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Follo

Follo football statistics on BetBallers: results, upcoming fixtures, league table, squad and team stats from 331 tracked games with 1x2 odds, Asian Handicap win rates and AI predictions.

  • Información de equipos
  • Tablas de clasificación
  • Partidos previos
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Follo Estadísticas

Estadísticas basadas en la última partidos

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Follo Tablas de clasificación

Norway Division 1

  • General
  • Casa
  • Visitante

1. Division 2026

P Equipo W D L Goles PO
1 Stabaek 12 3 3 48:19 39
2 Kongsvinger 12 3 3 48:28 39
3 Haugesund 12 1 5 57:36 37
4 Stromsgodset 10 5 3 47:26 35
5 Hodd 9 3 6 32:32 30
6 Odd BK 8 5 5 35:28 29
7 Egersund 8 2 8 31:32 26
8 Bryne 8 2 8 25:27 26
9 Ranheim 7 2 9 44:45 23
10 Sogndal 6 3 9 32:43 21
11 Sandnes Ulf 6 2 10 26:34 20
12 Lyn 1896 6 2 10 29:38 20
13 Moss 5 3 10 29:41 18
14 Asane 5 2 11 27:40 16
15 Raufoss 5 1 12 22:43 16
16 Strommen 4 3 11 25:45 15

1. Division 2026

P Equipo W D L Goles PO
1 Kongsvinger 7 1 1 27:15 22
2 Stabaek 7 0 1 25:8 21
3 Stromsgodset 6 2 1 23:11 20
4 Haugesund 6 1 1 26:11 19
5 Hodd 6 1 2 19:15 19
6 Egersund 6 1 3 16:13 19
7 Odd BK 5 2 2 20:10 17
8 Ranheim 5 2 3 29:21 17
9 Sogndal 5 1 3 20:16 16
10 Bryne 4 2 3 15:14 14
11 Asane 4 1 4 20:17 13
12 Sandnes Ulf 4 1 4 17:17 13
13 Lyn 1896 4 0 6 18:25 12
14 Raufoss 3 1 5 13:14 10
15 Moss 2 3 3 13:16 9
16 Strommen 2 2 5 10:23 8

1. Division 2026

P Equipo W D L Goles PO
1 Stabaek 5 3 2 23:11 18
2 Haugesund 6 0 4 31:25 18
3 Kongsvinger 5 2 2 21:13 17
4 Stromsgodset 4 3 2 24:15 15
5 Odd BK 3 3 3 15:18 12
6 Bryne 4 0 5 10:13 12
7 Hodd 3 2 4 13:17 11
8 Moss 3 0 7 16:25 9
9 Lyn 1896 2 2 4 11:13 8
10 Egersund 2 1 5 15:19 7
11 Strommen 2 1 6 15:22 7
12 Sandnes Ulf 2 1 6 9:17 7
13 Ranheim 2 0 6 15:24 6
14 Raufoss 2 0 7 9:29 6
15 Sogndal 1 2 6 12:27 5
16 Asane 1 1 7 7:23 4

Norway Division 3 Group 4

  • General
  • Casa
  • Visitante

Group 4

P Equipo W D L Goles PO
1 Madla 9 4 2 39:23 31
2 Vindbjart 9 2 5 40:20 29
3 Flekkerøy 9 2 5 35:27 29
4 Mandalskameratene 8 4 4 40:30 28
5 Viking 2 7 3 5 39:21 24
6 Varhaug 6 5 4 28:23 23
7 Brodd 7 2 7 33:31 23
8 Stabaek 2 6 2 7 35:38 20
9 Staal Jørpeland 5 4 6 30:37 19
10 Haugesund 2 5 3 7 32:37 18
11 Vag FK 5 1 10 21:29 16
12 Odd II 4 4 8 26:39 16
13 Hinna 4 4 8 30:49 16
14 Åkra 4 2 10 21:45 14

