Scotland
Celtic
Livingston
1
1
65%
(1.14)
X
21%
(8.17)
2
14%
(15.17)
1X
86%
(1.02)
X2
35%
(5.35)
12
79%
(1.07)
Portugal
Nacional
Sporting CP
2
1
15%
(9.57)
X
18%
(5.84)
2
68%
(1.26)
1X
33%
(3.7)
X2
85%
(1.05)
12
82%
(1.13)
Portugal
Benfica
Tondela
1
1
58%
(1.16)
X
27%
(7.38)
2
15%
(16.42)
1X
85%
(1.02)
X2
42%
(5.05)
12
74%
(1.09)
Nicaragua
Club Sport Sebaco
Diriangen
2
1
16%
(5)
X
17%
(4.16)
2
67%
(1.56)
1X
33%
(2.24)
X2
84%
(1.14)
12
83%
(1.19)
Peru
Sporting Cristal
Universidad de Cajamarca
1
1
57%
(1.18)
X
27%
(6.44)
2
16%
(12.83)
1X
84%
(1.03)
X2
43%
(4.41)
12
73%
(1.1)
Mexico
Tepatitlan
Dorados de Sinaloa
1
1
58%
(1.42)
X
26%
(4.3)
2
16%
(5.92)
1X
84%
(1.1)
X2
42%
(2.61)
12
74%
(1.18)
Czech Republic
Slavia Prague
FK Pardubice
1
1
54%
(1.09)
X
30%
(10.22)
2
16%
(22.5)
1X
84%
(1.02)
X2
46%
(7.31)
12
70%
(1.05)
Netherlands
PSV Eindhoven
FC Groningen
1
1
60%
(1.16)
X
24%
(8.1)
2
16%
(14.25)
1X
84%
(1.03)
X2
40%
(4.92)
12
76%
(1.07)
Croatia
Dinamo Zagreb
Istra 1961 Pula
1
1
54%
(1.33)
X
30%
(4.81)
2
16%
(7.83)
1X
84%
(1.07)
X2
46%
(3.08)
12
70%
(1.15)
Latvia
BFC Daugavpils
Metta Riga
1
1
56%
(1.64)
X
28%
(3.75)
2
16%
(4.35)
1X
84%
(1.16)
X2
44%
(2.05)
12
72%
(1.21)
Uruguay
Nacional Montevideo
Boston River
1
1
56%
(1.57)
X
27%
(3.83)
2
17%
(5.38)
1X
84%
(1.13)
X2
44%
(2.27)
12
73%
(1.23)
Cyprus
Aris Limassol
Apollon Limassol
1
1
54%
(1.63)
X
30%
(3.72)
2
17%
(4.77)
1X
84%
(1.15)
X2
46%
(2.12)
12
70%
(1.25)
Russia
Dinamo Moskva
Pari Nizhny Novgorod
1
1
56%
(1.47)
X
27%
(4.74)
2
17%
(7.15)
1X
83%
(1.11)
X2
44%
(2.77)
12
73%
(1.2)
Spain
Atletico Madrid
Elche
1
1
53%
(1.25)
X
30%
(5.88)
2
17%
(13.67)
1X
83%
(1.03)
X2
47%
(3.94)
12
70%
(1.14)
Bosnia and Herzegovina
Borac Banja Luka
FK Sarajevo
1
1
54%
(1.57)
X
29%
(3.98)
2
17%
(5.58)
1X
83%
(1.08)
X2
46%
(3.3)
12
71%
(1.16)
Kazakhstan
Tobol Kostanay
Turan Turkistan
1
1
57%
(1.17)
X
26%
(6)
2
17%
(14.4)
1X
83%
(1.01)
X2
43%
(3.85)
12
74%
(1.1)
Slovenia
NK Maribor
NK Radomlje
1
1
58%
(1.4)
X
25%
(4.54)
2
17%
(6.07)
1X
83%
(1.08)
X2
42%
(2.65)
12
75%
(1.17)
Malta
Tarxien Rainbows
Floriana
2
1
17%
(5.63)
X
20%
(3.85)
2
64%
(1.51)
1X
37%
(2.27)
X2
83%
(1.08)
12
81%
(1.18)
Italy
Milan
Cremonese
1
1
51%
(1.35)
X
32%
(5.15)
2
17%
(8.65)
1X
83%
(1.06)
X2
49%
(3.19)
12
69%
(1.15)
Canada
Vancouver FC
Forge FC
2
1
17%
(5.57)
X
20%
(4.08)
2
62%
(1.46)
1X
38%
(2.45)
X2
83%
(1.1)
12
80%
(1.17)
Bolivia
The Strongest La Paz
Gualberto Villarroel San Jose
1
1
60%
(1.37)
