
Sevilla
La Liga
Last updated Jun 6, 2026
Last 18 matches
6W · 4D · 8L
Form (recent → older)
Model accuracy on Sevilla's matches
V1 model
55.6%
n = 18
V3 (Sharp Intelligence)
57.1%
n = 7
Recommended badge appears when one model leads by ≥5 percentage points over a minimum of 10 settled matches. How models work →
Goal patterns
Avg goals scored
1.22
Avg goals conceded
1.50
BTTS
50%
9/18
Over 2.5
50%
9/18
At home (avg scored)
1.38
Away (avg scored)
1.10
Head-to-head — top opponents
vs Real Madrid
·2 meetings
vs Levante
·2 meetings
vs Oviedo
·2 meetings
vs Celta Vigo
·1 meetings
vs Villarreal
·1 meetings
About Sevilla
Updated May 17, 2026
Sevilla has had a mixed performance over the past year, with a record of 5 wins, 4 draws, and 6 losses across 15 matches. The team has scored 19 goals while conceding 23, indicating a slightly negative goal difference. Their recent form shows some inconsistency, with sequences of wins followed by losses, exemplified by their pattern of WWLLWLLDDW. Notably, both teams have scored in 8 out of these 15 games, and the same number of matches have ended with over 2.5 goals, suggesting a tendency towards open and competitive fixtures.
Analyzing model performance, V1 has been the more frequently applied model for Sevilla's matches, showing an accuracy of 53.3% over 15 games. This suggests a moderate level of precision in predicting outcomes. On the other hand, V3, also known as Sharp Intelligence, has been used less frequently, only in 4 matches, but has achieved a higher accuracy of 75.0%. Despite this, V1 remains the recommended model for Sevilla, potentially due to a larger sample size and consistent application.
When examining head-to-head records, Sevilla has had varied outcomes against specific opponents. They have struggled against Levante, losing both encounters. Against Oviedo, they have split results with one win and one loss. Their encounters with Espanyol and Real Sociedad have been more favorable, each resulting in a win. However, they have also faced a setback against Osasuna, losing their only match. These head-to-head statistics highlight potential challenges and advantages in specific matchups, with a notable inclination towards both teams scoring in several of these encounters.
This analysis is based on statistical data and does not constitute a betting recommendation. For further insights, please visit /performance.
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Stats are rolled up from finished matches in the last 365 days.Methodology · Bet responsibly