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La Liga
Referee: Isidro Diaz de Mera Escuderos
Cadiz
S T S T T
1–1
Full-time
Mallorca
S U U T T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Cadiz Mallorca
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,8
Over 2.5 Ø 17%
17%
17%
Both score Ø 33%
33%
33%
Average goals
2,2
1,3
Scored
0,8
0,5
Conceded
1,3
0,8
Goal diff per game
-0,5
-0,3
xG created Pro
xG conceded Pro
xG diff Pro
This season — La Liga · 32/32 matches
Win Ø 16%
13%
19%
Points per game
0,8
1,0
Over 2.5 Ø 27%
25%
28%
Both score Ø 43%
41%
44%
Average goals
2,1
2,0
Scored
0,7
0,8
Conceded
1,4
1,2
Goal diff per game
-0,7
-0,4
xG created Pro
xG conceded Pro
xG diff Pro
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–1

0,35 xG 0,94
59% Possession 41%
10 Shots 9
2 Shots on target 2
3 Blocked shots 4
1 Goalkeeper saves 2
3 Corners 1
0 Offside 2
14 Free kicks against 21
3 Yellow cards 2
0 Red cards 0
The table before the match Cadiz 18. · Mallorca 16.
# Team K V U T +/− xG +/− P
1 Real Madrid 33 26 6 1 +49 +31.9 84
2 Girona 33 22 5 6 +29 +13.1 71
3 Barcelona 32 21 7 4 +27 +34.3 70
4 Ath Madrid 33 20 4 9 +23 +19.5 64
5 Ath Bilbao 33 16 10 7 +20 +14.4 58
6 Sociedad 33 13 12 8 +11 +7.4 51
7 Betis 32 12 12 8 +2 -6.1 48
8 Valencia 32 13 8 11 +1 -5.7 47
9 Getafe 33 10 13 10 -4 -8.5 43
10 Villarreal 32 11 9 12 -4 -1.7 42
11 Osasuna 32 11 6 15 -9 -6.2 39
12 Alaves 33 10 8 15 -7 +1.0 38
13 Sevilla 32 9 10 13 -4 -9.0 37
14 Las Palmas 33 10 7 16 -11 -22.7 37
15 Vallecano 32 7 13 12 -12 -4.0 34
16 Mallorca 32 6 13 13 -12 -6.8 31
17 Celta 33 7 10 16 -13 -6.6 31
18 Cadiz 32 4 13 15 -23 -14.6 25
19 Granada 32 3 9 20 -28 -17.4 18
20 Almeria 33 1 11 21 -35 -12.3 14

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Match report

Cadiz Mallorca
12′
Vedat Muriqi 0–1
Martin Valjent
Lucas Pires 🟨
32′
Chris Ramos 🟨
41′
Half-time 0–1
Sergi Guardiola 🔁
↦ Aiham Ousou
46′
Javier Hernández 🔁
↦ Lucas Pires
46′
47′
🟨 Dani Rodríguez
53′
🟨 Omar Mascarell
57′
🔁 Antonio Sánchez
↦ Nemanja Radonjić
0–2 Omar Mascarell
own goal
59′
Maximiliano Gómez 🔁
↦ Juanmi
65′
70′
🔁 Manu Morlanes
↦ Dani Rodríguez
70′
🔁 Sergi Darder
↦ Samuel Costa
Fali 🟨
73′
Darwin Machís 🔁
↦ Robert Navarro
79′
Roger Martí 🔁
↦ Chris Ramos
80′
84′
🔁 Abdón Prats
↦ Vedat Muriqi
84′
🔁 Toni Lato
↦ Pablo Maffeo
Full-time 0–2

Line-ups

Cadiz

4-4-2
1 Jeremías Ledesma G
24 Aiham Ousou D
3 Fali D
5 Víctor Chust D
33 Lucas Pires D
20 Iza Carcelén M
4 Rubén Alcaraz M
8 Álex Fernández M
27 Robert Navarro M
16 Chris Ramos F
9 Juanmi F
Bench (12)
15 Javier Hernández
19 Sergi Guardiola
25 Maximiliano Gómez
18 Darwin Machís
21 Roger Martí
13 David Gil
14 Mamadou Mbaye
2 Joseba Zaldúa
7 Rubén Sobrino
17 Gonzalo Escalante
6 Diadié Samassékou
11 Iván Alejo

Coach: M. Pellegrino

Mallorca

5-4-1
1 Predrag Rajković G
20 Giovanni González D
24 Martin Valjent D
21 Antonio Raíllo D
2 Matija Nastasić D
15 Pablo Maffeo D
14 Dani Rodríguez M
12 Samuel Costa M
5 Omar Mascarell M
23 Nemanja Radonjić M
7 Vedat Muriqi F
Bench (12)
18 Antonio Sánchez
8 Manu Morlanes
10 Sergi Darder
3 Toni Lato
9 Abdón Prats
13 Dominik Greif
25 Iván Cuéllar
11 Jaume Costa
4 Siebe Van Der Heyden
22 Nacho Vidal
19 Javi Llabrés
17 Cyle Larin

Coach: J. Aguirre

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,60
U ✓
2,86
B
3,22
Over/under goals
O1,5 ✓
O2,5
3,04
U2,5 ✓
1,38
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

Isidro Diaz de Mera Escuderos · 29 kamper i vår database

🟨 Yellow cards
4,7 / match
Average
⚽ Free kicks
27,0 / match
Above average

🟥 Red cards: 0,34 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.