X
22%
(5.03)
2
17%
(5.99)
1X
83%
(1.1)
X2
40%
(2.82)
12
78%
(1.14)
Argentina
Estudiantes Buenos Aires
Talleres Remedios de Escalada
1
1
46%
(1.59)
X
37%
(3.28)
2
17%
(6.55)
1X
83%
(1.09)
X2
54%
(2.22)
12
63%
(1.28)
Czech Republic
Viktoria Plzen
Karvina
1
1
54%
(1.21)
X
29%
(6.31)
2
18%
(11.02)
1X
82%
(1.04)
X2
46%
(4.14)
12
71%
(1.11)
Spain
Levante
Barcelona
2
1
18%
(10.8)
X
20%
(6.52)
2
62%
(1.25)
1X
38%
(3.9)
X2
82%
(1.04)
12
80%
(1.11)
Kazakhstan
Yelimay Semey
Kyzylzhar Petropavl
1
1
51%
(1.49)
X
32%
(3.96)
2
18%
(5.97)
1X
82%
(1.11)
X2
50%
(2.27)
12
68%
(1.21)
Scotland
Hearts
Motherwell
1
1
55%
(1.59)
X
27%
(4.01)
2
18%
(5.33)
1X
82%
(1.14)
X2
45%
(2.3)
12
73%
(1.23)
Guatemala
Antigua GFC
Deportivo Mixco
1
1
52%
(1.77)
X
30%
(3.36)
2
18%
(4)
1X
82%
(1.2)
X2
48%
(1.88)
12
70%
(1.26)
Slovenia
FC Koper
NS Mura
1
1
54%
(1.53)
X
28%
(4.14)
2
18%
(4.93)
1X
82%
(1.12)
X2
46%
(2.33)
12
72%
(1.19)
Greece
Olympiacos Piraeus
Asteras Tripolis
1
1
53%
(1.21)
X
29%
(5.93)
2
18%
(13.42)
1X
82%
(1.03)
X2
47%
(4.23)
12
71%
(1.12)
Bulgaria
Cherno more Varna
Lokomotiv Plovdiv
1
1
49%
(1.57)
X
33%
(3.7)
2
18%
(5.9)
1X
82%
(1.11)
X2
51%
(2.31)
12
68%
(1.25)
Northern Ireland
Linfield
Cliftonville
1
1
51%
(1.76)
X
31%
(3.66)
2
18%
(4.01)
1X
82%
(1.19)
X2
49%
(1.94)
12
69%
(1.23)
Faroe Islands
07 Vestur
TB Tvoroyri
1
1
57%
(1.57)
X
25%
(4.31)
2
18%
(4.45)
1X
82%
(1.18)
X2
43%
(2.12)
12
75%
(1.17)
Belarus
FC Smorgon
Dinamo Brest
2
1
18%
(8.75)
X
23%
(4.4)
2
59%
(1.37)
1X
41%
(2.92)
X2
82%
(1.05)
12
77%
(1.19)
Mexico
Leones Negros UdeG
Tapatio
1
1
50%
(1.73)
X
31%
(3.65)
2
18%
(3.99)
1X
82%
(1.2)
X2
50%
(1.98)
12
69%
(1.24)
Bulgaria
Lokomotiv Gorna Oryahovitsa
Chernomorets Burgas
1
1
45%
(1.71)
X
36%
(3.31)
2
18%
(4.38)
1X
82%
(1.16)
X2
55%
(1.94)
12
64%
(1.24)
Colombia
Independiente Medellin
La Equidad Bogota
1
1
50%
(1.45)
X
32%
(4.06)
2
18%
(7.1)
1X
82%
(1.09)
X2
51%
(2.6)
12
68%
(1.21)
Bosnia and Herzegovina
Posusje
Rudar Prijedor
1
1
49%
(1.55)
X
32%
(3.56)
2
18%
(5.72)
1X
82%
(1.1)
X2
51%
(2.25)
12
68%
(1.24)
Estonia
Narva Trans
JK Tallinna Kalev
1
1
58%
(1.35)
X
24%
(4.73)
2
19%
(6.35)
1X
82%
(1.07)
X2
42%
(2.86)
12
76%
(1.15)
Uzbekistan
Surkhon Termez
Nasaf Qarshi
2
1
19%
(4.8)
X
23%
(3.28)
2
58%
(1.73)
1X
42%
(1.96)
X2
81%
(1.15)
12
77%
(1.29)
Greece
Aris Thessaloniki
Volos FC
1
1
51%
(1.69)
X
31%
(3.76)
2
19%
(4.68)
1X
81%
(1.17)
X2
50%
(2.13)
12
69%
(1.25)
Guatemala
Deportivo Guastatoya
Deportivo Mictlan
