Statistics / Football / Spain. Segunda División / Cadiz vs Leganes

Cadiz vs Leganes Statistics & Analysis

Cadiz Cadiz
May 24, 2026 - 16:30
3 1.44
0 1.49
xG Accuracy: 43%
Leganes Leganes
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Leganes Cadiz ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 3-0 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Segunda División
  • Fixture: Cadiz vs Leganes
  • Kickoff: 2026-05-24 16:00:00
  • 1X2 (model): Home 35.1% · Draw 27.6% · Away 37.3%
  • xG (showing): Cadiz 1.44 — Leganes 1.49 (total xG ≈ 2.93)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 56.1% · Implied: 47.4% · Probability edge: +8.7 pts · Est. EV: +16.7%
  • BTTS (model): Yes 60.6% · No 39.4%
  • Correct score (top bin): 1-1 (11.5%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary angle highlighted on the page: Over 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

June 08, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Segunda División Segunda División — Standings
# TEAM MP W D L PTS
1 Racing Santander 42 25 7 10 82
2 Deportivo La Coruna 42 22 11 9 77
3 Almeria 42 22 8 12 74
4 Malaga 42 21 10 11 73
5 Las Palmas 42 20 13 9 73
6 Castellón 42 20 12 10 72
7 Burgos 42 20 12 10 72
8 Eibar 42 19 10 13 67
9 Cordoba 42 17 10 15 61
10 Sporting Gijon 42 18 7 17 61
11 AD Ceuta FC 42 17 10 15 61
12 Albacete 42 16 11 15 59
13 FC Andorra 42 16 10 16 58
14 Granada CF 42 12 12 18 48
15 Real Sociedad II 42 12 11 19 47
16 Leganes 42 11 13 18 46
17 Valladolid 42 12 10 20 46
18 Cadiz 42 11 10 21 43
19 Mirandes 42 10 10 22 40
20 Huesca 42 9 11 22 38
21 Cultural Leonesa 42 9 10 23 37
22 Zaragoza 42 8 12 22 36
# TEAM MP GS GC +/- PTS
1 Racing Santander 42 90 61 +29 82
2 Almeria 42 81 63 +18 74
3 Malaga 42 75 52 +23 73
4 Castellón 42 70 51 +19 72
5 Deportivo La Coruna 42 65 44 +21 77
6 FC Andorra 42 62 54 +8 58
7 Sporting Gijon 42 60 54 +6 61
8 Las Palmas 42 57 40 +17 73
9 Cordoba 42 57 61 -4 61
10 Albacete 42 56 55 +1 59
11 Eibar 42 52 40 +12 67
12 Real Sociedad II 42 52 61 -9 47
13 AD Ceuta FC 42 51 63 -12 61
14 Granada CF 42 50 56 -6 48
15 Burgos 42 48 33 +15 72
16 Mirandes 42 47 69 -22 40
17 Valladolid 42 44 57 -13 46
18 Leganes 42 43 51 -8 46
19 Cadiz 42 41 61 -20 43
20 Huesca 42 41 63 -22 38
21 Cultural Leonesa 42 39 68 -29 37
22 Zaragoza 42 35 59 -24 36
# TEAM MP xG xGC +/- PTS
1 Castellón 42 41.1 29.0 +12.1 72
2 Valladolid 42 34.2 23.6 +10.6 46
3 Cordoba 42 39.1 32.6 +6.5 61
4 Eibar 42 38.5 32.4 +6.1 67
5 Racing Santander 42 36.6 32.0 +4.6 82
6 Burgos 42 32.1 27.9 +4.2 72
7 Malaga 42 36.9 33.4 +3.5 73
8 Granada CF 42 32.0 29.2 +2.8 48
9 Las Palmas 42 22.9 20.6 +2.3 73
10 Deportivo La Coruna 42 30.2 28.3 +1.9 77
11 Albacete 42 35.2 33.7 +1.5 59
12 Sporting Gijon 42 30.8 29.4 +1.4 61
13 Almeria 42 32.7 31.4 +1.3 74
14 Zaragoza 42 30.6 30.5 +0.1 36
15 Leganes 42 34.1 35.4 -1.3 46
16 FC Andorra 42 31.8 33.5 -1.7 58
17 Huesca 42 27.3 29.6 -2.3 38
18 Real Sociedad II 42 30.7 38.6 -7.9 47
19 AD Ceuta FC 42 35.3 44.9 -9.6 61
20 Mirandes 42 28.2 38.8 -10.6 40
21 Cadiz 42 26.9 39.4 -12.5 43
22 Cultural Leonesa 42 29.1 42.3 -13.2 37
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