Primeira LigaEstádio Pina Manique, Lissabon20°16 km/h

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    Casa PiaCasa PiaLow block & direct
    vs
    Santa ClaraSanta ClaraPossession control
    The model's lean: 2 · Santa Clara (49%)

    Casa Pia vs Santa Clara · Primeira Liga

    1 · Casa Pia 22%X 30%49% Santa Clara · 2

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    Analysis: Casa Pia – Santa Clara

    Sofia Andersson · · The model's read on the match · How the predictions work

    Casa Pia's defensive frailties might be the decisive factor when they host Santa Clara in the Primeira Liga. The model paints a clear picture: Santa Clara are the favorites with a 49% likelihood of taking all three points, with a 0-1 away victory pegged at 14%. The numbers suggest a game shaped by Santa Clara's possession-based approach overpowering the hosts' direct style, yet with limited goalscoring opportunities.

    Santa Clara's seven-match unbeaten streak in the league underscores their current form advantage. The head-to-head record, though based on a small sample size of four matches, further leans towards the visitors with three wins and a draw. Casa Pia, on the other hand, have struggled, with only 4 points in the same period compared to Santa Clara's 15. The xG and xGA figures reinforce this disparity: Casa Pia’s expected goals per match sit at a modest 0.71, dwarfed by Santa Clara’s 1.5, while Casa Pia’s defense leaks considerably with an xGA of 1.8 against Santa Clara’s solid 0.71.

    A low-scoring affair is likely, as indicated by an over 2.5 goals probability of just 38% and a both teams to score chance of 43%. The expected goals tally of 0.87 for Casa Pia against Santa Clara's 1.34 supports a scenario where defenses, particularly the visitors', hold firm. The model suggests a 0-1 scoreline is the most probable outcome, reflecting both the defensive solidity of Santa Clara and the attacking struggles of Casa Pia.

    The sharpest betting angle emerges from the visitor's odds. Santa Clara’s win probability of 49% contrasts with the market pricing, with value appearing at odds of 2.20 or higher. This disparity presents a worthwhile opportunity to back the visitors in a clash where Casa Pia's vulnerabilities could well be exploited.

    Casa PiaCasa Pia
    Form LLDLW
    League ranking xG #17xGA #16xT #13xP/match #17Points #17
    Key players
    • João Pedro Goulart SilvaCBxG 0.00 · xT 0.09
    • David SousaCBxG 0.06 · xT 0.06
    • Lawrence OforiFxG 0.03 · xT 0.09
    Santa ClaraSanta Clara
    Form WDWWD
    League ranking xG #5xGA #5xT #9xP/match #3Points #4
    Key players
    • Gonçalo Mendes PaciênciaFxG 0.73 · xT 0.08
    • Brenner Lucas Gonçalves SantosLWxG 0.32 · xT 0.04
    • Diogo dos Santos CabralRBxG 0.02 · xT 0.05

    Match prediction: Casa Pia – Santa Clara

    Predicted score matrix

    Santa Clara →
    Casa Pia →
    0
    1
    2
    3
    4+
    0
    0–011.3%
    0–114.3%
    0–29.8%
    0–34.4%
    0–4+2.0%
    1
    1–09.2%
    1–113.2%
    1–28.6%
    1–33.8%
    1–4+1.7%
    2
    2–04.2%
    2–15.6%
    2–23.7%
    2–31.7%
    2–4+0.7%
    3
    3–01.2%
    3–11.6%
    3–21.1%
    3–30.5%
    3–4+0.2%
    4+
    4+–00.3%
    4+–10.4%
    4+–20.3%
    4+–30.1%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-114%
    2. 2.1-113%
    3. 3.0-011%
    4. 4.0-210%
    5. 5.1-09%
    Expected goals
    0,87–1,34
    Both teams to score
    43%

    Over/under goals

    Expected goals: 2,2
    Under 2,562%
    @1.55
    Over 2,538%
    @2.35

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Santa Clara to win49%
    • Under 3.5 goals82%

    Combined probability

    37%

    Fair odds

    2.70

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

    02 · 3 legs

    Balanced

    • Santa Clara to win49%
    • Under 2.5 goals62%
    • Gonçalo Mendes Paciência to score22%

    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 score43%
    • Over 2.5 goals38%
    • Gonçalo Mendes Paciência to score22%
    • Daniel Borges da Silva to be booked22%

    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

    Bookmaker1 · Casa PiaX2 · Santa Clara
    Betsafe4.403.151.88
    LeoVegas4.403.251.90
    Nordicbet4.403.151.88

    Odds updated 4 Oct, 05:36

    Odds movement

    10 %
    24 %19 %

    4.40 → 4.40

    X+2 %
    32 %27 %

    3.10 → 3.15

    20 %
    52 %47 %

    1.88 → 1.88

    Over 2,5-4 %
    42 %37 %

    2.42 → 2.32

    Nordicbet · 4 recorded price levels · 03/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Casa Pia 0Draw 1Santa Clara 3
    Goals: 1–5 (⌀ 1,5)