1
1
48%
(1.67)
X
33%
(3.34)
2
19%
(4.78)
1X
81%
(1.13)
X2
52%
(2)
12
67%
(1.26)
Japan
Jubilo Iwata
Kataller Toyama
1
1
51%
(1.69)
X
31%
(3.67)
2
19%
(4.34)
1X
81%
(1.18)
X2
49%
(2.05)
12
69%
(1.23)
Bulgaria
Spartak Pleven
Pirin Blagoevgrad
2
1
19%
(6.33)
X
26%
(3.73)
2
55%
(1.45)
1X
45%
(2.38)
X2
81%
(1.07)
12
74%
(1.2)
Mexico
Venados
Atletico La Paz
1
1
55%
(1.53)
X
27%
(4.27)
2
19%
(4.67)
1X
81%
(1.15)
X2
45%
(2.3)
12
73%
(1.18)
England
West Bromwich
Portsmouth
1
1
48%
(1.78)
X
33%
(3.64)
2
19%
(4.38)
1X
81%
(1.19)
X2
52%
(1.98)
12
67%
(1.27)
France
Guingamp
Red Star Paris
1
1
47%
(1.79)
X
34%
(3.62)
2
19%
(4.21)
1X
81%
(1.21)
X2
53%
(1.98)
12
66%
(1.28)
Brazil
Cruzeiro MG
Internacional RS
1
1
47%
(1.75)
X
34%
(3.46)
2
19%
(5.04)
1X
81%
(1.15)
X2
53%
(2.02)
12
66%
(1.29)
Germany
Heidenheim
Wolfsburg
2
1
19%
(3.14)
X
21%
(3.57)
2
60%
(2.24)
1X
40%
(1.64)
X2
81%
(1.36)
12
79%
(1.29)
Bosnia and Herzegovina
Zeljeznicar Sarajevo
Zrinjski Mostar
2
1
19%
(4.27)
X
26%
(3.18)
2
55%
(1.81)
1X
46%
(2.2)
X2
81%
(1.14)
12
74%
(1.32)
Russia
Lokomotiv Moskva
FK Rostov
1
1
48%
(1.81)
X
33%
(3.9)
2
19%
(4.44)
1X
81%
(1.22)
X2
52%
(2.06)
12
67%
(1.28)
Italy
Torres
Pontedera
1
1
46%
(1.64)
X
35%
(3.37)
2
19%
(4.92)
1X
81%
(1.13)
X2
54%
(2.07)
12
65%
(1.24)
Brazil
Goias GO
America MG
1
1
47%
(1.84)
X
34%
(3.21)
2
19%
(4.55)
1X
81%
(1.18)
X2
54%
(1.89)
12
66%
(1.31)
France
Lyonnais
Metz
1
1
52%
(1.41)
X
29%
(5.03)
2
19%
(7.17)
1X
81%
(1.09)
X2
48%
(2.86)
12
71%
(1.16)
China
Qingdao Hainiu
Shanghai Shenhua
2
1
20%
(7)
X
23%
(4.67)
2
57%
(1.4)
1X
43%
(2.79)
X2
80%
(1.08)
12
77%
(1.17)
Iceland
Keflavik IF
Volsungur Husavik
1
1
57%
(1.3)
X
24%
(5.5)
2
20%
(6.63)
1X
80%
(1.07)
X2
43%
(3.16)
12
76%
(1.11)
Denmark
B.93 Copenhagen
Kolding
2
1
20%
(3.59)
X
22%
(3.69)
2
58%
(1.88)
1X
42%
(1.85)
X2
80%
(1.25)
12
78%
(1.25)
Serbia
OFK Belgrade
Mladost Lucani
1
1
46%
(1.7)
X
34%
(3.6)
2
20%
(4.65)
1X
80%
(1.14)
X2
54%
(2.02)
12
66%
(1.24)
Norway
Raufoss IL
Lillestrom
2
1
20%
(7.63)
X
24%
(5.07)
2
57%
(1.31)
1X
44%
(3.19)
X2
80%
(1.07)
12
76%
(1.14)
Estonia
Tartu Tammeka
Paide Linnameeskond
2
1
20%
(11.2)
X
21%
(5.62)
2
59%
(1.2)
1X
41%
(3.54)
X2
80%
(1.04)
12
79%
(1.12)
Austria
Red Bull Salzburg
LASK Linz
1
1
52%
(1.59)
X
28%
(4.24)
2
20%
(5.03)
1X
80%
(1.15)
X2
48%
(2.3)
12
72%
(1.2)
Bosnia and Herzegovina
Radnik Bijeljina
Velez Mostar
2
1
20%
(2.86)
X
26%
(3.26)
2
54%
(2.22)
1X
46%
(1.57)
X2
80%
(1.34)
12
74%
(1.29)
UAE
