Segunda División26°33 km/h

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    CádizCádizBalanced & physical
    vs
    Las PalmasLas PalmasPossession control
    The model's lean: 2 · Las Palmas (49%)

    CádizLas Palmas · Segunda División

    1 · Cádiz 27%X 24%49% Las Palmas · 2

    Analysis: CádizLas Palmas

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

    With Las Palmas grabbing attention, the numbers favor their controlled possession style to dominate. They hold a strong 49% probability of victory in this match against Cádiz. This confidence is rooted in their recent head-to-head success, winning both matchups since 2023. While it's a small sample size, it certainly nudges the scales.

    Cádiz may seem like underdogs with just a 27% win probability, but they've been punching above their weight in terms of xPoints, where they edge Las Palmas (6.0 vs. 4.0). Despite collecting fewer actual points, this suggests they've been somewhat unlucky. Their robust defense, reflected in a lower xGA (0.96) compared to the visitors (1.1), could frustrate the opposition.

    The expected goals tell a tale of slight Las Palmas superiority (1.51 vs. 1.07), hinting at their ability to carve out more quality chances. Yet, Cádiz's balanced and physical approach could stymie those efforts, making the most likely scorelines of 1-1 or 0-1 quite plausible. With the over 2.5 goals tipped at just 48%, a tight affair seems in the offing, though both sides finding the net has a slender majority.

    For bettors seeking an edge, valuable odds of 2.65 on a Las Palmas victory with Betsafe, Betsson, and Nordicbet offer a compelling 30% edge, according to the model's 49% win probability for the visitors. This value angle stands out in a matchup where Las Palmas' ability to control possession may ultimately tip the scales in their favor, despite Cádiz's defensive resilience.

    CádizCádiz
    Form LDDDL
    League ranking xG #9xGA #10xT #20xP/match #5Points #18
    Key players
    • Jose Antonio De La RosaRWxG 0.47 · xT 0.05
    • Javi CastroCBxG 0.12 · xT 0.07
    • Manuel Rivera DomínguezLWBxG 0.00 · xT 0.08
    Las PalmasLas Palmas
    Form DWWLD
    League ranking xG #21xGA #13xT #19xP/match #21Points #10
    Key players
    • Jesé Rodríguez RuizFxG 0.16 · xT 0.05
    • Taisei MiyashiroRWxG 0.08 · xT 0.09
    • Kirian RodriguezCDMxG 0.00 · xT 0.12

    Match prediction: CádizLas Palmas

    Predicted score matrix

    Las Palmas
    Cádiz
    0
    1
    2
    3
    4+
    0
    0–07.9%
    0–111.1%
    0–28.6%
    0–34.3%
    0–4+2.3%
    1
    1–07.7%
    1–112.6%
    1–29.2%
    1–34.7%
    1–4+2.5%
    2
    2–04.3%
    2–16.6%
    2–25.0%
    2–32.5%
    2–4+1.3%
    3
    3–01.5%
    3–12.3%
    3–21.8%
    3–30.9%
    3–4+0.5%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.6%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-29%
    4. 4.0-29%
    5. 5.0-08%
    Expected goals
    1,071,51
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @1.79
    Over 2,548%
    @2.07

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Las Palmas to win49%
    • Under 3.5 goals74%

    Combined probability

    33%

    Fair odds

    3.00

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

    02 · 3 legs

    Balanced

    • Las Palmas to win49%
    • Under 2.5 goals52%
    • Manuel Fuster Lázaro to score26%

    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 score52%
    • Over 2.5 goals48%
    • Manuel Fuster Lázaro to score26%
    • Enzo Lilian Marin Loiodice 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 · Las Palmas49% probability@2.52PinnacleEV+23%reference odds
    • 2 · Las Palmas49% probability@2.45BetsafeEV+20%reference odds
    • 2 · Las Palmas49% probability@2.45BetssonEV+20%reference odds
    Bookmaker1 · CádizX2 · Las Palmas
    Betsafe2.723.15
    EV+ 20%
    2.45
    Betsson2.723.15
    EV+ 20%
    2.45
    Nordicbet2.723.15
    EV+ 20%
    2.45
    Pinnacle2.873.36
    EV+ 23%
    2.52

    Odds updated 11 Sept, 16:39

    Odds movement

    Market signal

    The market has moved clearly towards an Las Palmas win since 7 September — the odds have shortened from 2.77 to 2.52 (−9%).

