Primeira LigaEstádio de São Miguel, Ponta Delgada23°5,8 mm19 km/h

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    Santa ClaraSanta ClaraPossession control
    22
    NacionalNacionalPossession control
    The model's lean: 1 · Santa Clara (45%)Best value by the model: 2 · Nacional @ 4.97 (+15 %)

    Santa Clara vs Nacional · Primeira Liga

    1 · Santa Clara 45%X 32%23% Nacional · 2

    Analysis: Santa ClaraNacional

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

    The numbers speak volumes as Santa Clara prepares to host Nacional in the Primeira Liga. With model probabilities giving Santa Clara a 45% chance to clinch victory, compared to Nacional’s 23%, the home side seems to have a slight upper hand. Most intriguingly, the match is likely to be a low-scoring affair, with the model favoring a 1-0 outcome at 14%, and the expected goals sitting at Santa Clara 1.34 to Nacional’s 0.90.

    Santa Clara, with 36 points, edges Nacional slightly in the standings, but it’s the underlying numbers that tell the real story. They boast a stronger defensive record with an xGA of 1.1 per match compared to Nacional’s leaky 1.6. However, Nacional's attacking prowess is not to be underestimated, with a higher xG per match of 1.4 against Santa Clara's 1.2. This puts Santa Clara in a position where they need to be clinical to maximize their chances.

    In head-to-head matches since 2023, Santa Clara holds a marginal advantage with 2 wins, 1 draw, and 1 loss. But it’s crucial to remember that this is a small sample size, which doesn't weigh as heavily as the current form and expected goals. The weather, predicted to be rainy with 18.6 mm of rain, could play its part, likely dampening goal-scoring opportunities in this possession-heavy clash.

    The shrewd punter might find value in the draw at odds of 3.45 with Pinnacle — the model sees a 9% edge here. Additionally, given the low expected goal tally, backing under 2.5 goals at odds of 1.689 with Pinnacle offers a 4% edge according to the model. For the adventurous, Nacional’s win at odds of 4.46 also presents a slight value of 3%. Nevertheless, the under 2.5 goals bet seems the sharpest angle, especially under the expected conditions.

    Santa ClaraSanta Clara
    Form DWDWL
    League ranking xG #11xGA #7xT #9xP/match #7Points #12
    Key players
    • Vinícius Lopes da SilvaFxG 0.22 · xT 0.05
    • Brenner Lucas Gonçalves SantosRWxG 0.15 · xT 0.18
    • Frederico VenancioCBxG 0.04 · xT 0.06
    NacionalNacional
    Form WWLLW
    League ranking xG #7xGA #12xT #16xP/match #9Points #14
    Key players
    • Jesus RamirezFxG 0.57 · xT 0.00
    • Paulo Henrique Pereira da SilvaLWxG 0.09 · xT 0.08
    • Miguel BaezaFxG 0.13 · xT 0.06
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Santa Clara 45% · Draw 32% · Nacional 23%

    Match prediction: Santa ClaraNacional

    Predicted score matrix

    Nacional
    Santa Clara
    0
    1
    2
    3
    4+
    0
    0–011.0%
    0–19.3%
    0–24.3%
    0–31.3%
    0–4+0.4%
    1
    1–013.9%
    1–113.2%
    1–25.8%
    1–31.7%
    1–4+0.5%
    2
    2–09.5%
    2–18.6%
    2–23.9%
    2–31.2%
    2–4+0.3%
    3
    3–04.2%
    3–13.8%
    3–21.7%
    3–30.5%
    3–4+0.1%
    4+
    4+–01.9%
    4+–11.7%
    4+–20.8%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-014%
    2. 2.1-113%
    3. 3.0-011%
    4. 4.2-010%
    5. 5.0-19%
    Expected goals
    1,340,90
    Both teams to score
    44%

    Over/under goals

    Expected goals: 2,2
    Under 2,561%
    @1.63EV+0%
    Over 2,539%
    @2.32

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Santa Clara to win45%
    • Under 3.5 goals81%

    Combined probability

    36%

    Fair odds

    2.76

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

    02 · 3 legs

    Balanced

    • Santa Clara to win45%
    • Under 2.5 goals61%
    • Welinton Macedo dos Santos to score19%

    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 score44%
    • Over 2.5 goals39%
    • Jesús Andrés Ramírez Díaz to score20%
    • Matheus dos Santos Dias to be booked24%

    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+).

    • 2 · Nacional23% probability@4.97PinnacleEV+15%reference odds
    • X · Draw32% probability@3.35PinnacleEV+6%reference odds
    • Under 2.561% probability@1.63PinnacleEV+0%reference odds
    Bookmaker1 · Santa ClaraX2 · Nacional
    Pinnacle1.83
    EV+ 6%
    3.35
    EV+ 15%
    4.97

    Odds updated 10 Aug, 10:08

    Odds movement

    Market signal

    The market has moved clearly towards a Santa Clara win since 4 August — the odds have shortened from 1.92 to 1.83 (−4%).

