Statistics / Football / Spain. La Liga / Real Madrid vs Oviedo

Real Madrid vs Oviedo Statistics & Analysis

May 14, 2026 - 19:30
2 1.76
0 0.88
xG Accuracy: 74%
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Real Madrid Real Madrid ✔ Correct
  • Correct Score Insights 1-0 2-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: La Liga
  • Fixture: Real Madrid vs Oviedo
  • Kickoff: 2026-05-13 16:00:00
  • 1X2 (model): Home 56.8% · Draw 26.2% · Away 17.1%
  • xG (showing): Real Madrid 1.76 — Oviedo 0.88 (total xG ≈ 2.64)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 50.8% · Over 2.5 49.2%); BTTS No (Yes 49.9% · No 50.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 49.9% · No 50.1%
  • Correct score (top bin): 1-0 (12.6%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

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 17, 2026 (UTC)

How to use this
  • When there is no Primary line, compare the +EV rows in the market cards below (not only 1X2).
  • 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 LigaStandings
# TEAM MP W D L PTS
1 Barcelona 36 30 1 5 91
2 Real Madrid 36 25 5 6 80
3 Villarreal 36 21 6 9 69
4 Atletico Madrid 36 20 6 10 66
5 Real Betis 36 14 15 7 57
6 Celta Vigo 36 13 11 12 50
7 Getafe 36 14 6 16 48
8 Real Sociedad 36 11 12 13 45
9 Athletic Club 36 13 5 18 44
10 Rayo Vallecano 36 10 14 12 44
11 Valencia 36 11 10 15 43
12 Sevilla 36 12 7 17 43
13 Osasuna 36 11 9 16 42
14 Espanyol 36 11 9 16 42
15 Girona 36 9 13 14 40
16 Alaves 36 10 10 16 40
17 Elche 36 9 12 15 39
18 Mallorca 36 10 9 17 39
19 Levante 36 10 9 17 39
20 Oviedo 36 6 11 19 29
# TEAM MP GS GC +/- PTS
1 Barcelona 36 91 32 +59 91
2 Real Madrid 36 72 33 +39 80
3 Villarreal 36 67 43 +24 69
4 Atletico Madrid 36 60 39 +21 66
5 Real Betis 36 56 44 +12 57
6 Real Sociedad 36 55 56 -1 45
7 Celta Vigo 36 51 47 +4 50
8 Elche 36 47 56 -9 39
9 Sevilla 36 46 58 -12 43
10 Mallorca 36 44 55 -11 39
11 Levante 36 44 59 -15 39
12 Osasuna 36 43 47 -4 42
13 Alaves 36 42 54 -12 40
14 Athletic Club 36 40 53 -13 44
15 Espanyol 36 40 53 -13 42
16 Valencia 36 39 51 -12 43
17 Girona 36 38 53 -15 40
18 Rayo Vallecano 36 37 43 -6 44
19 Getafe 36 31 37 -6 48
20 Oviedo 36 26 56 -30 29
# TEAM MP xG xGC +/- PTS
1 Barcelona 36 84.0 43.1 +40.9 91
2 Real Madrid 36 71.8 38.5 +33.3 80
3 Villarreal 36 54.3 42.3 +12.0 69
4 Atletico Madrid 36 54.9 43.9 +11.0 66
5 Real Betis 36 52.2 42.1 +10.1 57
6 Athletic Club 36 46.0 38.4 +7.6 44
7 Valencia 36 46.2 43.7 +2.5 43
8 Celta Vigo 36 48.0 46.0 +2.0 50
9 Rayo Vallecano 36 47.2 45.4 +1.8 44
10 Alaves 36 43.0 45.7 -2.7 40
11 Real Sociedad 36 46.4 50.7 -4.3 45
12 Osasuna 36 43.4 48.1 -4.7 42
13 Espanyol 36 45.2 50.8 -5.6 42
14 Getafe 36 29.9 39.8 -9.9 48
15 Levante 36 47.0 57.4 -10.4 39
16 Girona 36 42.8 53.3 -10.5 40
17 Sevilla 36 36.5 51.4 -14.9 43
18 Mallorca 36 40.1 59.4 -19.3 39
19 Oviedo 36 33.7 53.2 -19.5 29
20 Elche 36 39.8 59.4 -19.6 39