Al Dhafra Club
Al-Wasl Dubai
2
1
20%
(7.2)
X
21%
(4.59)
2
59%
(1.34)
1X
41%
(2.93)
X2
80%
(1.06)
12
79%
(1.14)
Sweden
Ariana
Oskarshamns AIK
1
1
52%
(1.51)
X
28%
(4.08)
2
20%
(5.04)
1X
80%
(1.12)
X2
48%
(2.28)
12
72%
(1.18)
Georgia
Iberia 1999 Tbilisi
Dinamo Batumi
1
1
52%
(1.56)
X
28%
(3.73)
2
20%
(5.14)
1X
80%
(1.12)
X2
49%
(2.2)
12
72%
(1.21)
Thailand
BG Pathum United
Lamphun Warriors
1
1
50%
(1.64)
X
30%
(3.74)
2
20%
(4.38)
1X
80%
(1.15)
X2
50%
(2.01)
12
70%
(1.2)
Finland
RoPS Rovaniemi
KuPS Akatemia
1
1
53%
(1.7)
X
27%
(4.24)
2
20%
(3.59)
1X
80%
(1.25)
X2
47%
(1.98)
12
73%
(1.17)
England
Harrogate Town
Chesterfield
2
1
20%
(4.18)
X
23%
(3.6)
2
57%
(1.8)
1X
43%
(1.93)
X2
80%
(1.2)
12
77%
(1.26)
Scotland
Greenock Morton
Ayr United
2
1
20%
(3.23)
X
24%
(3.23)
2
56%
(2.11)
1X
44%
(1.64)
X2
80%
(1.3)
12
77%
(1.3)
France
Nice
Auxerre
1
1
50%
(1.65)
X
29%
(4.19)
2
20%
(5.04)
1X
80%
(1.16)
X2
50%
(2.2)
12
71%
(1.22)
England
Peterborough
Bradford
2
1
20%
(3.36)
X
23%
(3.61)
2
56%
(2.02)
1X
44%
(1.73)
X2
80%
(1.3)
12
77%
(1.27)
Brazil
Coritiba PR
Remo PA
1
1
44%
(1.71)
X
36%
(3.34)
2
20%
(5.24)
1X
80%
(1.14)
X2
56%
(2.06)
12
64%
(1.29)
Argentina
Club Atletico Atlanta
Ferro Carril Oeste
1
1
42%
(1.82)
X
37%
(3.07)
2
21%
(4.77)
1X
79%
(1.15)
X2
58%
(1.92)
12
63%
(1.34)
Germany
Bayer Leverkusen
Hoffenheim
1
1
51%
(1.53)
X
28%
(4.72)
2
21%
(5.64)
1X
79%
(1.15)
X2
49%
(2.5)
12
72%
(1.18)
Germany
Eintracht Frankfurt
Werder Bremen
1
1
49%
(1.72)
X
31%
(4.1)
2
21%
(4.57)
1X
79%
(1.19)
X2
51%
(2.1)
12
69%
(1.23)
Iceland
Throttur Reykjavik
Selfoss
1
1
56%
(1.5)
X
23%
(4.43)
2
21%
(4.74)
1X
79%
(1.13)
X2
44%
(2.32)
12
77%
(1.14)
Italy
Sassuolo
Napoli
2
1
21%
(6.06)
X
22%
(4.02)
2
57%
(1.58)
1X
43%
(2.37)
X2
79%
(1.11)
12
78%
(1.23)
Austria
Austria Klagenfurt
Schwarz-Weiss Bregenz
1
1
51%
(1.7)
X
28%
(3.65)
2
21%
(4.25)
1X
79%
(1.19)
X2
49%
(2)
12
72%
(1.23)
Sweden
Orgryte
Brage
1
1
45%
(1.54)
X
34%
(4.28)
2
21%
(4.83)
1X
79%
(1.16)
X2
55%
(2.32)
12
66%
(1.2)
England
Southampton
Stoke
1
1
49%
(1.73)
X
30%
(3.78)
2
21%
(4.56)
1X
79%
(1.17)
X2
51%
(2.05)
12
70%
(1.24)
England
Wycombe
Reading
1
1
41%
(1.81)
X
38%
(3.55)
2
21%
(4.23)
1X
79%
(1.19)
X2
59%
(1.93)
12
62%
(1.27)
England
Stockport
Burton Albion
1
1
44%
(1.52)
X
35%
(4.12)
2
21%
(5.89)
1X
79%
(1.11)
X2
56%
(2.41)
12
65%
(1.21)
Japan
Yokohama F. Marinos
Machida Zelvia
2
1
23%
(3.24)
X
21%
(3.47)
2
55%
(2.11)
1X
45%
(1.7)
X2
77%
(1.32)
12
79%
(1.29)
England