Group 4

P Equipo W D L Goles PO
1 Flekkerøy 7 0 1 22:9 21
2 Madla 6 2 0 22:9 20
3 Viking 2 6 1 0 29:5 19
4 Vindbjart 5 2 1 24:9 17
5 Mandalskameratene 5 2 1 18:8 17
6 Stabaek 2 4 1 3 21:16 13
7 Brodd 4 1 3 19:15 13
8 Vag FK 4 0 5 15:16 12
9 Haugesund 2 3 1 3 16:17 10
10 Hinna 2 3 2 14:19 9
11 Staal Jørpeland 2 2 4 15:19 8
12 Odd II 2 2 4 14:20 8
13 Åkra 2 1 4 11:20 7
14 Varhaug 1 3 4 11:16 6

Group 4

P Equipo W D L Goles PO
1 Varhaug 5 2 0 17:7 17
2 Vindbjart 4 0 4 16:11 12
3 Madla 3 2 2 17:14 11
4 Mandalskameratene 3 2 3 22:22 11
5 Staal Jørpeland 3 2 2 15:18 11
6 Brodd 3 1 4 14:16 10
7 Haugesund 2 2 2 4 16:20 8
8 Flekkerøy 2 2 4 13:18 8
9 Odd II 2 2 4 12:19 8
10 Stabaek 2 2 1 4 14:22 7
11 Hinna 2 1 6 16:30 7
12 Åkra 2 1 6 10:25 7
13 Viking 2 1 2 5 10:16 5
14 Vag FK 1 1 5 6:13 4

Norway Division 3 Group 6

  • General
  • Casa
  • Visitante

Group 6

P Equipo W D L Goles PO
1 Lillehammer 12 2 1 56:20 38
2 Elverum 11 1 4 42:23 34
3 Rade IL 10 2 4 60:29 32
4 Gjøvik-Lyn 9 2 5 20:12 29
5 Lyn 1896 II 8 2 5 39:31 26
6 Ørn Horten 7 4 5 27:24 25
7 Oppsal 7 3 6 26:24 24
8 Rælingen 7 3 6 34:40 24
9 Drøbak/Frogn 6 4 6 28:21 22
10 Sandefjord 2 7 1 8 41:35 22
11 Sarpsborg 2 4 3 8 34:36 15
12 Fram 3 3 9 21:34 12
13 Brumunddal 2 2 12 18:72 8
14 Bjørkelangen 1 0 15 11:56 3

Group 6

P Equipo W D L Goles PO
1 Elverum 7 0 1 22:14 21
2 Rade IL 6 1 1 36:13 19
3 Lillehammer 6 1 0 28:8 19
4 Sandefjord 2 5 1 2 25:14 16
5 Ørn Horten 5 1 2 18:13 16
6 Gjøvik-Lyn 5 1 2 9:5 16
7 Rælingen 4 3 1 17:12 15
8 Lyn 1896 II 4 2 2 18:15 14
9 Drøbak/Frogn 4 1 2 18:9 13
10 Oppsal 4 1 4 14:16 13
11 Sarpsborg 2 4 0 3 24:12 12
12 Brumunddal 2 1 6 12:35 7
13 Fram 1 3 3 10:11 6
14 Bjørkelangen 1 0 7 5:24 3

Group 6

P Equipo W D L Goles PO
1 Lillehammer 6 1 1 28:12 19
2 Elverum 4 1 3 20:9 13
3 Rade IL 4 1 3 24:16 13
4 Gjøvik-Lyn 4 1 3 11:7 13
5 Lyn 1896 II 4 0 3 21:16 12
6 Oppsal 3 2 2 12:8 11
7 Drøbak/Frogn 2 3 4 10:12 9
8 Ørn Horten 2 3 3 9:11 9
9 Rælingen 3 0 5 17:28 9
10 Sandefjord 2 2 0 6 16:21 6
11 Fram 2 0 6 11:23 6
12 Sarpsborg 2 0 3 5 10:24 3
13 Brumunddal 0 1 6 6:37 1
14 Bjørkelangen 0 0 8 6:32 0

