Segunda División: Predictions, Odds & Tips

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    Model-based predictions for the Segunda División — Spain's second tier: 22 teams, 42 rounds and one of Europe's tightest leagues, analysed by the same match model that powers PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team: strength, form, playing style, squad and weather.

    The predictions are held against live odds from multiple bookmakers, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.

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    League table2026/27

    PosTeamSW–D–LGF–GAPxPxGxGAxGDFTStyle
    1CD Tenerife11–0–03130,80,41,4−1,042 %Low block & direct
    2Mallorca11–0–02030,80,51,0−0,556 %Balanced & physical
    3Burgos11–0–03231,61,61,7−0,139 %Low block & direct
    4Las Palmas11–0–02130,90,91,0−0,154 %Possession control
    5Castellon11–0–01032,31,70,2+1,570 %Possession control
    6FC Andorra10–1–05112,52,80,4+2,478 %Possession & high press
    7Girona10–1–01112,22,30,3+2,091 %Possession & high press
    8Leganés10–1–01110,60,32,3−2,09 %Low block & direct
    9Granada10–1–00011,60,60,5+0,142 %Low block & direct
    10Real Oviedo10–1–00010,90,50,6−0,158 %Possession control
    11Cádiz10–1–00011,71,10,4+0,755 %Possession & high press
    12Celta Fortuna10–1–00011,00,41,1−0,745 %Counter-attacks & crosses
    13Ceuta10–1–01510,40,42,8−2,422 %Low block & direct
    14Córdoba10–0–12301,11,71,6+0,161 %Counter-attacks & crosses
    15Albacete10–0–11201,71,00,9+0,146 %Low block & direct
    16Real Sociedad B10–0–10100,50,21,7−1,530 %Low block & direct
    17Eibar10–0–11301,91,40,4+1,058 %Possession control
    18Real Valladolid10–0–10201,91,00,5+0,544 %Balanced & physical

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    No settled matches yet for this selection — the scorecard fills in after every played round.

    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

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