Liga Portugal 225°19 km/hUpdated

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    FarenseFarensePossession control
    vs
    The model's lean: 1 · Farense (36%)
    TorreenseTorreensePossession control

    FarenseTorreense · Liga Portugal 2

    1 · Farense 36%X 31%33% Torreense · 2
    FarenseFarense
    Form WDWDL
    League ranking xG #7xGA #4xT #4xP/match #9Points #14
    Key players
    • Marco André da Silva Lopes MatiasFxG 0.15 · xT 0.07
    • Franco Gastón Romero PonteCBxG 0.05 · xT 0.08
    • Toni Herrero OlivaLWBxG 0.02 · xT 0.16
    TorreenseTorreense
    Form LWDWW
    League ranking xG #6xGA #8xT #6xP/match #5Points #3
    Key players
    • Musa Drammeh JaitehFxG 0.57 · xT 0.06
    • Javi VazquezLWBxG 0.07 · xT 0.2
    • Dany JeanLWxG 0.11 · xT 0.07

    Match prediction: FarenseTorreense

    Predicted score matrix

    Torreense
    Farense
    0
    1
    2
    3
    4+
    0
    0–09.6%
    0–110.7%
    0–26.7%
    0–32.7%
    0–4+1.0%
    1
    1–010.5%
    1–113.5%
    1–27.9%
    1–33.2%
    1–4+1.2%
    2
    2–06.4%
    2–17.7%
    2–24.6%
    2–31.9%
    2–4+0.7%
    3
    3–02.5%
    3–13.0%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–01.0%
    4+–11.2%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-011%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,181,20
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.61
    Over 2,543%
    @2.27

    Odds & value

    The model's value spots

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

    • 1 · Farense36% probability@2.84PinnacleEV+2%
    Bookmaker1 · FarenseX2 · Torreense
    Pinnacle
    EV+ 2%
    2.84
    3.032.62

    Odds updated 4 Aug, 09:03

    Analysis: FarenseTorreense

    Erik Lindberg · · How the predictions work

    Forty points vs. fifty-three. It's a stark contrast on the leaderboard as Farense hosts Sport Clube Uniao Torreense. The numbers hint at an intriguing battle, with Farense playing catch-up despite the model leaning slightly in their favor with a 36% win probability. This tilt, however, doesn’t paint the whole picture; Torreense isn't far behind at 33%, and there's a palpable sense of tension in their shared preference for possession control.

    Farense, reeling from their lone encounter where they fell to Torreense, will seek to even the score. Their expected goals sit at a modest 1.18, narrowly trailing Torreense's 1.20. These figures align with the most likely scorelines of 1-1 and 0-1, each hugging the margins of a low-scoring affair. The over 2.5 goals probability is a mere 43%, suggesting a tight, tactical contest where defenses might just edge out attack.

    Sport Clube Uniao Torreense leads in points and expected points, yet their advantage is subtle, hinting at a vulnerability Farense could exploit. The slight edge in xG per match — 1.4 to Farense's 1.3 — is countered by a higher xGA, 1.2 to Farense's 1.1. Farense can draw confidence from this defensive solidity, aiming to turn Pinnacle's 2.84 odds into a profitable venture for daring bettors. The model implies a 2% edge, tempting for those seeking value in the unpredictable dance of possession football.

    Despite Torreense's edge on paper, the odds hint at a potential upset. Farense might just snatch a 1-0 win, with the cautious punter noting the EV+ value at home. If the model’s lean holds, Farense's odds of 2.84 present a tantalizing opportunity for those willing to back the underdog.

    Statistics

    Head-to-head

    1 matches
    Farense 0Draw 0Torreense 1
    Goals: 03 (⌀ 3)

    Head-to-head based on Liga Portugal 2 data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Farense
    Torreense
    When goals are scored and conceded 2025
    Farense (3035)
    Torreense (4231)
    Pass networks