Norway Division 2 Group 1

  • General
  • Casa
  • Visitante

2. Division 2026, Group 1

P Equipo W D L Goles PO
1 Jerv 11 2 2 32:15 35
2 Brattvåg 10 2 4 32:16 32
3 Mjondalen 10 2 4 30:20 32
4 Kvik Halden FK 9 3 4 28:19 30
5 Notodden 8 3 5 22:14 27
6 Træff 7 4 4 28:23 25
7 Bjarg 8 1 6 26:23 25
8 Sotra 7 3 5 30:15 24
9 Arendal 5 5 6 23:25 20
10 Pors Grenland 5 4 6 17:20 19
11 Sandviken 4 2 9 21:33 14
12 Lysekloster 3 5 8 18:32 14
13 Vidar 1 3 12 14:44 6
14 Eik Tønsberg 1 1 14 17:39 4

2. Division 2026, Group 1

P Equipo W D L Goles PO
1 Mjondalen 6 1 1 18:7 19
2 Jerv 5 1 1 14:6 16
3 Brattvåg 5 0 2 16:9 15
4 Træff 4 2 2 19:13 14
5 Kvik Halden FK 4 1 3 10:6 13
6 Arendal 3 3 2 13:9 12
7 Sotra 3 1 3 17:8 10
8 Bjarg 3 1 4 14:16 10
9 Pors Grenland 2 2 4 7:11 8
10 Notodden 2 2 4 5:9 8
11 Lysekloster 1 3 4 7:12 6
12 Sandviken 2 0 5 12:18 6
13 Vidar 1 2 6 11:24 5
14 Eik Tønsberg 1 1 6 11:16 4

2. Division 2026, Group 1

P Equipo W D L Goles PO
1 Notodden 6 1 1 17:5 19
2 Jerv 6 1 1 18:9 19
3 Brattvåg 5 2 2 16:7 17
4 Kvik Halden FK 5 2 1 18:13 17
5 Bjarg 5 0 2 12:7 15
6 Sotra 4 2 2 13:7 14
7 Mjondalen 4 1 3 12:13 13
8 Pors Grenland 3 2 2 10:9 11
9 Træff 3 2 2 9:10 11
10 Arendal 2 2 4 10:16 8
11 Sandviken 2 2 4 9:15 8
12 Lysekloster 2 2 4 11:20 8
13 Vidar 0 1 6 3:20 1
14 Eik Tønsberg 0 0 8 6:23 0

Norway Division 2 Group 2

  • General
  • Casa
  • Visitante

2. Division 2026, Group 2

P Equipo W D L Goles PO
1 Eidsvold TF 12 2 2 41:14 38
2 Kjelsås 12 1 3 36:21 37
3 Levanger 11 0 5 35:19 33
4 Honefoss 10 2 4 44:24 32
5 Grorud 8 2 5 24:15 26
6 Lørenskog 8 2 6 27:24 26
7 Stjørdals/Blink 7 2 7 29:28 23
8 Tromsdalen 7 2 6 24:27 23
9 Rana FK 6 2 7 27:28 20
10 Junkeren 6 2 8 22:28 20
11 Skeid 4 1 11 22:34 13
12 Ullensaker/Kisa 3 1 12 21:54 10
13 Follo 2 3 10 16:32 9
14 Trygg/Lade 2 2 12 19:39 8

2. Division 2026, Group 2

P Equipo W D L Goles PO
1 Kjelsås 7 0 2 20:12 21
2 Honefoss 6 1 1 23:9 19
3 Eidsvold TF 6 1 1 19:7 19
4 Junkeren 5 1 2 18:11 16
5 Lørenskog 5 0 3 18:14 15
6 Grorud 4 1 2 11:7 13
7 Tromsdalen 4 1 3 13:11 13
8 Levanger 4 0 3 15:8 12
9 Stjørdals/Blink 3 2 3 14:12 11
10 Rana FK 3 1 3 11:10 10
11 Skeid 3 1 4 16:18 10
12 Ullensaker/Kisa 2 1 5 14:21 7
13 Trygg/Lade 1 1 5 10:16 4
14 Follo 1 1 7 10:19 4