Brentford
Aston Villa
2
1
21%
(3.17)
X
23%
(3.54)
2
56%
(2.23)
1X
44%
(1.64)
X2
79%
(1.34)
12
77%
(1.29)
Israel
Hapoel Petah Tikva
Maccabi Tel Aviv
2
1
22%
(7.97)
X
24%
(5.13)
2
55%
(1.31)
1X
45%
(3.15)
X2
79%
(1.07)
12
76%
(1.14)
England
Bolton
Lincoln
1
1
45%
(1.72)
X
33%
(3.62)
2
22%
(4.71)
1X
79%
(1.17)
X2
55%
(2.05)
12
67%
(1.26)
Sweden
United IK Nordic
IFK Stocksund
1
1
50%
(1.3)
X
28%
(5)
2
22%
(7.67)
1X
79%
(1.05)
X2
50%
(3.04)
12
72%
(1.12)
Russia
Rubin Kazan
Spartak Moskva
2
1
22%
(3.44)
X
24%
(3.62)
2
54%
(2.13)
1X
46%
(1.73)
X2
78%
(1.33)
12
76%
(1.3)
Slovakia
DAC Dunajska Streda
AS Trencin
1
1
48%
(1.37)
X
31%
(4.56)
2
22%
(7.04)
1X
78%
(1.07)
X2
53%
(2.86)
12
69%
(1.16)
Belarus
Arsenal Dzerzhinsk
Torpedo-BelAZ Zhodino
2
1
22%
(5.83)
X
24%
(3.88)
2
54%
(1.56)
1X
46%
(2.36)
X2
78%
(1.11)
12
76%
(1.23)
Germany
Paderborn
Fortuna Dusseldorf
1
1
48%
(1.78)
X
31%
(3.83)
2
22%
(4.2)
1X
78%
(1.21)
X2
52%
(1.98)
12
69%
(1.24)
England
Coventry
Queens Park Rangers
1
1
43%
(1.55)
X
35%
(4.11)
2
22%
(5.79)
1X
78%
(1.12)
X2
57%
(2.4)
12
65%
(1.21)
England
Arsenal
Leeds
1
1
48%
(1.28)
X
30%
(6.04)
2
22%
(10.48)
1X
78%
(1.05)
X2
52%
(3.74)
12
70%
(1.13)
Germany
Union Berlin
Stuttgart
2
1
22%
(3.37)
X
25%
(3.67)
2
53%
(2.09)
1X
47%
(1.72)
X2
78%
(1.31)
12
75%
(1.28)
Spain
Real Zaragoza
FC Andorra
1
1
42%
(1.79)
X
37%
(3.47)
2
22%
(4.28)
1X
78%
(1.19)
X2
58%
(1.95)
12
63%
(1.28)
Northern Ireland
Glenavon
Coleraine
2
1
22%
(3.93)
X
24%
(3.51)
2
54%
(1.79)
1X
46%
(1.89)
X2
78%
(1.2)
12
76%
(1.24)
Israel
Maccabi Haifa
Maccabi Bnei Reineh
1
1
45%
(1.64)
X
33%
(3.81)
2
22%
(4.62)
1X
78%
(1.16)
X2
55%
(2.15)
12
67%
(1.24)
Iceland
Grindavik
Fylkir Reykjavik
2
1
23%
(4.09)
X
22%
(4.19)
2
55%
(1.61)
1X
45%
(2.11)
X2
77%
(1.17)
12
78%
(1.16)
Northern Ireland
Crusaders
Glentoran
2
1
22%
(3.09)
X
24%
(3.42)
2
54%
(2.07)
1X
46%
(1.66)
X2
78%
(1.31)
12
76%
(1.26)
England
Hartlepool
Woking
1
1
45%
(1.7)
X
33%
(3.65)
2
22%
(4.19)
1X
78%
(1.19)
X2
55%
(2)
12
67%
(1.24)
Czech Republic
Teplice
Jablonec
2
1
23%
(3.26)
X
29%
(3.42)
2
49%
(2.11)
1X
51%
(1.69)
X2
77%
(1.32)
12
72%
(1.29)
Germany
Sankt Pauli
Borussia Dortmund
2
1
23%
(4.62)
X
23%
(3.96)
2
54%
(1.74)
1X
46%
(2.06)
X2
77%
(1.19)
12
77%
(1.24)
England
Birmingham
Oxford United
1
1
44%
(1.45)
X
33%
(4.37)
2
23%
(6.93)
1X
77%
(1.09)
X2
56%
(2.67)
12
67%
(1.19)
England
Charlton
Leicester
2
1
23%
(3.32)
X
25%
(3.3)
2
52%
(2.18)
1X
48%
(1.64)
X2
77%
(1.3)
12
75%