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

    Farense
    Rúben Miguel Marques dos Santos Fernandes: 127 passningar, xT 0.38FernandesMiguel Pedro Miranda de Oliveira Menino: 115 passningar, xT 0.4MeninoCláudio Falcão Santos: 105 passningar, xT 0.31SantosToni Herrero Oliva: 97 passningar, xT 0.3OlivaYannick Semedo: 94 passningar, xT 0.68SemedoCarlos Alexandre Reis Pinto: 88 passningar, xT 0.64PintoBrian da Rocha Araújo: 85 passningar, xT 0.16AraújoAssane Ndiaye Dione: 57 passningar, xT 0.18DioneAndré Miguel Arsénio Candeias: 47 passningar, xT 0CandeiasDerick Theodoro Santos Poloni: 42 passningar, xT 0.3PoloniLeonardo Daniel de Oliveira: 29 passningar, xT -0.07Oliveira
    Torreense
    Ianique dos Santos Tavares: 190 passningar, xT 0.27TavaresLucas Paes: 130 passningar, xT 0.06PaesJavi Vazquez: 120 passningar, xT 0.33VazquezMohamed Ali Diadie: 102 passningar, xT 0.09DiadieAndre Simoes: 101 passningar, xT 0.16SimoesDavid Bruno: 98 passningar, xT 0.34BrunoGuilherme Liberato Tomas de Aquino: 95 passningar, xT -0.02AquinoLeo Azevedo: 69 passningar, xT 0.05AzevedoAlejandro Alfaro Cascales: 61 passningar, xT 0.26CascalesLuis Eduardo Quintero Hernández: 49 passningar, xT 0.17HernándezDany Jean: 39 passningar, xT 0.05Jean
    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.

    Farense
    Rúben Miguel Marques dos Santos Fernandes: 127 passningar, xT 0.38FernandesMiguel Pedro Miranda de Oliveira Menino: 115 passningar, xT 0.4MeninoCláudio Falcão Santos: 105 passningar, xT 0.31SantosToni Herrero Oliva: 97 passningar, xT 0.3OlivaYannick Semedo: 94 passningar, xT 0.68SemedoCarlos Alexandre Reis Pinto: 88 passningar, xT 0.64PintoBrian da Rocha Araújo: 85 passningar, xT 0.16AraújoAssane Ndiaye Dione: 57 passningar, xT 0.18DioneAndré Miguel Arsénio Candeias: 47 passningar, xT 0CandeiasDerick Theodoro Santos Poloni: 42 passningar, xT 0.3PoloniLeonardo Daniel de Oliveira: 29 passningar, xT -0.07Oliveira
    Torreense
    Ianique dos Santos Tavares: 190 passningar, xT 0.27TavaresLucas Paes: 130 passningar, xT 0.06PaesJavi Vazquez: 120 passningar, xT 0.33VazquezMohamed Ali Diadie: 102 passningar, xT 0.09DiadieAndre Simoes: 101 passningar, xT 0.16SimoesDavid Bruno: 98 passningar, xT 0.34BrunoGuilherme Liberato Tomas de Aquino: 95 passningar, xT -0.02AquinoLeo Azevedo: 69 passningar, xT 0.05AzevedoAlejandro Alfaro Cascales: 61 passningar, xT 0.26CascalesLuis Eduardo Quintero Hernández: 49 passningar, xT 0.17HernándezDany Jean: 39 passningar, xT 0.05Jean

    The teams in numbers

    PerformanceFarenseTorreense
    Points4053
    xPoints46.347.7
    xG per match1.31.4
    xGA per match1.11.2
    xG within 8s of winning the ball0.180.23
    xGA within 8s of losing the ball0.180.21
    Playing styleFarenseTorreense
    Build-up efficiency0.310.3
    Field tilt0.490.52
    xT per match0.940.91
    xTA per match0.780.86
    Won balls, offensive half2723
    Pressing intensity0.210.22
    Pressing efficiency0.320.29
    Pressing efficiency, offensive half0.350.36
    Entries into the box per match1213
    Entries into the box against911
    Pass completion %0.710.74
    Pass completion % under pressure0.660.69
    Passes per match261296
    Passes against per match293325
    Switches of play per match27.231
    Long balls per match4037
    Set piecesFarenseTorreense
    xG from free kicks0.110.08
    Corners per match5.24.5
    Corners against per match4.64.9
    xG per corner0.060.04
    xGA per corner against0.050.05
    First touch, offensive corners %0.440.43
    First touch, defensive corners %0.550.58
    OtherFarenseTorreense
    Throw-in control0.680.71
    The goalkeepersBrian da Rocha Araújo (Farense)Lucas Paes (Torreense)
    Saves9384
    Save %78%77%
    xG prevented64%44%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Farense vs Torreense according to our model?

    The model gives Farense a 36% win probability. Full 1X2 picture: Farense 36%, draw 31%, Torreense 33%.

    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 43% and under at 57%.

    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.