    1+12 %
    38 %33 %

    2.572.87

    X+2 %
    31 %26 %

    3.313.36

    2-9 %
    39 %34 %

    2.772.52

    Over 2,5+1 %
    49 %44 %

    2.052.07

    Pinnacle · 9 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Cádiz 0Draw 0Las Palmas 2
    Goals: 13 (⌀ 2)

    Head-to-head based on Segunda División data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Cádiz
    Las Palmas
    When goals are scored and conceded 2026
    Cádiz (56)
    Las Palmas (66)
    Pass networks

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

    Cádiz
    Javi Castro: 258 passningar, xT 0.24CastroDamián Rodríguez Sousa: 180 passningar, xT 0.07SousaJuan Díaz Peregrina: 123 passningar, xT 0.37PeregrinaManuel Rivera Domínguez: 89 passningar, xT 0.13DomínguezNoah Obioma Ukwuije: 78 passningar, xT 0.04UkwuijeBojan Kovačević: 77 passningar, xT 0.07KovačevićJokin Ezkieta: 73 passningar, xT 0.03EzkietaAntonio José Cordero Campillo: 73 passningar, xT 0.12CampilloUrko Iruretagoiena Lertxundi: 55 passningar, xT -0.08LertxundiRominigue Kouamé N'Guessan: 52 passningar, xT 0.03N'GuessanAlejandro Orellana Gómez: 50 passningar, xT -0.03Gómez
    Las Palmas
    Kirian Rodriguez: 251 passningar, xT 0.35RodriguezAlex Suarez: 180 passningar, xT 0.18SuarezJuanma Herzog: 176 passningar, xT 0.13HerzogValentín Alejandro Pezzolesi: 167 passningar, xT -0.08PezzolesiJosé Antonio Caro Díaz: 140 passningar, xT 0.18DíazEnzo Lilian Marin Loiodice: 118 passningar, xT -0.01LoiodiceGiovanni Bonfanti: 114 passningar, xT 0.33BonfantiManu Fuster: 114 passningar, xT 0.33FusterTaisei Miyashiro: 82 passningar, xT 0.05MiyashiroEnrique Clemente: 64 passningar, xT -0.02ClementeInaki Gonzalez: 59 passningar, xT 0.06Gonzalez
    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.

    Cádiz
    Javi Castro: 258 passningar, xT 0.24CastroDamián Rodríguez Sousa: 180 passningar, xT 0.07SousaJuan Díaz Peregrina: 123 passningar, xT 0.37PeregrinaManuel Rivera Domínguez: 89 passningar, xT 0.13DomínguezNoah Obioma Ukwuije: 78 passningar, xT 0.04UkwuijeBojan Kovačević: 77 passningar, xT 0.07KovačevićJokin Ezkieta: 73 passningar, xT 0.03EzkietaAntonio José Cordero Campillo: 73 passningar, xT 0.12CampilloUrko Iruretagoiena Lertxundi: 55 passningar, xT -0.08LertxundiRominigue Kouamé N'Guessan: 52 passningar, xT 0.03N'GuessanAlejandro Orellana Gómez: 50 passningar, xT -0.03Gómez
    Las Palmas
    Kirian Rodriguez: 251 passningar, xT 0.35RodriguezAlex Suarez: 180 passningar, xT 0.18SuarezJuanma Herzog: 176 passningar, xT 0.13HerzogValentín Alejandro Pezzolesi: 167 passningar, xT -0.08PezzolesiJosé Antonio Caro Díaz: 140 passningar, xT 0.18DíazEnzo Lilian Marin Loiodice: 118 passningar, xT -0.01LoiodiceGiovanni Bonfanti: 114 passningar, xT 0.33BonfantiManu Fuster: 114 passningar, xT 0.33FusterTaisei Miyashiro: 82 passningar, xT 0.05MiyashiroEnrique Clemente: 64 passningar, xT -0.02ClementeInaki Gonzalez: 59 passningar, xT 0.06Gonzalez

    The teams in numbers

    PerformanceCádizLas Palmas
    Points37
    xPoints64
    xG per match1.10.72
    xGA per match0.961.1
    xG within 8s of winning the ball0.340.12
    xGA within 8s of losing the ball0.230.23
    Playing styleCádizLas Palmas
    Build-up efficiency0.330.27
    Field tilt0.440.57
    xT per match0.560.65
    xTA per match0.590.94
    Won balls, offensive half2219
    Pressing intensity0.240.24
    Pressing efficiency0.250.24
    Pressing efficiency, offensive half0.210.16
    Entries into the box per match89
    Entries into the box against1111
    Pass completion %0.780.81
    Pass completion % under pressure0.730.79
    Passes per match387426
    Passes against per match385350
    Switches of play per match21.820.5
    Long balls per match2827
    Set piecesCádizLas Palmas
    xG from free kicks0.010.02
    Corners per match4.32.8
    Corners against per match4.35.1
    xG per corner0.040.01
    xGA per corner against0.020.02
    First touch, offensive corners %0.410.27
    First touch, defensive corners %0.710.5
    OtherCádizLas Palmas
    Throw-in control0.60.68
    The goalkeepersJokin Ezkieta (Cádiz)José Antonio Caro Díaz (Las Palmas)
    Saves1912
    Save %76%67%
    xG prevented68%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Cádiz vs Las Palmas according to our model?

    The model gives Las Palmas a 49% win probability. Full 1X2 picture: Cádiz 27%, draw 24%, Las Palmas 49%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.