Tercera División RFEF - Group 5
11/02/2026 • 19:30
Finished
Estadi Municipal de Futbol de Vic
Home scorers
- 7' J. Berenguer
Away scorers
- 10' B. Cisse
Match Timeline
2 events
Key Moments
-
7'VicGoalJ. Berenguer
-
10'San CristóbalGoalB. Cisse
7'
Vic
Goal
by J. Berenguer
10'
San Cristóbal
Goal
by B. Cisse
Head to Head Record
0
Vic wins
2
Draws
0
San Cristóbal wins
2 matches
4 total goals
Recent H2H Form
Vic
D
D
San Cristóbal
D
D
Recent H2H Meetings
👥
Competition Stage
Group 5 - 19
Standings
1
Badalona
42
Badalona
2
Manresa
42
Manresa
3
Cornellà
39
Cornellà
4
Vilanova
36
Vilanova
5
L'Escala
36
L'Escala
6
L'Hospitalet
34
L'Hospitalet
7
Peralada
33
Peralada
8
Tona
30
Tona
9
Grama
28
Grama
10
San Cristóbal
27
San Cristóbal
11
Montañesa
26
Montañesa
12
Can Vidalet
25
Can Vidalet
13
Vilassar Mar
24
Vilassar Mar
14
Mollerussa
24
Mollerussa
15
Europa II
21
Europa II
16
Lleida Esportiu
20
Lleida Esportiu
17
Cerdanyola del Vallès
19
Cerdanyola del Vallès
18
Vic
17
Vic
1
Badalona
42
Badalona
W
D
D
2
Manresa
42
Manresa
W
W
L
3
Cornellà
39
Cornellà
W
L
W
4
Vilanova
36
Vilanova
W
D
L
5
L'Escala
36
L'Escala
L
L
W
6
L'Hospitalet
34
L'Hospitalet
W
D
L
7
Peralada
33
Peralada
W
W
D
8
Tona
30
Tona
W
D
W
9
Grama
28
Grama
L
D
L
10
San Cristóbal
27
San Cristóbal
L
L
W
11
Montañesa
26
Montañesa
L
L
D
12
Can Vidalet
25
Can Vidalet
L
W
D
13
Vilassar Mar
24
Vilassar Mar
L
L
D
14
Mollerussa
24
Mollerussa
W
D
W
15
Europa II
21
Europa II
L
W
D
16
Lleida Esportiu
20
Lleida Esportiu
W
D
D
17
Cerdanyola del Vallès
19
Cerdanyola del Vallès
L
D
D
18
Vic
17
Vic
D
L
L
AI Match Predictions
Prediction Reliability
62%
Most Likely Scores
0-0
67.0%
0-1
13.4%
1-0
13.4%
1-1
2.7%
Both Teams To Score
YES
3%
NO
97%
Likely: Clean sheet
Over/Under Goals
Over 2.5
2.5 Goals
Under 2.5
99%
Over 1%
Under 99%
Over 1.5
1.5 Goals
Under 1.5
94%
Over 6%
Under 94%
Over 3.5
3.5 Goals
Under 3.5
100%
Over 0%
Under 100%
ℹ️ Predictions are generated using Poisson distribution models based on recent team form (home/away splits), expected goals, and historical performance. Confidence scores reflect data quality and pattern clarity.