2. Division 2026, Group 2

P Equipo W D L Goles PO
1 Levanger 7 0 2 20:11 21
2 Eidsvold TF 6 1 1 22:7 19
3 Kjelsås 5 1 1 16:9 16
4 Honefoss 4 1 3 21:15 13
5 Grorud 4 1 3 13:8 13
6 Stjørdals/Blink 4 0 4 15:16 12
7 Lørenskog 3 2 3 9:10 11
8 Rana FK 3 1 4 16:18 10
9 Tromsdalen 3 1 3 11:16 10
10 Follo 1 2 3 6:13 5
11 Junkeren 1 1 6 4:17 4
12 Trygg/Lade 1 1 7 9:23 4
13 Skeid 1 0 7 6:16 3
14 Ullensaker/Kisa 1 0 7 7:33 3

Norway Division 3 Group 1

  • General
  • Casa
  • Visitante

Group 1

P Equipo W D L Goles PO
1 Asker 14 1 1 55:20 43
2 Gamle Oslo 11 1 4 60:30 34
3 Baerum 10 1 5 56:29 31
4 Heming 9 3 4 35:25 30
5 Valerenga 2 9 1 6 40:47 28
6 IF Ready 7 6 3 38:26 27
7 Frigg 7 5 4 39:31 26
8 FK Union Carl Berner 7 0 9 25:26 21
9 KFUM 2 5 2 9 34:45 17
10 Nordstrand 5 1 10 27:40 16
11 Ullern 4 2 10 29:41 14
12 Lokomotiv Oslo 4 2 10 25:50 14
13 Konnerud 4 0 12 24:46 12
14 Grei 3 1 12 25:56 10

Group 1

P Equipo W D L Goles PO
1 Asker 7 0 1 28:10 21
2 Gamle Oslo 6 1 2 39:18 19
3 Baerum 6 0 2 33:16 18
4 Valerenga 2 6 0 2 20:20 18
5 Heming 5 1 2 16:10 16
6 IF Ready 4 3 1 22:11 15
7 KFUM 2 3 1 4 20:20 10
8 Frigg 2 4 3 19:19 10
9 Konnerud 3 0 4 14:14 9
10 FK Union Carl Berner 3 0 4 8:12 9
11 Lokomotiv Oslo 3 0 4 6:15 9
12 Nordstrand 2 1 5 12:18 7
13 Ullern 2 1 6 16:25 7
14 Grei 2 1 5 19:32 7

Group 1

P Equipo W D L Goles PO
1 Asker 7 1 0 27:10 22
2 Frigg 5 1 1 20:12 16
3 Gamle Oslo 5 0 2 21:12 15
4 Heming 4 2 2 19:15 14
5 Baerum 4 1 3 23:13 13
6 FK Union Carl Berner 4 0 5 17:14 12
7 IF Ready 3 3 2 16:15 12
8 Valerenga 2 3 1 4 20:27 10
9 Nordstrand 3 0 5 15:22 9
10 Ullern 2 1 4 13:16 7
11 KFUM 2 2 1 5 14:25 7
12 Lokomotiv Oslo 1 2 6 19:35 5
13 Grei 1 0 7 6:24 3
14 Konnerud 1 0 8 10:32 3

Norway Division 3 Group 2

  • General
  • Casa
  • Visitante

Group 2

P Equipo W D L Goles PO
1 Volda 10 3 3 40:18 33
2 Melhus 9 5 2 43:21 32
3 Strindheim 9 3 4 41:27 30
4 Herd 8 3 5 40:24 27
5 Rosenborg 2 7 4 5 34:26 25
6 Spjelkavik 6 4 6 31:31 22
7 Molde 2 6 4 6 46:48 22
8 Byåsen 6 4 6 31:34 22
9 Ranheim 2 5 4 7 40:55 19
10 Kvik Trondheim 5 3 7 28:34 18
11 Aalesunds FK 2 5 1 9 27:42 16
12 NTNUI 3 6 7 20:34 15
13 Nardo 4 2 10 29:38 14
14 Orkla 4 2 10 29:47 14

Group 2

P Equipo W D L Goles PO
1 Volda 6 0 2 26:11 18
2 Strindheim 6 0 2 21:12 18
3 Rosenborg 2 5 2 1 24:8 17
4 Melhus 4 3 0 23:9 15
5 Molde 2 4 3 1 31:23 15
6 Ranheim 2 4 3 1 26:19 15
7 Herd 4 2 2 24:10 14
8 Nardo 4 1 3 17:11 13
9 Byåsen 4 1 3 12:12 13
10 Spjelkavik 2 3 3 12:14 9
11 NTNUI 2 3 3 10:14 9
12 Aalesunds FK 2 3 0 4 17:22 9
13 Kvik Trondheim 2 2 4 12:16 8
14 Orkla 2 1 6 16:27 7