(1.32)
Denmark
FC Copenhagen
Odense
1
1
45%
(1.4)
X
32%
(4.86)
2
23%
(6.88)
1X
77%
(1.09)
X2
55%
(2.84)
12
68%
(1.17)
South Korea
Jeonnam Dragons
Ansan Greeners
1
1
45%
(1.7)
X
32%
(3.54)
2
23%
(4.36)
1X
77%
(1.17)
X2
55%
(2.01)
12
68%
(1.24)
Mexico
Mazatlan
Tigres UANL
2
1
23%
(4.38)
X
27%
(3.56)
2
50%
(1.79)
1X
50%
(1.94)
X2
77%
(1.19)
12
73%
(1.26)
Vietnam
Song Lam Nghe An
Nam Dinh FC
2
1
23%
(5)
X
26%
(3.15)
2
51%
(1.66)
1X
49%
(2.05)
X2
77%
(1.12)
12
75%
(1.3)
Norway
Strindheim
Alta
2
1
24%
(2.93)
X
23%
(3.79)
2
53%
(2.04)
1X
47%
(1.65)
X2
76%
(1.31)
12
77%
(1.19)
England
Manchester City
Tottenham
1
1
47%
(1.49)
X
30%
(4.69)
2
24%
(6.13)
1X
77%
(1.12)
X2
53%
(2.62)
12
70%
(1.18)
Serbia
Vojvodina Novi Sad
TSC Backa Topola
1
1
42%
(1.73)
X
35%
(3.75)
2
24%
(4.21)
1X
76%
(1.17)
X2
58%
(1.97)
12
65%
(1.21)
England
Newport County
Milton Keynes Dons
2
1
24%
(4.89)
X
25%
(3.9)
2
51%
(1.64)
1X
49%
(2.14)
X2
76%
(1.16)
12
75%
(1.22)
UAE
Dibba Al Fujairah
Al-Ain FC
2
1
24%
(7.75)
X
25%
(4.84)
2
52%
(1.3)
1X
48%
(3.21)
X2
76%
(1.05)
12
75%
(1.13)
Portugal
Moreirense
Vitoria Guimaraes
2
1
25%
(3.38)
X
24%
(3.19)
2
52%
(2.2)
1X
49%
(1.64)
X2
75%
(1.29)
12
76%
(1.34)
Italy
Palermo
Reggiana 1919
1
1
46%
(1.76)
X
30%
(3.61)
2
24%
(4.49)
1X
76%
(1.19)
X2
54%
(2)
12
70%
(1.27)
England
Preston
Ipswich
2
1
24%
(3.68)
X
25%
(3.38)
2
51%
(2.04)
1X
49%
(1.73)
X2
76%
(1.26)
12
75%
(1.31)
Germany
Stuttgart II
Verl
2
1
24%
(2.97)
X
29%
(3.43)
2
48%
(2.19)
1X
53%
(1.61)
X2
76%
(1.36)
12
71%
(1.27)
England
Bournemouth
Wolverhampton
1
1
44%
(1.81)
X
32%
(3.88)
2
24%
(4.3)
1X
76%
(1.21)
X2
56%
(1.98)
12
68%
(1.25)
Japan
Albirex Niigata
Kashima Antlers
2
1
26%
(3.36)
X
25%
(3.36)
2
49%
(2.11)
1X
51%
(1.69)
X2
74%
(1.3)
12
76%
(1.31)
Qatar
Al-Duhail SC Doha
Al-Wakrah SC
1
1
46%
(1.59)
X
29%
(3.99)
2
25%
(4.57)
1X
75%
(1.15)
X2
54%
(2.18)
12
71%
(1.2)
Scotland
Stranraer
Clyde
2
1
28%
(3.54)
X
30%
(3.19)
2
43%
(2)
1X
58%
(1.7)
X2
72%
(1.24)
12
71%
(1.29)
Football 1×2 Betting Guide
Tomorrow’s football 1×2 predictions are provided by a team of pro bettors, drawing from years of placing bets on football matches across leagues like the Premier League, La Liga, and the Bundesliga. As someone who’s turned a hobby into a sharp skill set, I know that winning at 1×2 betting is not always easy. While we provide the stepping stones, winning consistency is a long term play.
