 passningar, xT 0.11DíazMoussa Djenepo: 25 passningar, xT 0DjenepoNovica Eraković: 23 passningar, xT 0Eraković
    PAOK
    Jonjoe Kenny: 112 passningar, xT 0.37KennyAritz Elustondo: 104 passningar, xT 0.16ElustondoGiannis Michailidis: 79 passningar, xT 0.15MichailidisAbdul Rahman Baba: 79 passningar, xT 0.14BabaAndrija Zivkovic: 62 passningar, xT 0.68ZivkovicGreg John Taylor: 58 passningar, xT 0.13TaylorJiri Pavlenka: 50 passningar, xT 0PavlenkaDimitris Pelkas: 50 passningar, xT 0.16PelkasBaptiste Santamaría: 36 passningar, xT 0.03SantamaríaChristos Zafeiris: 36 passningar, xT -0.03ZafeirisTom Louchet: 36 passningar, xT 0.02Louchet

    The teams in numbers

    PerformancePanetolikosPAOK
    Points96
    xPoints5.53.9
    xG per match1.41.4
    xGA per match0.841.8
    xG within 8s of winning the ball0.30.15
    xGA within 8s of losing the ball0.110.19
    Playing stylePanetolikosPAOK
    Build-up efficiency0.330.32
    Field tilt0.450.4
    xT per match0.851
    xTA per match1.11.4
    Won balls, offensive half3022
    Pressing intensity0.230.23
    Pressing efficiency0.330.21
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1013
    Entries into the box against1313
    Pass completion %0.660.74
    Pass completion % under pressure0.650.7
    Passes per match215310
    Passes against per match375396
    Switches of play per match22.219.2
    Long balls per match3627
    Set piecesPanetolikosPAOK
    xG from free kicks0.060.04
    Corners per match2.43.7
    Corners against per match4.72.7
    xG per corner0.080.01
    xGA per corner against0.010.01
    First touch, offensive corners %0.710.36
    First touch, defensive corners %0.790.62
    OtherPanetolikosPAOK
    Throw-in control0.550.67
    The goalkeepersYevhen Kucherenko (Panetolikos)Jiri Pavlenka (PAOK)
    Saves1111
    Save %92%73%
    xG prevented77%68%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Panetolikos vs PAOK according to our model?

    The model gives PAOK a 55% win probability. Full 1X2 picture: Panetolikos 22%, draw 23%, PAOK 55%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 45% and under at 55%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.