Group 2

P Equipo W D L Goles PO
1 Melhus 5 2 2 20:12 17
2 Volda 4 3 1 14:7 15
3 Spjelkavik 4 1 3 19:17 13
4 Herd 4 1 3 16:14 13
5 Strindheim 3 3 2 20:15 12
6 Kvik Trondheim 3 1 3 16:18 10
7 Byåsen 2 3 3 19:22 9
8 Rosenborg 2 2 2 4 10:18 8
9 Orkla 2 1 4 13:20 7
10 Molde 2 2 1 5 15:25 7
11 Aalesunds FK 2 2 1 5 10:20 7
12 NTNUI 1 3 4 10:20 6
13 Ranheim 2 1 1 6 14:36 4
14 Nardo 0 1 7 12:27 1

Follo Próximos partidos

Comienzo del partido Casa Visitante 1x2 Soltar Handicap asiático local actual Linea de gol Corners asiáticos Acciones
26-08 13:00 Rana FK - Follo
0%
-
-
-
 70%10 - 70%10
70% 		1.55 - 1.55
29-08 12:00 Honefoss - Follo
0%
-
-
-
 100%10 - 70%10
85% 		1.45 - 1.55
05-09 11:00 Follo - Tromsdalen
0%
-
-
-
 70%10 - 90%10
80% 		1.55 - 1.70
12-09 10:30 Levanger - Follo
0%
-
-
-
 90%10 - 70%10
80% 		2.05 - 1.55
19-09 12:00 Follo - Eidsvold TF
0%
-
-
-
 70%10 - 100%10
85% 		1.55 - 1.60
26-09 12:00 Kjelsås - Follo
0%
-
-
-
 80%10 - 70%10
75% 		1.55 - 1.55
03-10 12:30 Follo - Stjørdals/Blink
0%
-
-
-
 70%10 - 80%10
75% 		1.55 - 0.90
10-10 12:00 Ullensaker/Kisa - Follo
0%
-
-
-
 70%10 - 70%10
70% 		0.95 - 1.55
17-10 12:00 Grorud - Follo
0%
-
-
-
 70%10 - 70%10
70% 		1.40 - 1.55

Follo Partidos previos

  • Principal (5)

Win rate of last "X" number of games covering the "Asian Handicap"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Todos 0% 0.00

Win rate of last "X" number of games covering the "Goal line"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Todos 0% 0.00

* - Average difference from opening line

Win rate of last "X" number of games covering the "Asian Corners"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Todos 0% 0.00
Show Home (X) Show Away (X) Mostrar las estadísticas de la 1ª mitad
Fecha Casa Puntuación Visitante 1x2 Soltar Inicio Handicap asiático Linea de gol Corners asiáticos Ataques peligrosos Remates totales Remates a portería Corner     
W 22-08-2026 13:00 1 Rade IL 1 - 2 Follo 3
S: - 3.75 ?
K: ?3.75 -
 0%
?
1.975
-
?
-
?-?

11-7

?-?

11-7

Abrir una sola página
L 16-08-2026 11:00 2 1 [12] Follo 1 - 3 Rana FK [10] 1 2
S: - 4.00 ?
K: ?4.33 -
 0%
?
1.975
-
?
-
?-?

8-6

?-?

7-1

Abrir una sola página
L 08-08-2026 11:00 3 [9] Junkeren 4 - 1 Follo [12]
S: - 4.20 ?
K: ?4.75 -
 0%
?
2.000
-
?
?
1.875, 1.925
?-?

26-16

?-?

5-6

Abrir una sola página
L 02-08-2026 12:00 1 1 [12] Follo 1 - 2 Trygg/Lade [14]
S: - 3.90 ?
K: ?4.33 -
 9%
?
1.975
-
?
?
1.850, 1.950
?-?

7-13

?-?

