Segunda División19°27 km/h

    Läs på svenska
    MallorcaMallorcaPossession & high press
    vs
    Las PalmasLas PalmasPossession control
    The model's lean: 1 · Mallorca (50%)Best value by the model: 2 · Las Palmas @ 4.60 (+4 %)

    Mallorca vs Las Palmas · Segunda División

    1 · Mallorca 50%X 27%23% Las Palmas · 2

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Mallorca – Las Palmas

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: The head-to-head data doesn't provide much clarity here, given the small sample size, so we turn to current form and expected goals to shape our analysis. Mallorca enters this matchup with a slight edge, both in actual points (13 vs 10) and expected points (9.6 vs 8.5), suggesting they're more efficient in converting their chances. The visitors, Las Palmas, trail behind in these metrics, reflecting a less effective approach in the season so far.

    Mallorca's playing style combines possession with a high press, which has proven effective, yielding an xG of 1.2 to their opponents' 0.92. This more aggressive fashion contrasts with Las Palmas' possession control approach, which tends to suppress their own attacking stats. The hosts' defensive numbers further underline their superiority, conceding just 0.94 xGA per match compared to the visitors' 1.1. These figures suggest that Mallorca not only creates more opportunities but also stifles their opponents more effectively.

    Predictions from the model lean towards a narrow advantage for Mallorca, with a most likely scoreline of 1-1 at 12%, followed by a 1-0 or 2-1 win for Mallorca, both at 10%. Despite the fine margins, the slight statistical edge across multiple facets favors the hosts. The over/under market is finely balanced at 51% for over 2.5 goals, suggesting a match that could see moments of intensity but is unlikely to explode with goals.

    For those looking for value, the data points toward backing Mallorca. With the model assigning Mallorca a 50% win probability, the numbers suggest this might be the angle to explore as we head into this Segunda División clash.

    MallorcaMallorca
    Form WDWWL
    League ranking xG #9xGA #5xT #15xP/match #8Points #6
    Key players
    • Martin ValjentCBxG 0.00 · xT 0.06
    • Toni LatoLBxG 0.01 · xT 0.15
    • Antonio RailloCBxG 0.06 · xT 0.09
    Las PalmasLas Palmas
    Form LDWLL
    League ranking xG #20xGA #9xT #12xP/match #19Points #12
    Key players
    • Kirian RodriguezCDMxG 0.02 · xT 0.18
    • Valentín Alejandro PezzolesiRWBxG 0.03 · xT -0.01
    • Alex SuarezCBxG 0.00 · xT 0.05

    Match prediction: Mallorca – Las Palmas

    Predicted score matrix

    Las Palmas →
    Mallorca →
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–16.9%
    0–24.0%
    0–31.4%
    0–4+0.5%
    1
    1–010.5%
    1–112.1%
    1–26.4%
    1–32.3%
    1–4+0.8%
    2
    2–08.8%
    2–19.5%
    2–25.2%
    2–31.9%
    2–4+0.6%
    3
    3–04.7%
    3–15.1%
    3–22.8%
    3–31.0%
    3–4+0.3%
    4+
    4+–02.7%
    4+–13.0%
    4+–21.6%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,62–1,09
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    –
    Over 2,551%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Mallorca to win50%
    • Over 1.5 goals76%

    Combined probability

    39%

    Fair odds

    2.58

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

    02 · 3 legs

    Balanced

    • Mallorca to win50%
    • Over 2.5 goals51%
    • Adrian Fuentes Gonzalez to score29%

    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 score53%
    • Over 2.5 goals51%
    • Adrian Fuentes Gonzalez to score29%
    • Enzo Lilian Marin Loiodice to be booked25%

    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 Palmas23% probability@4.60BetsafeEV+4%reference odds
    • 2 · Las Palmas23% probability@4.60NordicbetEV+4%reference odds
    • 2 · Las Palmas23% probability@4.50LeoVegasEV+1%reference odds
    Bookmaker1 · MallorcaX2 · Las Palmas
    Betsafe1.683.55
    EV+ 4%
    4.60
    LeoVegas1.683.65
    EV+ 1%
    4.50
    Nordicbet1.683.55
    EV+ 4%
    4.60

    Odds updated 4 Oct, 18:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Mallorca
    Las Palmas
    When goals are scored and conceded — 2026
    Mallorca (8–3)
    Las Palmas (10–11)
    Pass networks