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

    Key facts

    • Santa Clara are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    Casa Pia
    Santa Clara
    When goals are scored and conceded — 2026
    Casa Pia (3–16)
    Santa Clara (11–4)
    Pass networks

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

    Casa Pia
    David Sousa: 153 passningar, xT 0.21SousaAndre Geraldes: 143 passningar, xT 0.2GeraldesLawrence Ofori: 135 passningar, xT 0.42OforiJoão Pedro Goulart Silva: 111 passningar, xT 0.15SilvaSilvi Clua Oya: 110 passningar, xT 0.31OyaPedro Silva Rosas: 83 passningar, xT 0.66RosasJoão Pedro Seno Luís Rêgo: 76 passningar, xT 0.21RêgoAndre Gomes: 72 passningar, xT 0.06GomesMohamed Salah El Boukammiri: 51 passningar, xT -0.04BoukammiriKaly: 49 passningar, xT 0.04KalyIvan Mandić: 46 passningar, xT 0.16Mandić
    Santa Clara
    Pedro Pacheco: 253 passningar, xT 0.74PachecoEmanuel Moreira Fernandes: 210 passningar, xT 0.16FernandesPedro Ferreira: 147 passningar, xT 0.14FerreiraGuilherme Kennedy Romão: 145 passningar, xT 0.55RomãoLucas Soares: 124 passningar, xT 0.32SoaresLucas Franca: 120 passningar, xT 0.03FrancaJosé Luís Rocha Tavares: 119 passningar, xT 0.32TavaresDiogo dos Santos Cabral: 75 passningar, xT 0.08CabralVinícius Lopes da Silva: 74 passningar, xT 0.62SilvaTiago Miguel Hora Ribeiro: 71 passningar, xT 0.09RibeiroBrenner Lucas Gonçalves Santos: 50 passningar, xT -0.01Santos
    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.

    Casa Pia
    David Sousa: 153 passningar, xT 0.21SousaAndre Geraldes: 143 passningar, xT 0.2GeraldesLawrence Ofori: 135 passningar, xT 0.42OforiJoão Pedro Goulart Silva: 111 passningar, xT 0.15SilvaSilvi Clua Oya: 110 passningar, xT 0.31OyaPedro Silva Rosas: 83 passningar, xT 0.66RosasJoão Pedro Seno Luís Rêgo: 76 passningar, xT 0.21RêgoAndre Gomes: 72 passningar, xT 0.06GomesMohamed Salah El Boukammiri: 51 passningar, xT -0.04BoukammiriKaly: 49 passningar, xT 0.04KalyIvan Mandić: 46 passningar, xT 0.16Mandić
    Santa Clara
    Pedro Pacheco: 253 passningar, xT 0.74PachecoEmanuel Moreira Fernandes: 210 passningar, xT 0.16FernandesPedro Ferreira: 147 passningar, xT 0.14FerreiraGuilherme Kennedy Romão: 145 passningar, xT 0.55RomãoLucas Soares: 124 passningar, xT 0.32SoaresLucas Franca: 120 passningar, xT 0.03FrancaJosé Luís Rocha Tavares: 119 passningar, xT 0.32TavaresDiogo dos Santos Cabral: 75 passningar, xT 0.08CabralVinícius Lopes da Silva: 74 passningar, xT 0.62SilvaTiago Miguel Hora Ribeiro: 71 passningar, xT 0.09RibeiroBrenner Lucas Gonçalves Santos: 50 passningar, xT -0.01Santos

    The teams in numbers

    PerformanceCasa PiaSanta Clara
    Points415
    xPoints5.613.8
    xG per match0.711.5
    xGA per match1.80.71
    xG within 8s of winning the ball0.120.42
    xGA within 8s of losing the ball0.480.1
    Playing styleCasa PiaSanta Clara
    Build-up efficiency0.290.3
    Field tilt0.430.44
    xT per match0.760.82
    xTA per match1.10.75
    Won balls, offensive half2525
    Pressing intensity0.240.22
    Pressing efficiency0.280.26
    Pressing efficiency, offensive half0.230.23
    Entries into the box per match1110
    Entries into the box against1410
    Pass completion %0.720.74
    Pass completion % under pressure0.70.67
    Passes per match276302
    Passes against per match363382
    Switches of play per match2527.9
    Long balls per match2931
    Set piecesCasa PiaSanta Clara
    xG from free kicks0.020.04
    Corners per match4.13.7
    Corners against per match6.15.6
    xG per corner0.020.01
    xGA per corner against0.040.01
    First touch, offensive corners %0.410.54
    First touch, defensive corners %0.490.59
    OtherCasa PiaSanta Clara
    Throw-in control0.720.68
    The goalkeepersIvan Mandić (Casa Pia)Lucas Franca (Santa Clara)
    Saves1213
    Save %71%77%
    xG prevented30%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Casa Pia vs Santa Clara according to our model?

    The model gives Santa Clara a 49% win probability. Full 1X2 picture: Casa Pia 22%, draw 30%, Santa Clara 49%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 38% and under at 62%.

    Will both teams score?

    The probability of both teams scoring is 43% 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.