2-10

Abrir una sola página

Últimas notificaciones

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Follo Plantilla

Nr. Nombre País Fecha de nacimiento Posición Altura Peso Pie
- Emil Tjosthim 2002-07-17 - - - -
- Alessandro Angelotti 1989-01-09 - 175 - Left
18 Markus Solvang Ottesen - - - - - -
8 Nicolas Fernando Falck Pena - - - - - -
4 Sanel Ibisevic - - - - - -
13 Ole-Anders Ruden - - - - - -
11 Joachim Nilsen Glosli - - - - - -
9 Ernest Hubert Rzepecki - - - - - -
14 Markus Klepp Kraiem - - - - - -
6 Thomas Torgersen Herskedal - - - - - -
18 Robin Gonella - - - - - -
17 Oyvind Rishaug - - - - - -
11 Almin Hrustic - - - - - -
8 Hans Lauritz Ruud - - - - - -
21 Kristian Seteklev - - - - - -
19 Rasmus Haugsvaer - - - - - -
7 Mats Fredriksen - - - - - -
22 David Hurtado Pampin - - - - - -
26 Stian Johansen With - - - - - -
6 Oscar Halvorsen - - - - - -
14 Ismail Saif Gul - - - - - -
17 Willian Venta Akre 1997-07-28 Forward - - -
13 Sander Ostbye 1998-08-29 Guard - - -
23 Hassan Rahmani 1996-03-15 Midfielder - - -
5 Halvard Simonsen 1986-07-16 Defender - - -
24 Nicolai Grefslie 1996-02-08 Defender - - -
7 Misim Memishi 1993-04-08 Forward - - -
21 Daniel Lorentz Pedersen 1991-10-06 Midfielder - - -
10 Christian Bwamy 1989-11-30 Midfielder - - -
15 Halvor Raddum 1991-08-25 Midfielder - - -

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  • Live Football Scores & In-Play Stats

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Frequently Asked Questions

Everything you need to know about football betting statistics, live scores, and using BetBallers effectively

What statistics and features does BetBallers provide for football betting?

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  • Comeback Factor: Measures how effectively teams recover after falling behind by tracking how often they score the next goal
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  • Quick Match Overviews: Get instant summaries of match situations without manually reviewing all statistics

The AI Assistant helps you make faster, more informed betting decisions by processing complex statistical relationships that would be time-consuming to analyze manually.

What is the Comeback Factor and how can I use it for betting?

The Comeback Factor is a unique BetBallers metric that measures how effectively a team can recover after falling behind in a match:

  • What it measures: Tracks how often a team scores the next goal after the opponent has taken the lead
  • How it works: Every time a team falls behind, the system records whether they manage to score the next goal or not
  • Enhanced accuracy: You can exclude 0-0 games from calculations for more accurate statistics (feature added January 2025)
  • Transparency: Hover over any Comeback Factor stat to see the complete list of games used in the calculation

Use the Comeback Factor to identify teams with strong resilience when trailing, creating valuable in-play betting opportunities when these teams fall behind. The enhanced statistics are available across multiple pages including team profiles and head-to-head comparisons.

How do Likelihood Stats help identify value bets?

Likelihood Stats are one of BetBallers' most powerful features, using an eye-catching color-coding system to show whether current odds are backed by historical statistics:

  • Comprehensive Market Coverage: Covers all possible markets from First Half Overs to Corners and everything in between
  • Color-Coded Indicators: Visual system makes it easy to spot at a glance whether odds represent good value or not
  • Historical Validation: Shows how current match statistics compare to historical performance patterns
  • In-Play Integration: Now includes xG stats directly in the likelihood stats column for even more insights

Combine Likelihood Stats with live statistics to avoid situations where real-time stats aren't backed up by historical performance. This dual approach helps identify genuinely profitable betting opportunities rather than statistical anomalies.

What are Variance Stats and how do they identify mispriced teams?

Variance Stats (also called Error Stats) show the average difference from starting lines, helping you identify mispriced teams in seconds:

  • Asian Handicap Variance: Shows which teams consistently outperform or underperform their handicap lines
  • Goal Line Variance: Identifies teams whose matches regularly go over or under expected totals
  • Asian Corners Variance: Reveals teams that generate more or fewer corners than bookmakers expect
  • Quick Identification: Find the most mispriced teams in your league or competition instantly

Variance Stats help you exploit consistent market inefficiencies by showing which teams the bookmakers systematically misprice across the most popular betting markets.

