Primeira LigaEstádio Cidade de Barcelos, Barcelos18°21 km/h

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    Gil VicenteGil VicentePossession control
    vs
    Casa PiaCasa PiaPossession control
    The model's lean: 1 · Gil Vicente (53%)Best value by the model: Over 3,5 @ 4.45 (+5 %)

    Gil VicenteCasa Pia · Primeira Liga

    1 · Gil Vicente 53%X 30%18% Casa Pia · 2

    Analysis: Gil VicenteCasa Pia

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

    53% — that's the probability of Gil Vicente securing a victory over Casa Pia, according to the model. A significant indicator that suggests a home win is on the cards. While both sides lean towards a possession-based style, it's Gil Vicente's execution that has been more effective, translating into tangible results on the pitch. With a slender 1-0 scoreline emerging as the most likely outcome at 13%, this isn't expected to be a goal-fest, but rather a strategic battle where the home side edges proceedings.

    Gil Vicente steps onto the pitch with a slight psychological advantage, holding a 1W 2D 1L record in their recent head-to-head clashes with Casa Pia. However, with only four matches in the bag, this sample size is too small to overshadow the more telling season form and expected goals data. The home side's expected goals of 1.62 tower over Casa Pia's meager 0.85, further reinforcing the odds and model favoring Gil Vicente.

    Casa Pia, burdened by an alarming expected goals against of 2.1 per match, has their defensive frailties laid bare. Their xG per match sits at a paltry 0.29, highlighting their struggles to create high-quality chances. Contrast this with Gil Vicente's more robust 1.5 xG per match, and it's clear who has the attacking edge. The model's 45% probability for over 2.5 goals suggests a tight contest, leaning towards an under.

    But wait — there's a sharper betting angle in the mix. Value hunters will note the 5% edge on over 3.5 goals at odds of 4.45 with Betsafe, Betsson, and Nordicbet. While the probability sits at 24%, these odds present a tantalizing EV+ opportunity. While a low-scoring game seems most likely, the betting value is tucked away in the likelihood of an unexpected goal spree, which might just catch the bookmakers off guard.

    Gil VicenteGil Vicente
    Form WDLLW
    League ranking xG #8xGA #2xT #11xP/match #2Points #8
    Key players
    • Jonathan BuatuCBxG 0.00 · xT 0.15
    • Ricardo de Sousa EsgaioCMxG 0.00 · xT 0.19
    • Marvin ElimbiCBxG 0.00 · xT 0.11
    Casa PiaCasa Pia
    Form LWDLL
    League ranking xG #18xGA #17xT #10xP/match #18Points #18
    Key players
    • David SousaCMxG 0.05 · xT 0.09
    • Abdu ConteLBxG 0.00 · xT 0.17
    • Diogo Filipe Costa RochaLWxG 0.08 · xT 0.14

    Match prediction: Gil VicenteCasa Pia

    Predicted score matrix

    Casa Pia
    Gil Vicente
    0
    1
    2
    3
    4+
    0
    0–08.8%
    0–16.8%
    0–23.0%
    0–30.9%
    0–4+0.2%
    1
    1–013.4%
    1–112.0%
    1–24.9%
    1–31.4%
    1–4+0.4%
    2
    2–011.2%
    2–19.4%
    2–24.0%
    2–31.1%
    2–4+0.3%
    3
    3–06.0%
    3–15.1%
    3–22.2%
    3–30.6%
    3–4+0.2%
    4+
    4+–03.5%
    4+–13.0%
    4+–21.3%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-112%
    3. 3.2-011%
    4. 4.2-19%
    5. 5.0-09%
    Expected goals
    1,620,85
    Both teams to score
    46%

    Over/under goals

    Expected goals: 2,5
    Under 2,555%
    @1.58
    Over 2,545%
    @2.28EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Gil Vicente to win53%
    • Under 3.5 goals76%

    Combined probability

    40%

    Fair odds

    2.50

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

    02 · 3 legs

    Balanced

    • Gil Vicente to win53%
    • Under 2.5 goals55%
    • Santiago García González to score23%

    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 score46%
    • Over 2.5 goals45%
    • Santiago García González to score23%
    • Facundo Agustín Cáseres 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+).

    • Over 3.524% probability@4.45BetsafeEV+5%reference odds
    • Over 3.524% probability@4.45BetssonEV+5%reference odds
    • Over 3.524% probability@4.45NordicbetEV+5%reference odds
    Bookmaker1 · Gil VicenteX2 · Casa Pia
    Betsafe1.68
    EV+ 0%
    3.40
    5.40
    Betsson1.68
    EV+ 0%
    3.40
    5.40
    Nordicbet1.68
    EV+ 0%
    3.40
    5.40

    Odds updated 18 Aug, 14:36

    Odds movement

    1-2 %
    56 %51 %

    1.721.68

    X-1 %
    30 %25 %

    3.453.40

    2+16 %
    22 %17 %

    4.655.40

    Over 2,5+8 %
    45 %40 %

    2.122.28

    Betsson · 13 recorded price levels · 17/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Gil Vicente 1Draw 2Casa Pia 1
    Goals: 44 (⌀ 2)

    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).

