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    AjaxAjaxPossession & high press
    vs
    The model's lean: 1 · Ajax (70%)
    Best value by the model: 2 · Shelbourne @ 44.22 (+532 %)
    ShelbourneShelbourne

    AjaxShelbourne · Conference League

    1 · Ajax 70%X 16%14% Shelbourne · 2

    Analysis: AjaxShelbourne

    Oscar Nilsson · · How the predictions work

    AFC Ajax's 70% probability of victory against Shelbourne underscores a matchup tilted heavily in the Dutch side's favor. With expected goals of 2.14 for Ajax and a mere 0.78 for Shelbourne, the numbers paint a picture of a dominant home performance. Ajax's attacking prowess and defensive resilience suggest they are likely to control the tempo and dictate play, making the 2-0 and 1-0 scorelines the most probable outcomes.

    Shelbourne face an uphill battle with only a 14% chance of snatching a win, according to the model. While the odds on Shelbourne pulling off a miracle are tantalizingly high at 44.22 with Pinnacle, the realistic likelihood of such an upset is slim. The EV+ indicator highlights this as a long shot with substantial potential payout, but it remains a gamble against the statistical tide.

    Shelbourne's challenge is compounded by their limited offensive firepower, which is evident in the expected goals metric. The probability of both teams scoring is under 50%, suggesting Ajax's defense is likely to stifle any attacking efforts from their opponents. With the over 2.5 goals sitting at 56%, the market anticipates a relatively open game, but the weather might play a role. If conditions were blustery, it would typically suppress goals, yet this appears factored into the model, suggesting a modest impact.

    AFC Ajax are primed for a straightforward win, with the model favoring a 2-0 result. The odds for a draw at 14.83 with Pinnacle present a rare value opportunity, albeit with more risk due to Ajax's dominance. For bettors seeking a high-risk, high-reward scenario, the draw bet offers the most realistic avenue, given the discrepancy between model probability and bookmaker odds. While it's a daring play, it's the sharpest angle for those willing to defy the odds.

    AjaxAjax
    Form DDLWW
    League ranking xG #1xGA #2xT #1xP/match #1Points #2
    Key players
    • Steven BerghuisRWxG 0.13 · xT 0.22
    • Mika GodtsLWxG 0.16 · xT 0.38
    • Oscar GloukhLWxG 0.77 · xT 0.33
    ShelbourneShelbourne
    Form LLLLD
    Key players
    • Harry WoodCMxG 0.04 · xT 0.04
    • Jack Henry-FrancisCMxG 0.00 · xT 0.06
    • Mark CoyleCBxG 0.00 · xT 0.03

    Match prediction: AjaxShelbourne

    Predicted score matrix

    Shelbourne
    Ajax
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–13.9%
    0–21.6%
    0–30.4%
    0–4+0.1%
    1
    1–011.3%
    1–19.2%
    1–23.5%
    1–30.9%
    1–4+0.2%
    2
    2–012.4%
    2–19.6%
    2–23.7%
    2–31.0%
    2–4+0.2%
    3
    3–08.9%
    3–16.9%
    3–22.7%
    3–30.7%
    3–4+0.2%
    4+
    4+–07.8%
    4+–16.1%
    4+–22.4%
    4+–30.6%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-012%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.1-19%
    5. 5.3-09%
    Expected goals
    2,140,78
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.26
    Over 2,556%
    @1.40

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Ajax to win70%
    • Over 1.5 goals79%

    Combined probability

    57%

    Fair odds

    1.75

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

    02 · 3 legs

    Balanced

    • Ajax to win70%
    • Over 2.5 goals56%
    • Kasper Dolberg Rasmussen to score44%

    Combined probability

    20%

    Fair odds

    5.09

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score48%
    • Over 2.5 goals56%
    • Kasper Dolberg Rasmussen to score44%
    • Patrick Barrett to be booked20%

    Combined probability

    3%

    Fair odds

    29.62

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Shelbourne14% probability@44.22PinnacleEV+532%
    • 2 · Shelbourne14% probability@18.50Betfair ExchangeEV+165%
    • X · Draw16% probability@14.83PinnacleEV+135%
    Bookmaker1 · AjaxX2 · Shelbourne
    Betfair Exchange1.14
    EV+ 42%
    9.00
    EV+ 165%
    18.50
    Pinnacle1.02
    EV+ 135%
    14.83
    EV+ 532%
    44.22

    Odds updated 4 Aug, 20:09

    Odds movement

    Market signal

    The market has moved clearly towards a Ajax win since 3 August — the odds have shortened from 1.08 to 1.02 (−5%).

    1-5 %
    94 %84 %

    1.081.02

    X+54 %
    13 %3 %

    9.6214.83

    2+122 %
    8 %-2 %

    19.8844.22

    Pinnacle · 5 recorded price levels · 03/08/2026 → 04/08/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Ajax
    Shelbourne
    When goals are scored and conceded 2026
    Ajax (82)
    Pass networks

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

    Ajax
    Daley Blind: 202 passningar, xT 0.2BlindAaron Bouwman: 186 passningar, xT 0.2BouwmanLucas Rosa: 147 passningar, xT 0.32RosaYouri Regeer: 124 passningar, xT 0.1RegeerSteven Berghuis: 94 passningar, xT 0.33BerghuisOwen Colin Wijndal: 92 passningar, xT 0.65WijndalMika Godts: 90 passningar, xT 0.64GodtsOscar Gloukh: 71 passningar, xT 0.48GloukhDavy Klaassen: 60 passningar, xT -0.05KlaassenMaarten Vincent Paes: 55 passningar, xT 0PaesCaio Henrique Oliveira Silva: 30 passningar, xT 0.03Silva
    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.

    Ajax
    Daley Blind: 202 passningar, xT 0.2BlindAaron Bouwman: 186 passningar, xT 0.2BouwmanLucas Rosa: 147 passningar, xT 0.32RosaYouri Regeer: 124 passningar, xT 0.1RegeerSteven Berghuis: 94 passningar, xT 0.33BerghuisOwen Colin Wijndal: 92 passningar, xT 0.65WijndalMika Godts: 90 passningar, xT 0.64GodtsOscar Gloukh: 71 passningar, xT 0.48GloukhDavy Klaassen: 60 passningar, xT -0.05KlaassenMaarten Vincent Paes: 55 passningar, xT 0PaesCaio Henrique Oliveira Silva: 30 passningar, xT 0.03Silva
    The goalkeepersMaarten Vincent Paes (Ajax)Shelbourne
    Saves4
    Save %67%
    xG prevented54%
    Claims0 (0%)

    Frequently asked questions

    Who wins Ajax vs Shelbourne according to our model?

    The model gives Ajax a 70% win probability. Full 1X2 picture: Ajax 70%, draw 16%, Shelbourne 14%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.