    1-4 %
    53 %48 %

    1.921.83

    X-1 %
    30 %25 %

    3.403.35

    2+22 %
    24 %19 %

    4.064.97

    Over 2,5+6 %
    45 %40 %

    2.182.32

    Pinnacle · 13 recorded price levels · 04/08/2026 → 10/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Santa Clara 2Draw 1Nacional 1
    Goals: 65 (⌀ 2,8)

    Head-to-head based on Primeira Liga data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Santa Clara
    Nacional
    When goals are scored and conceded 2025
    Santa Clara (3241)
    Nacional (3745)
    Pass networks

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

    Santa Clara
    Sidney Alexssander Pena De Lima: 198 passningar, xT 0.19LimaSérgio Miguel Lobo Araújo: 150 passningar, xT 0.19AraújoJosé Luís Rocha Tavares: 105 passningar, xT 0.23TavaresDiogo dos Santos Cabral: 95 passningar, xT 0.59CabralFrederico Venancio: 94 passningar, xT 0.26VenancioGabriel Silva: 88 passningar, xT 0.6SilvaPaulo Victor de Almeida Barbosa: 87 passningar, xT 0.22BarbosaGuilherme Kennedy Romão: 86 passningar, xT 0.24RomãoLucas Soares: 72 passningar, xT 0.2SoaresPedro Pacheco: 68 passningar, xT 0.05PachecoGabriel Batista: 64 passningar, xT 0.06Batista
    Nacional
    Filipe Soares: 154 passningar, xT 0.22SoaresLeonardo Rodrigues dos Santos: 150 passningar, xT 0.13SantosJosé Vitor Lima Cardoso: 128 passningar, xT 0.44CardosoAlan Nunez: 119 passningar, xT 0.61NunezJosé Manuel Mendes Gomes: 112 passningar, xT 0.3GomesChiheb Labidi: 106 passningar, xT -0.05LabidiFrancisco Adriano Baptista Goncalves: 100 passningar, xT 0.29GoncalvesDaniel de Melo Araújo Júnior: 98 passningar, xT -0.04JúniorPaulo Henrique Pereira da Silva: 85 passningar, xT 0.4SilvaKaique Pereira Azarias: 85 passningar, xT 0.13AzariasMatheus Dias: 67 passningar, xT 0.03Dias
    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.

    Santa Clara
    Sidney Alexssander Pena De Lima: 198 passningar, xT 0.19LimaSérgio Miguel Lobo Araújo: 150 passningar, xT 0.19AraújoJosé Luís Rocha Tavares: 105 passningar, xT 0.23TavaresDiogo dos Santos Cabral: 95 passningar, xT 0.59CabralFrederico Venancio: 94 passningar, xT 0.26VenancioGabriel Silva: 88 passningar, xT 0.6SilvaPaulo Victor de Almeida Barbosa: 87 passningar, xT 0.22BarbosaGuilherme Kennedy Romão: 86 passningar, xT 0.24RomãoLucas Soares: 72 passningar, xT 0.2SoaresPedro Pacheco: 68 passningar, xT 0.05PachecoGabriel Batista: 64 passningar, xT 0.06Batista
    Nacional
    Filipe Soares: 154 passningar, xT 0.22SoaresLeonardo Rodrigues dos Santos: 150 passningar, xT 0.13SantosJosé Vitor Lima Cardoso: 128 passningar, xT 0.44CardosoAlan Nunez: 119 passningar, xT 0.61NunezJosé Manuel Mendes Gomes: 112 passningar, xT 0.3GomesChiheb Labidi: 106 passningar, xT -0.05LabidiFrancisco Adriano Baptista Goncalves: 100 passningar, xT 0.29GoncalvesDaniel de Melo Araújo Júnior: 98 passningar, xT -0.04JúniorPaulo Henrique Pereira da Silva: 85 passningar, xT 0.4SilvaKaique Pereira Azarias: 85 passningar, xT 0.13AzariasMatheus Dias: 67 passningar, xT 0.03Dias

    The teams in numbers

    PerformanceSanta ClaraNacional
    Points3634
    xPoints48.547.1
    xG per match1.21.4
    xGA per match1.11.6
    xG within 8s of winning the ball0.170.13
    xGA within 8s of losing the ball0.20.2
    Playing styleSanta ClaraNacional
    Build-up efficiency0.30.31
    Field tilt0.440.41
    xT per match0.750.68
    xTA per match0.851
    Won balls, offensive half2428
    Pressing intensity0.220.23
    Pressing efficiency0.280.3
    Pressing efficiency, offensive half0.320.34
    Entries into the box per match910
    Entries into the box against1013
    Pass completion %0.750.72
    Pass completion % under pressure0.70.69
    Passes per match311265
    Passes against per match343330
    Switches of play per match24.623.1
    Long balls per match2930
    Set piecesSanta ClaraNacional
    xG from free kicks0.080.13
    Corners per match4.64.3
    Corners against per match4.46.3
    xG per corner0.050.08
    xGA per corner against0.040.05
    First touch, offensive corners %0.320.5
    First touch, defensive corners %0.660.63
    OtherSanta ClaraNacional
    Throw-in control0.710.7
    The goalkeepersGabriel Batista (Santa Clara)Kaique Pereira Azarias (Nacional)
    Saves7690
    Save %67%72%
    xG prevented33%53%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Santa Clara vs Nacional according to our model?

    The model gives Santa Clara a 45% win probability. Full 1X2 picture: Santa Clara 45%, draw 32%, Nacional 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 39% and under at 61%.

    Will both teams score?

    The probability of both teams scoring is 44% 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.