What is the Pressure Index and how is it calculated?

The Pressure Index is a composite statistic that measures which team is dominating a match by combining multiple attacking metrics:

  • Dangerous Attacks: Genuine scoring opportunities where the attacking team gets into dangerous positions
  • Total Shots: All shot attempts including both on-target and off-target efforts
  • Corners: Corner kicks awarded, indicating sustained attacking pressure
  • Percentage Display: Shows as a percentage (e.g., 66% means one team has twice the combined attacking stats)

Use Pressure Index in custom notifications to identify matches where one team is dominating but hasn't scored yet. For example, a notification for home teams with 66%+ Pressure Index while losing 1-0 achieved a 71% win rate in backtesting across 100,000 games.

What subscription plans does BetBallers offer and what features are included?

BetBallers offers a free trial and multiple subscription tiers to suit different betting needs:

  • Free 2-Day Trial: €4.90 - Test all features with full access for 2 days
  • 1-Month Gold-Baller: €29.99 - Full access to all features including AI Assistant and backtesting system
  • 6-Month Gold-Baller: €149.90 - Extended subscription with significant savings per month

All Gold-Baller subscriptions include:

  • Live scores and in-play statistics for all major leagues
  • Custom notification system with unlimited alerts
  • Backtesting system (100,000 games analysis)
  • AI Assistant for schedule and live match analysis
  • Likelihood Stats with color-coding for all markets
  • Variance Stats for Asian Handicap, Goal Line, and Corners
  • Comeback Factor and Pressure Index statistics
  • xG Stats on match and in-play pages

Note: The 2-day trial does not include access to the backtesting system. Backtesting is only available with 1, 3, or 6-month Gold-Baller subscriptions.

What are xG (Expected Goals) stats and how can I use them for betting?

Expected Goals (xG) is an advanced metric that measures the quality of scoring chances by calculating the probability that a shot will result in a goal:

  • Available on Multiple Pages: View xG stats on both the match page and the in-play page for comprehensive analysis
  • Likelihood Stats Integration: Enable xG display to see these valuable insights directly in the likelihood stats column during live matches
  • Quality vs Quantity: xG reveals whether a team is creating genuine scoring opportunities or just accumulating low-quality shots
  • Value Betting Indicator: When a team has high xG but hasn't scored, it often indicates the score doesn't reflect match dominance

How to use xG for in-play betting:

  • Compare xG to actual score - if Team A has 2.3 xG but is losing 0-1, they may be unlucky and due for goals
  • Look for xG gaps between teams - a 1.5+ xG difference suggests one team is creating significantly better chances
  • Combine with Pressure Index - high xG plus 66%+ Pressure Index confirms genuine dominance
  • Use in notifications - create alerts for matches where xG doesn't match the scoreline for value betting opportunities

xG stats were added to the in-play page in August 2024, making BetBallers one of the few platforms to provide real-time expected goals data during live matches for immediate betting decisions.

How do I create effective custom notifications using BetBallers?

Creating effective custom notifications involves combining different statistics and using the backtesting system to validate profitability:

  • Mix Different Stats: Combine real-time stats, likelihood stats, averages, and odds for more accurate filtering
  • Use Likelihood Validation: Include likelihood stats to ensure real-time performance is backed by historical patterns
  • Test Thoroughly: Run backtests on your notifications to validate profitability across 100,000 historical matches
  • Refine and Iterate: If results are unsatisfactory, tweak your rules and run backtests again until you find winning combinations
  • Filter Results: Use filters to exclude games with incomplete stats or where goals were scored within 2 minutes of notification

Example winning notification:

Home underdog, losing by 1 goal, with 66%+ Pressure Index, current Asian Handicap +0.5 (minimum odds 1.80), and kick-off 1X2 odds under 5.00. This achieved 71% win rate (52 wins from 73 matches).

Fine-tuning takes time, but the backtesting system dramatically speeds up the process by providing instant validation instead of waiting months for real-world results.