    Gil Vicente
    Casa Pia
    When goals are scored and conceded 2026
    Gil Vicente (10)
    Casa Pia (08)
    Pass networks

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

    Gil Vicente
    Jonathan Buatu: 71 passningar, xT 0.15BuatuMarvin Elimbi: 59 passningar, xT 0.12ElimbiRicardo de Sousa Esgaio: 58 passningar, xT 0.21EsgaioFacundo Caseres: 38 passningar, xT 0.24CaseresAndreas Sejr Lausen: 33 passningar, xT -0.01LausenLucas Alexandre Galdino de Azevedo: 32 passningar, xT 0.03AzevedoSanti Garcia: 32 passningar, xT -0.07GarciaDavid Miguel Madeira Moreira: 27 passningar, xT 0.04MoreiraJosé Carlos Natário Ferreira: 27 passningar, xT 0.1FerreiraGil Pinto Martins: 21 passningar, xT -0.03MartinsJoelson Fernandes: 19 passningar, xT -0.05Fernandes
    Casa Pia
    David Sousa: 106 passningar, xT 0.17SousaJoão Pedro Goulart Silva: 97 passningar, xT 0.1SilvaAndre Geraldes: 75 passningar, xT 0.05GeraldesLawrence Ofori: 74 passningar, xT 0.13OforiAbdu Conte: 67 passningar, xT 0.27ConteAndre Gomes: 59 passningar, xT 0.06GomesSeba Perez: 59 passningar, xT 0.31PerezHenrique Araujo: 29 passningar, xT -0.08AraujoDiogo Filipe Costa Rocha: 27 passningar, xT 0.18RochaMárcio Gabriel Ferreira Pereira: 27 passningar, xT -0.03PereiraKaly: 21 passningar, xT 0.01Kaly
    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.

    Gil Vicente
    Jonathan Buatu: 71 passningar, xT 0.15BuatuMarvin Elimbi: 59 passningar, xT 0.12ElimbiRicardo de Sousa Esgaio: 58 passningar, xT 0.21EsgaioFacundo Caseres: 38 passningar, xT 0.24CaseresAndreas Sejr Lausen: 33 passningar, xT -0.01LausenLucas Alexandre Galdino de Azevedo: 32 passningar, xT 0.03AzevedoSanti Garcia: 32 passningar, xT -0.07GarciaDavid Miguel Madeira Moreira: 27 passningar, xT 0.04MoreiraJosé Carlos Natário Ferreira: 27 passningar, xT 0.1FerreiraGil Pinto Martins: 21 passningar, xT -0.03MartinsJoelson Fernandes: 19 passningar, xT -0.05Fernandes
    Casa Pia
    David Sousa: 106 passningar, xT 0.17SousaJoão Pedro Goulart Silva: 97 passningar, xT 0.1SilvaAndre Geraldes: 75 passningar, xT 0.05GeraldesLawrence Ofori: 74 passningar, xT 0.13OforiAbdu Conte: 67 passningar, xT 0.27ConteAndre Gomes: 59 passningar, xT 0.06GomesSeba Perez: 59 passningar, xT 0.31PerezHenrique Araujo: 29 passningar, xT -0.08AraujoDiogo Filipe Costa Rocha: 27 passningar, xT 0.18RochaMárcio Gabriel Ferreira Pereira: 27 passningar, xT -0.03PereiraKaly: 21 passningar, xT 0.01Kaly

    The teams in numbers

    PerformanceGil VicenteCasa Pia
    Points30
    xPoints2.30.7
    xG per match1.50.29
    xGA per match0.272.1
    xG within 8s of winning the ball0.180.09
    xGA within 8s of losing the ball0.080.66
    Playing styleGil VicenteCasa Pia
    Build-up efficiency0.270.28
    Field tilt0.680.21
    xT per match0.780.83
    xTA per match0.51.4
    Won balls, offensive half1218
    Pressing intensity0.220.26
    Pressing efficiency0.360.23
    Pressing efficiency, offensive half0.320.16
    Entries into the box per match118
    Entries into the box against722
    Pass completion %0.810.78
    Pass completion % under pressure0.830.7
    Passes per match434349
    Passes against per match220407
    Switches of play per match21.131.6
    Long balls per match2330
    Set piecesGil VicenteCasa Pia
    xG from free kicks00.01
    Corners per match4.83.5
    Corners against per match1.92.5
    xG per corner00.01
    xGA per corner against00.01
    First touch, offensive corners %0.40.14
    First touch, defensive corners %0.50.8
    OtherGil VicenteCasa Pia
    Throw-in control0.810.76
    The goalkeepersLucas Alexandre Galdino de Azevedo (Gil Vicente)Andre Gomes (Casa Pia)
    Saves25
    Save %100%42%
    xG prevented100%31%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Gil Vicente vs Casa Pia according to our model?

    The model gives Gil Vicente a 53% win probability. Full 1X2 picture: Gil Vicente 53%, draw 30%, Casa Pia 18%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 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 46% 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.