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

Leganes vs Huesca Prediction, Odds & AI Betting Tips

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, 2-1, 1-0, 1-2, 0-1 0-0 ✖ Incorrect

Next AI Predictions Available Today

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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 25, 2026 (UTC)

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Segunda División Segunda División — Standings
# TEAM MP W D L PTS
1 Racing Santander 41 24 7 10 79
2 Deportivo La Coruna 41 22 11 8 77
3 Almeria 41 21 8 12 71
4 Malaga 41 20 10 11 70
5 Las Palmas 41 19 13 9 70
6 Castellón 41 19 12 10 69
7 Burgos 41 19 12 10 69
8 Eibar 41 19 10 12 67
9 Cordoba 41 17 9 15 60
10 Albacete 41 16 11 14 59
11 AD Ceuta FC 41 16 10 15 58
12 Sporting Gijon 41 17 7 17 58
13 FC Andorra 41 16 10 15 58
14 Granada CF 41 12 12 17 48
15 Real Sociedad II 41 12 10 19 46
16 Valladolid 41 12 10 19 46
17 Cadiz 41 11 10 20 43
18 Leganes 41 10 13 18 43
19 Mirandes 41 10 10 21 40
20 Huesca 41 9 10 22 37
21 Cultural Leonesa 41 9 9 23 36
22 Zaragoza 41 8 12 21 36
# TEAM MP GS GC +/- PTS
1 Racing Santander 41 86 60 +26 79
2 Almeria 41 80 63 +17 71
3 Malaga 41 73 52 +21 70
4 Castellón 41 68 50 +18 69
5 Deportivo La Coruna 41 64 42 +22 77
6 FC Andorra 41 62 53 +9 58
7 Sporting Gijon 41 58 53 +5 58
8 Albacete 41 56 54 +2 59
9 Cordoba 41 56 60 -4 60
10 Las Palmas 41 55 39 +16 70
11 Eibar 41 51 38 +13 67
12 Real Sociedad II 41 51 60 -9 46
13 AD Ceuta FC 41 50 63 -13 58
14 Granada CF 41 49 54 -5 48
15 Burgos 41 47 33 +14 69
16 Mirandes 41 47 68 -21 40
17 Valladolid 41 44 56 -12 46
18 Leganes 41 42 51 -9 43
19 Cadiz 41 40 57 -17 43
20 Huesca 41 40 62 -22 37
21 Cultural Leonesa 41 38 67 -29 36
22 Zaragoza 41 35 57 -22 36
# TEAM MP xG xGC +/- PTS
1 Castellón 41 41.1 29.0 +12.1 69
2 Valladolid 41 34.2 23.6 +10.6 46
3 Cordoba 41 39.1 32.6 +6.5 60
4 Eibar 41 38.5 32.4 +6.1 67
5 Racing Santander 41 36.6 32.0 +4.6 79
6 Burgos 41 32.1 27.9 +4.2 69
7 Malaga 41 36.9 33.4 +3.5 70
8 Granada CF 41 32.0 29.2 +2.8 48
9 Las Palmas 41 22.9 20.6 +2.3 70
10 Deportivo La Coruna 41 30.2 28.3 +1.9 77
11 Albacete 41 35.2 33.7 +1.5 59
12 Sporting Gijon 41 30.8 29.4 +1.4 58
13 Almeria 41 32.7 31.4 +1.3 71
14 Zaragoza 41 30.6 30.5 +0.1 36
15 Leganes 41 34.1 35.4 -1.3 43
16 FC Andorra 41 31.8 33.5 -1.7 58
17 Huesca 41 27.3 29.6 -2.3 37
18 Real Sociedad II 41 30.7 38.6 -7.9 46
19 AD Ceuta FC 41 35.3 44.9 -9.6 58
20 Mirandes 41 28.2 38.8 -10.6 40
21 Cadiz 41 26.9 39.4 -12.5 43
22 Cultural Leonesa 41 29.1 42.3 -13.2 36
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