Segunda División24°19 km/h

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    SabadellSabadellPossession control
    10
    AlmeríaAlmeríaBalanced & physical
    The model's lean: 2 · Almería (49%)

    SabadellAlmería · Segunda División

    1 · Sabadell 24%X 26%49% Almería · 2

    Analysis: SabadellAlmería

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

    Sabadell's solid grip on possession will confront Almería's physicality in a clash of styles that could tilt the match either way. The hosts have been keen to dictate tempo, reflected in their superior expected points (xPoints) of 4.3 compared to Almería's 3.1. Yet, despite this advantage in creating opportunities, Sabadell trails behind in actual points, managing just two to Almería's three. This discrepancy hints at inefficiencies in turning possession into concrete results.

    The expected goals (xG) metric presents both teams evenly matched, each averaging 1.5 per game. However, Sabadell has the edge defensively with a lower expected goals against (xGA) of 0.59, suggesting a more robust backline compared to Almería's 0.82. This could prove decisive, particularly if the match remains tight. Almería's balanced approach has seen them better handle the physical duels, a factor that might disrupt Sabadell's rhythm and create scoring opportunities.

    In recent meetings, the sample size is too small to heavily influence predictions, so the current form takes precedence. With the model favoring the visitors at 49% probability for victory and most likely scorelines gravitating towards narrow margins, a 1-1 draw or a 1-2 win for Almería appears plausible. The over 2.5 goals market leans slightly towards occurring, with a 56% chance.

    For bettors seeking value, the over 3.5 goals market offers a significant edge. Both Betsafe, Betsson, and Nordicbet list this at odds of 3.8, while the model suggests a 34% probability, implying a substantial 29% edge. It’s a bold punt, but with both teams showing potential for higher scoring outcomes, it's worth considering as an astute move.

    SabadellSabadell
    Form DD
    League ranking xG #3xGA #3xT #10xP/match #1Points #16
    Key players
    • Albert Orriols CerarolsCDMxG 0.02 · xT 0.05
    • Quadri LiameedRWxG 0.05 · xT 0.19
    • Óscar Sanz NavalCBxG 0.07 · xT 0.09
    AlmeríaAlmería
    Form WDLWL
    League ranking xG #4xGA #8xT #16xP/match #8Points #13
    Key players
    • Federico BoniniCBxG 0.08 · xT 0.05
    • Stefan DžodićCMxG 0.53 · xT 0.02
    • Alex MunozLBxG 0.04 · xT 0.13
    Final score
    10
    The model missed the outcome
    Predicted probabilities: Sabadell 24% · Draw 26% · Almería 49%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - AlmeríaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 11,81fair 6,58+80 %
    Miss
    Matchresultat - SabadellBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,68fair 12,92-25 %
    Miss

    Match prediction: SabadellAlmería

    Predicted score matrix

    Almería
    Sabadell
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–18.8%
    0–27.8%
    0–34.5%
    0–4+2.8%
    1
    1–06.1%
    1–111.4%
    1–29.5%
    1–35.5%
    1–4+3.4%
    2
    2–04.0%
    2–16.8%
    2–25.8%
    2–33.3%
    2–4+2.1%
    3
    3–01.6%
    3–12.8%
    3–22.4%
    3–31.4%
    3–4+0.9%
    4+
    4+–00.6%
    4+–11.1%
    4+–20.9%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-210%
    3. 3.0-19%
    4. 4.0-28%
    5. 5.2-17%
    Expected goals
    1,221,72
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.63
    Over 2,556%
    @2.35EV+24%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Almería to win49%
    • Over 1.5 goals79%

    Combined probability

    40%

    Fair odds

    2.51

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

    02 · 3 legs

    Balanced

    • Almería to win49%
    • Over 2.5 goals56%
    • Adrián Embarba Blázquez to score27%

    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 score58%
    • Over 2.5 goals56%
    • Adrián Embarba Blázquez to score27%
    • Albert Orriols Cerarols 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

    The model's value spots

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

    • 2 · Almería49% probability@3.09PinnacleEV+53%reference odds
    • 2 · Almería49% probability@2.95BetsafeEV+46%reference odds
    • 2 · Almería49% probability@2.95BetssonEV+46%reference odds
    Bookmaker1 · SabadellX2 · Almería
    Betsafe2.383.05
    EV+ 46%
    2.95
    Betsson2.383.05
    EV+ 46%
    2.95
    Nordicbet2.383.05
    EV+ 46%
    2.95
    Pinnacle2.483.23
    EV+ 53%
    3.09

    Odds updated 29 Aug, 11:37

    Odds movement

    Market signal

    The market has moved clearly towards a Sabadell win since 25 August — the odds have shortened from 2.75 to 2.48 (−10%).