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

    Mallorca
    Antonio Raillo: 310 passningar, xT 0.29RailloMartin Valjent: 233 passningar, xT 0.23ValjentManu Morlanes: 191 passningar, xT 0.07MorlanesMiguel Calatayud García: 161 passningar, xT 0.25GarcíaAboubaka Soumahoro: 156 passningar, xT 0.18SoumahoroÁlex Sala Herrero: 150 passningar, xT 0.49HerreroPablo Torre: 147 passningar, xT 0.08TorreArnau Tenas Ureña: 145 passningar, xT 0.35UreñaSergi Darder: 134 passningar, xT 0.03DarderToni Lato: 82 passningar, xT 0.54LatoJohn Chetauya Nwankwo Donald Okeh: 72 passningar, xT 0.11Okeh
    Las Palmas
    Kirian Rodriguez: 252 passningar, xT 0.58RodriguezGiovanni Bonfanti: 220 passningar, xT 0.19BonfantiValentín Alejandro Pezzolesi: 206 passningar, xT -0.06PezzolesiEnzo Lilian Marin Loiodice: 193 passningar, xT 0.39LoiodiceInaki Gonzalez: 178 passningar, xT 0.57GonzalezJuanma Herzog: 173 passningar, xT 0.25HerzogJosé Antonio Caro Díaz: 143 passningar, xT 0.16DíazAlex Suarez: 131 passningar, xT 0.15SuarezManu Fuster: 111 passningar, xT 0.59FusterEnrique Clemente: 96 passningar, xT 0.03ClementeTaisei Miyashiro: 90 passningar, xT 0.01Miyashiro
    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.

    Mallorca
    Antonio Raillo: 310 passningar, xT 0.29RailloMartin Valjent: 233 passningar, xT 0.23ValjentManu Morlanes: 191 passningar, xT 0.07MorlanesMiguel Calatayud García: 161 passningar, xT 0.25GarcíaAboubaka Soumahoro: 156 passningar, xT 0.18SoumahoroÁlex Sala Herrero: 150 passningar, xT 0.49HerreroPablo Torre: 147 passningar, xT 0.08TorreArnau Tenas Ureña: 145 passningar, xT 0.35UreñaSergi Darder: 134 passningar, xT 0.03DarderToni Lato: 82 passningar, xT 0.54LatoJohn Chetauya Nwankwo Donald Okeh: 72 passningar, xT 0.11Okeh
    Las Palmas
    Kirian Rodriguez: 252 passningar, xT 0.58RodriguezGiovanni Bonfanti: 220 passningar, xT 0.19BonfantiValentín Alejandro Pezzolesi: 206 passningar, xT -0.06PezzolesiEnzo Lilian Marin Loiodice: 193 passningar, xT 0.39LoiodiceInaki Gonzalez: 178 passningar, xT 0.57GonzalezJuanma Herzog: 173 passningar, xT 0.25HerzogJosé Antonio Caro Díaz: 143 passningar, xT 0.16DíazAlex Suarez: 131 passningar, xT 0.15SuarezManu Fuster: 111 passningar, xT 0.59FusterEnrique Clemente: 96 passningar, xT 0.03ClementeTaisei Miyashiro: 90 passningar, xT 0.01Miyashiro

    The teams in numbers

    PerformanceMallorcaLas Palmas
    Points1310
    xPoints9.68.5
    xG per match1.20.92
    xGA per match0.941.1
    xG within 8s of winning the ball0.350.13
    xGA within 8s of losing the ball0.230.24
    Playing styleMallorcaLas Palmas
    Build-up efficiency0.30.27
    Field tilt0.60.64
    xT per match0.790.83
    xTA per match0.720.91
    Won balls, offensive half2424
    Pressing intensity0.220.23
    Pressing efficiency0.310.24
    Pressing efficiency, offensive half0.260.17
    Entries into the box per match1112
    Entries into the box against911
    Pass completion %0.810.8
    Pass completion % under pressure0.750.77
    Passes per match411417
    Passes against per match326350
    Switches of play per match16.719.1
    Long balls per match2524
    Set piecesMallorcaLas Palmas
    xG from free kicks0.040.1
    Corners per match3.94.4
    Corners against per match4.55.4
    xG per corner0.060.01
    xGA per corner against0.030.02
    First touch, offensive corners %0.370.34
    First touch, defensive corners %0.580.39
    OtherMallorcaLas Palmas
    Throw-in control0.650.71
    The goalkeepersArnau Tenas Ureña (Mallorca)José Antonio Caro Díaz (Las Palmas)
    Saves1818
    Save %90%62%
    xG prevented51%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Mallorca vs Las Palmas according to our model?

    The model gives Mallorca a 50% win probability. Full 1X2 picture: Mallorca 50%, draw 27%, Las Palmas 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.