If you’re new to this or just need a refresher, understanding 1×2 is key to everything else. In simple terms, a 1×2 bet is a wager on the outcome of a football match after 90 minutes (plus stoppage time, but not extra time or penalties unless specified). Here’s the breakdown:
Odds are attached to each option, showing the potential payout. 1×2 is the most straightforward bet in football, but it covers a huge range of matches worldwide. To get comfortable, practice with low-stakes bets or paper trading (tracking picks without money). Remember, bookies build in a margin (vig), so odds aren’t pure probability.
Reliable Betting Strategies for 1×2
With research and value in hand, apply strategies to structure your bets. I’ve tested these over seasons and they work when used right. Use this along with tomorrow’s football 1×2 predictions to get winning bets
Analyzing Key Stats for Tomorrow’s Football 1×2 Predictions
Start with goals scored and conceded. Average goals per game help predict if a match will be open or cagey. In Serie A, teams like Juventus often play low-scoring games, boosting draw chances. Calculate averages: If Team A scores 1.8 goals at home and concedes 0.9, while Team B scores 1.2 away and concedes 1.5, expect around 2-3 total goals, leaning toward a home win.
Possession and shots on target reveal control. A team dominating possession (over 60%) usually wins, but watch efficiency. Barcelona under Xavi holds the ball but sometimes fails to convert, leading to surprise draws.Look for trends in results.
Is there a draw streak? Leagues like Ligue 1 see more draws (around 25-30% of games) than the high-octane Premier League (20-25%). Spot patterns: Underdogs drawing against top teams, or mid-table clashes ending level.Advanced metrics like expected goals (xG) are game-changers. xG estimates goals based on shot quality.
If a team’s xG is higher than actual goals, they’re due for a breakout which is great for ‘1’ or ‘2’ bets. For example, in the 2024-25 season (as of early 2025), if Chelsea’s xG suggests they’re underperforming, bet on them to win upcoming home games.Seasonal trends: Early season sees more upsets as teams gel, while late season has motivated sides fighting relegation or titles.
In the Bundesliga, Bayern often starts slow but ramps up.Combine stats: For a hypothetical Arsenal vs. Tottenham match, Arsenal’s 70% home win rate, Tottenham’s poor away form (30% wins), and an average of 2.5 goals point to a ‘1’ with value if odds are fair.