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

Cordoba vs Huesca Statistics & Analysis

Cordoba Cordoba
May 31, 2026 - 19:00
1 1.60
1 1.08
xG Accuracy: 83%
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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Cordoba Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-1 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Segunda División
  • Fixture: Cordoba vs Huesca
  • Kickoff: 2026-05-31 16:00:00
  • 1X2 (model): Home 47.9% · Draw 28.0% · Away 24.1%
  • xG (showing): Cordoba 1.6 — Huesca 1.08 (total xG ≈ 2.68)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.9% · Implied: 42.3% · Probability edge: +7.6 pts · Est. EV: +17.8%
  • BTTS (model): Yes 54.2% · No 45.8%
  • Correct score (top bin): 1-1 (11.8%)

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 pick from the decision engine: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

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.

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.

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.

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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