    1-10 %
    41 %31 %

    2.752.48

    X+2 %
    35 %25 %

    3.163.23

    2+15 %
    39 %29 %

    2.683.09

    Over 2,5+4 %
    47 %37 %

    2.272.35

    Pinnacle · 19 recorded price levels · 25/08/2026 → 29/08/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Sabadell
    Almería
    When goals are scored and conceded 2026
    Almería (31)
    Pass networks

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

    Sabadell
    Albert Orriols Cerarols: 65 passningar, xT 0.08CerarolsÓscar Sanz Naval: 52 passningar, xT 0.17NavalArthur Renan Bonaldo: 51 passningar, xT 0.03BonaldoEdgar González Estrada: 51 passningar, xT 0.06EstradaQuadri Liameed: 41 passningar, xT 0.41LiameedGastón Andrés Lodico: 35 passningar, xT 0.21LodicoDiego Licinio Lázaro Fuoli: 25 passningar, xT 0.05FuoliPere Pons Riera: 24 passningar, xT 0.02RieraMiquel Codina Sayol: 24 passningar, xT -0.03SayolJoel Priego Borrego: 17 passningar, xT 0.13BorregoNicholas Selson Gioacchini: 8 passningar, xT 0.38Gioacchini
    Almería
    Federico Bonini: 172 passningar, xT 0.11BoniniJorge Pulido: 137 passningar, xT 0.23PulidoStefan Džodić: 111 passningar, xT 0.04DžodićDaijiro Chirino: 107 passningar, xT 0.11ChirinoAlex Munoz: 97 passningar, xT 0.22MunozAndres Fernandez: 54 passningar, xT -0.03FernandezGui Guedes: 54 passningar, xT -0.01GuedesSergio Arribas: 51 passningar, xT 0.12ArribasAdrián Embarba Blázquez: 48 passningar, xT -0.05BlázquezNico Melamed: 46 passningar, xT -0.07MelamedMikel Vesga Arruti: 33 passningar, xT -0.01Arruti
    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.

    Sabadell
    Albert Orriols Cerarols: 65 passningar, xT 0.08CerarolsÓscar Sanz Naval: 52 passningar, xT 0.17NavalArthur Renan Bonaldo: 51 passningar, xT 0.03BonaldoEdgar González Estrada: 51 passningar, xT 0.06EstradaQuadri Liameed: 41 passningar, xT 0.41LiameedGastón Andrés Lodico: 35 passningar, xT 0.21LodicoDiego Licinio Lázaro Fuoli: 25 passningar, xT 0.05FuoliPere Pons Riera: 24 passningar, xT 0.02RieraMiquel Codina Sayol: 24 passningar, xT -0.03SayolJoel Priego Borrego: 17 passningar, xT 0.13BorregoNicholas Selson Gioacchini: 8 passningar, xT 0.38Gioacchini
    Almería
    Federico Bonini: 172 passningar, xT 0.11BoniniJorge Pulido: 137 passningar, xT 0.23PulidoStefan Džodić: 111 passningar, xT 0.04DžodićDaijiro Chirino: 107 passningar, xT 0.11ChirinoAlex Munoz: 97 passningar, xT 0.22MunozAndres Fernandez: 54 passningar, xT -0.03FernandezGui Guedes: 54 passningar, xT -0.01GuedesSergio Arribas: 51 passningar, xT 0.12ArribasAdrián Embarba Blázquez: 48 passningar, xT -0.05BlázquezNico Melamed: 46 passningar, xT -0.07MelamedMikel Vesga Arruti: 33 passningar, xT -0.01Arruti

    The teams in numbers

    PerformanceSabadellAlmería
    Points23
    xPoints4.33.1
    xG per match1.51.5
    xGA per match0.590.82
    xG within 8s of winning the ball0.340.11
    xGA within 8s of losing the ball0.160.06
    Playing styleSabadellAlmería
    Build-up efficiency0.330.3
    Field tilt0.340.48
    xT per match0.80.65
    xTA per match10.9
    Won balls, offensive half3221
    Pressing intensity0.220.24
    Pressing efficiency0.250.31
    Pressing efficiency, offensive half0.220.3
    Entries into the box per match1010
    Entries into the box against911
    Pass completion %0.620.83
    Pass completion % under pressure0.520.76
    Passes per match219491
    Passes against per match451318
    Switches of play per match1721.1
    Long balls per match2422
    Set piecesSabadellAlmería
    xG from free kicks00.47
    Corners per match5.76.9
    Corners against per match3.16.4
    xG per corner0.050.03
    xGA per corner against00.01
    First touch, offensive corners %0.360.36
    First touch, defensive corners %0.670.54
    OtherSabadellAlmería
    Throw-in control0.660.72
    The goalkeepersDiego Licinio Lázaro Fuoli (Sabadell)Andres Fernandez (Almería)
    Saves64
    Save %100%80%
    xG prevented100%23%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sabadell vs Almería according to our model?

    The model gives Almería a 49% win probability. Full 1X2 picture: Sabadell 24%, draw 26%, Almería 49%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.