Statistics / Football / Spain. La Liga / Alaves vs Rayo Vallecano

Alaves vs Rayo Vallecano Statistics & Analysis

Alaves Alaves
May 23, 2026 - 19:00
1 1.36
2 0.96
xG Accuracy: 68%
Rayo Vallecano Rayo Vallecano
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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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Alaves Rayo Vallecano ✖ Incorrect
  • Correct Score Insights 1-0, 1-1, 0-0, 0-1, 2-0 1-2 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: La Liga
  • Fixture: Alaves vs Rayo Vallecano
  • Kickoff: 2026-05-24 16:00:00
  • 1X2 (model): Home 44.4% · Draw 30.8% · Away 24.8%
  • xG (showing): Alaves 1.36 — Rayo Vallecano 0.96 (total xG ≈ 2.32)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 59.1% · Implied: 55.4% · Probability edge: +3.7 pts · Est. EV: +6.4%
  • BTTS (model): Yes 47.5% · No 52.5%
  • Correct score (top bin): 1-0 (13.4%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Best Bet + Reason

Primary angle highlighted on the page: Under 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

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.

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.

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.

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.

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
La Liga La Liga — Standings
# TEAM MP W D L PTS
1 Barcelona 38 31 1 6 94
2 Real Madrid 38 27 5 6 86
3 Villarreal 38 22 6 10 72
4 Atletico Madrid 38 21 6 11 69
5 Real Betis 38 15 15 8 60
6 Celta Vigo 38 14 12 12 54
7 Getafe 38 15 6 17 51
8 Rayo Vallecano 38 12 14 12 50
9 Valencia 38 13 10 15 49
10 Real Sociedad 38 11 13 14 46
11 Espanyol 38 12 10 16 46
12 Athletic Club 38 13 6 19 45
13 Sevilla 38 12 7 19 43
14 Alaves 38 11 10 17 43
15 Elche 38 10 13 15 43
16 Levante 38 11 9 18 42
17 Osasuna 38 11 9 18 42
18 Mallorca 38 11 9 18 42
19 Girona 38 9 14 15 41
20 Oviedo 38 6 11 21 29
# TEAM MP GS GC +/- PTS
1 Barcelona 38 95 36 +59 94
2 Real Madrid 38 77 35 +42 86
3 Villarreal 38 72 46 +26 72
4 Atletico Madrid 38 62 44 +18 69
5 Real Betis 38 59 48 +11 60
6 Real Sociedad 38 59 61 -2 46
7 Celta Vigo 38 53 48 +5 54
8 Elche 38 49 57 -8 43
9 Mallorca 38 47 57 -10 42
10 Levante 38 47 61 -14 42
11 Valencia 38 46 55 -9 49
12 Sevilla 38 46 60 -14 43
13 Osasuna 38 44 50 -6 42
14 Alaves 38 44 56 -12 43
15 Espanyol 38 43 55 -12 46
16 Athletic Club 38 43 58 -15 45
17 Rayo Vallecano 38 41 44 -3 50
18 Girona 38 39 55 -16 41
19 Getafe 38 32 38 -6 51
20 Oviedo 38 26 60 -34 29
# TEAM MP xG xGC +/- PTS
1 Barcelona 38 86.7 45.6 +41.1 94
2 Real Madrid 38 74.8 40.1 +34.7 86
3 Villarreal 38 57.8 45.0 +12.8 72
4 Atletico Madrid 38 58.0 48.5 +9.5 69
5 Real Betis 38 54.7 45.5 +9.2 60
6 Athletic Club 38 49.4 40.5 +8.9 45
7 Valencia 38 49.3 46.3 +3.0 49
8 Rayo Vallecano 38 50.1 48.0 +2.1 50
9 Celta Vigo 38 49.7 49.4 +0.3 54
10 Alaves 38 46.1 47.4 -1.3 43
11 Osasuna 38 45.5 49.1 -3.6 42
12 Espanyol 38 48.4 53.8 -5.4 46
13 Real Sociedad 38 49.0 54.7 -5.7 46
14 Levante 38 51.5 59.3 -7.8 42
15 Girona 38 45.6 55.4 -9.8 41
16 Getafe 38 30.2 40.8 -10.6 51
17 Sevilla 38 38.0 54.0 -16.0 43
18 Mallorca 38 43.1 61.9 -18.8 42
19 Elche 38 40.5 60.1 -19.6 43
20 Oviedo 38 34.3 57.3 -23.0 29
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