Liga Portugal 225°24 km/h

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    FarenseFarensePossession control
    21
    TorreenseTorreensePossession control
    The model's lean: 1 · Farense (36%)

    Farense vs Torreense · Liga Portugal 2

    1 · Farense 36%X 31%33% Torreense · 2

    Analysis: FarenseTorreense

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

    Sport Clube Uniao Torreense holds a slender edge over Farense, with 53 points against their opponent's 40. However, the expected goals suggest a tighter contest, indicated by 1.4 xG per match for Torreense and 1.3 for Farense. Despite this, Farense has a slight advantage defensively, conceding fewer expected goals per match (1.1 compared to Torreense’s 1.2).

    The tightness of this matchup is further reflected in the model's probabilities: Farense is given a 36% chance to win, with Torreense not far behind at 33%. The odds of a draw at 31% underline just how closely matched these sides are. When you factor in the expected goals — 1.18 for Farense and 1.20 for Torreense — it's a dead heat pointing towards a low-scoring affair. The most likely scorelines also support this narrative, with 1-1 (13%), 0-1 (11%), and 1-0 (11%) as the top contenders.

    Farense comes into this game with a home value proposition that cannot be ignored. At odds of 3.07 with Pinnacle, the model rates them as having a 36% chance of victory, offering a healthy 10% edge. This value play stands out in a match where other betting angles appear finely balanced.

    Despite Torreense's slight lead in points and xPoints, the single head-to-head encounter this season, which they won, is too small a sample to heavily influence predictions. Both teams favor possession control, and with the expected goals for both sides hovering around one, it's rational to lean under 2.5 goals.

    The value lies with Farense at home, providing a tempting opportunity at the offered odds. Should luck smile, a narrow 1-0 win for Farense could pay dividends for those backing the home side’s value edge.

    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 0.20
    • Dany JeanLWxG 0.11 · xT 0.07
    Final score
    21
    The model called the outcome
    Predicted probabilities: Farense 36% · Draw 31% · Torreense 33%

    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%
    @1.66
    Over 2,543%
    @2.24

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Farense or draw (1X)64%
    • Under 3.5 goals78%

    Combined probability

    50%

    Fair odds

    1.99

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

    02 · 3 legs

    Balanced

    • Double chance Farense or draw (1X)64%
    • Under 2.5 goals57%
    • Leonardo Daniel de Oliveira to score24%

    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 score49%
    • Over 2.5 goals43%
    • Leonardo Daniel de Oliveira to score24%
    • Guilherme Liberato Tomas de Aquino to be booked26%

    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+).

    • 1 · Farense36% probability@3.33PinnacleEV+20%reference odds
    • X · Draw31% probability@3.30PinnacleEV+3%reference odds
    Bookmaker1 · FarenseX2 · Torreense
    Pinnacle
    EV+ 20%
    3.33
    EV+ 3%
    3.30
    2.25

    Odds updated 9 Aug, 10:09

    Odds movement

    Market signal

    The market has moved clearly towards an Torreense win since 4 August — the odds have shortened from 2.62 to 2.25 (−14%).

    1+17 %
    35 %25 %

    2.843.33

    X+9 %
    35 %25 %

    3.033.30

    2-14 %
    45 %35 %

    2.622.25

    Over 2,5-1 %
    47 %37 %

    2.272.24

    Pinnacle · 11 recorded price levels · 04/08/2026 → 09/08/2026 · fixed scale 10 percentage points

    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%)

    Teams & more matches this round

    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.