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

Leganes vs Huesca Statistics & Analysis

Leganes Leganes
May 18, 2026 - 18:30
0 1.62
0 1.37
xG Accuracy: 44%
Huesca Huesca
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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 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Leganes Draw ✖ Incorrect
  • Correct Score Insights 1-1 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Segunda División
  • Fixture: Leganes vs Huesca
  • Kickoff: 2026-05-17 16:00:00
  • 1X2 (model): Home 42.0% · Draw 27.0% · Away 31.0%
  • xG (showing): Leganes 1.62 — Huesca 1.37 (total xG ≈ 2.99)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 57.5% · Implied: 49.1% · Probability edge: +8.4 pts · Est. EV: +17.3%
  • BTTS (model): Yes 61.3% · No 38.7%
  • Correct score (top bin): 1-1 (11.2%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

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).

Edges shrink quickly if prices move; always re-check the number on your book.

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.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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

May 19, 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 40 24 6 10 78
2 Deportivo La Coruna 40 21 11 8 74
3 Almeria 40 21 8 11 71
4 Malaga 40 20 9 11 69
5 Las Palmas 40 19 12 9 69
6 Castellón 40 18 12 10 66
7 Burgos 40 18 12 10 66
8 Eibar 40 18 10 12 64
9 Cordoba 40 17 9 14 60
10 FC Andorra 40 16 10 14 58
11 Albacete 40 15 11 14 56
12 Sporting Gijon 40 16 7 17 55
13 AD Ceuta FC 40 15 10 15 55
14 Granada CF 40 12 12 16 48
15 Real Sociedad II 40 12 10 18 46
16 Valladolid 40 12 10 18 46
17 Leganes 39 10 12 17 42
18 Cadiz 40 10 10 20 40
19 Mirandes 40 9 10 21 37
20 Huesca 39 9 9 21 36
21 Cultural Leonesa 40 9 9 22 36
22 Zaragoza 40 8 11 21 35
# TEAM MP GS GC +/- PTS
1 Racing Santander 40 85 59 +26 78
2 Almeria 40 79 60 +19 71
3 Malaga 40 72 51 +21 69
4 Castellón 40 67 50 +17 66
5 Deportivo La Coruna 40 62 42 +20 74
6 FC Andorra 40 62 51 +11 58
7 Cordoba 40 56 58 -2 60
8 Sporting Gijon 40 55 52 +3 55
9 Las Palmas 40 54 38 +16 69
10 Albacete 40 53 53 0 56
11 Real Sociedad II 40 50 57 -7 46
12 Eibar 40 49 38 +11 64
13 Granada CF 40 48 51 -3 48
14 AD Ceuta FC 40 48 63 -15 55
15 Burgos 40 45 33 +12 66
16 Valladolid 40 44 54 -10 46
17 Mirandes 40 44 67 -23 37
18 Leganes 39 42 48 -6 42
19 Huesca 39 40 61 -21 36
20 Cultural Leonesa 40 38 65 -27 36
21 Cadiz 40 37 57 -20 40
22 Zaragoza 40 34 56 -22 35
# TEAM MP xG xGC +/- PTS
1 Castellón 40 41.1 29.0 +12.1 66
2 Valladolid 40 34.2 23.6 +10.6 46
3 Cordoba 40 39.1 32.6 +6.5 60
4 Eibar 40 38.5 32.4 +6.1 64
5 Racing Santander 40 36.6 32.0 +4.6 78
6 Burgos 40 32.1 27.9 +4.2 66
7 Malaga 40 36.9 33.4 +3.5 69
8 Granada CF 40 32.0 29.2 +2.8 48
9 Las Palmas 40 22.9 20.6 +2.3 69
10 Deportivo La Coruna 40 30.2 28.3 +1.9 74
11 Albacete 40 35.2 33.7 +1.5 56
12 Sporting Gijon 40 30.8 29.4 +1.4 55
13 Almeria 40 32.7 31.4 +1.3 71
14 Zaragoza 40 30.6 30.5 +0.1 35
15 Leganes 39 34.1 35.4 -1.3 42
16 FC Andorra 40 31.8 33.5 -1.7 58
17 Huesca 39 27.3 29.6 -2.3 36
18 Real Sociedad II 40 30.7 38.6 -7.9 46
19 AD Ceuta FC 40 35.3 44.9 -9.6 55
20 Mirandes 40 28.2 38.8 -10.6 37
21 Cadiz 40 26.9 39.4 -12.5 40
22 Cultural Leonesa 40 29.1 42.3 -13.2 36
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