Updated on March 1, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Taiwan
Taipower
Ming Chuan University
1
1
77%
(1.43)
X
14%
(4.21)
2
9%
(5.54)
1X
91%
(1.11)
X2
23%
(2.51)
12
86%
(1.17)
Tunisia
CS Sfaxien Sfax
AS Gabes
1
1
61%
(1.2)
X
30%
(4.98)
2
10%
(14.4)
1X
90%
(1.03)
X2
39%
(3.63)
12
71%
(1.12)
Andorra
Inter Club d'Escaldes
Penya Encarnada
1
1
66%
(1.16)
X
23%
(5.77)
2
12%
(14.07)
1X
88%
(1.02)
X2
34%
(3.98)
12
78%
(1.06)
Tunisia
Club Africain Tunis
ES Metlaoui
1
1
58%
(1.23)
X
30%
(4.7)
2
12%
(12.64)
1X
88%
(1.03)
X2
42%
(3.42)
12
70%
(1.14)
Bulgaria
Levski Sofia
Lokomotiv Sofia
1
1
67%
(1.3)
X
21%
(4.82)
2
12%
(9.33)
1X
88%
(1.05)
X2
33%
(3.21)
12
79%
(1.15)
Argentina
Estudiantes Buenos Aires
Almirante Brown
1
1
53%
(1.71)
X
35%
(3.03)
2
13%
(5.48)
1X
88%
(1.12)
X2
48%
(1.99)
12
65%
(1.3)
Greece
PAOK Thessaloniki
Asteras Tripolis
1
1
62%
(1.23)
X
25%
(5.6)
2
13%
(11.67)
1X
87%
(1.03)
X2
38%
(3.92)
12
75%
(1.12)
Thailand
BG Pathum United
Sukhothai FC
1
1
62%
(1.31)
X
24%
(4.64)
2
14%
(7.73)
1X
86%
(1.05)
X2
38%
(2.99)
12
76%
(1.13)
Russia
Dinamo Moskva
Krylya Sovetov Samara
1
1
60%
(1.44)
X
26%
(4.95)
2
14%
(7.18)
1X
86%
(1.11)
X2
40%
(2.87)
12
75%
(1.18)
Malaysia
Immigration FC
Kuching City
2
1
14%
(4.48)
X
14%
(3.84)
2
72%
(1.59)
1X
28%
(2.15)
X2
86%
(1.15)
12
86%
(1.2)
Montenegro
Bokelj Kotor
Jedinstvo Bijelo Polje
1
1
54%
(1.76)
X
32%
(3.07)
2
14%
(4.48)
1X
86%
(1.16)
X2
46%
(1.89)
12
68%
(1.29)
Spain
Ibiza
Tarazona
1
1
45%
(1.57)
X
41%
(3.43)
2
14%
(5.56)
1X
86%
(1.11)
X2
55%
(2.22)
12
60%
(1.23)
San Marino
SP Cailungo
FC Domagnano
2
1
15%
(7.83)
X
16%
(4.65)
2
70%
(1.3)
1X
30%
(3.01)
X2
86%
(1.04)
12
84%
(1.13)
Cyprus
AEK Larnaca
Olympiakos Nicosia
1
1
55%
(1.27)
X
30%
(4.95)
2
15%
(8.62)
1X
85%
(1.04)
X2
45%
(3.22)
12
70%
(1.13)
San Marino
AC Libertas
SS Folgore Falciano
2
1
15%
(9.17)
X
16%
(4.8)
2
69%
(1.26)
1X
31%
(3.21)
X2
85%
(1.04)
12
84%
(1.13)
Uzbekistan
Nasaf Qarshi
Xorazm Urganch
1
1
60%
(1.56)
X
25%
(3.75)
2
15%
(5.15)
1X
85%
(1.14)
X2
40%
(2.31)
12
75%
(1.2)
Argentina
Deportivo Moron
Central Norte
1
1
51%
(1.79)
X
34%
(2.83)
2
15%
(5.47)
1X
85%
(1.12)
X2
49%
(1.91)
12
66%
(1.35)
Spain
Real Betis
Sevilla
1
1
62%
(1.8)
X
23%
(3.72)
2
15%
(4.46)
1X
85%
(1.19)
X2
38%
(1.99)
12
77%
(1.27)
Denmark
FC Midtjylland
Brondby
1
1
59%
(1.54)
X
26%
(4.24)
2
15%
(5.31)
1X
85%
(1.13)
X2
41%
(2.36)
12
74%
(1.2)
Greece
Panathinaikos
Aris Thessaloniki
1
1
56%
(1.75)
X
28%
(3.25)
2
16%
(5.07)
1X
84%
(1.14)
X2
44%
(2)
12
72%
(1.31)
Venezuela
Deportivo La Guaira
Rayo Zuliano
1
1
54%
(1.34)
X
31%
(4.3)
2
16%
(8.26)
1X
84%
(1.06)
X2
47%
(2.95)
12
69%
(1.15)
Vietnam
Hai Phong
Thanh Hoa FC
1
1
53%
(1.52)
X
31%
(3.62)
2
16%
(5.61)
1X
84%
(1.09)
X2
47%
(2.26)
12
69%
(1.22)
Argentina
Gimnasia de Jujuy
Quilmes
1
1
47%
(1.82)
X
37%
(2.93)
2
16%
(5.01)
1X
84%
(1.12)
X2
53%
(1.87)
12
63%
(1.34)
Croatia
Dinamo Zagreb
HNK Gorica
1
1
54%
(1.31)
X
29%
(4.76)
2
16%
(8.61)
1X
84%
(1.05)
X2
46%
(3.17)
12
71%
(1.15)
Costa Rica
Herediano
Perez Zeledon
1
1
46%
(1.46)
X
38%
(3.95)
2
17%
(5.86)
1X
83%
(1.1)
X2
54%
(2.47)
12
62%
(1.18)
Switzerland
Young Boys
Zurich
1
1
54%
(1.6)
X
29%
(4.3)
2
17%
(4.7)
1X
83%
(1.16)
X2
46%
(2.26)
12
71%
(1.19)
El Salvador
Aguila San Miguel
Cacahuatique
1
1
55%
(1.46)
X
28%
(3.93)
2
17%
(5.83)
1X
83%
(1.09)
X2
45%
(2.41)
12
72%
(1.19)
El Salvador
Zacatecoluca FC
Alianza San Salvador
2
1
17%
(6.19)
X
24%
(3.9)
2
59%
(1.44)
1X
41%
(2.5)
X2
83%
(1.08)
12
76%
(1.18)
Indonesia
Dewa United Banten
Bhayangkara Presisi Lampung
1
1
52%
(1.67)
X
31%
(3.55)
2
17%
(4.33)
1X
83%
(1.16)
X2
48%
(1.98)
12
69%
(1.22)
South Africa
Mamelodi Sundowns
Sekhukhune United
1
1
51%
(1.41)
X
32%
(3.76)
2
17%
(8.19)
1X
83%
(1.05)
X2
49%
(2.6)
12
68%
(1.21)
Turkey
Antalyaspor
Fenerbahce
2
1
17%
(6.59)
X
21%
(4.48)
2
62%
(1.46)
1X
38%
(2.64)
X2
83%
(1.1)
12
79%
(1.19)
Greece
Volos FC
AEK Athens
2
1
17%
(9.75)
X
18%
(5.16)
2
65%
(1.27)
1X
35%
(3.44)
X2
83%
(1.04)
12
82%
(1.14)
Colombia
Deportivo Cali
Fortaleza CEIF
1
1
54%
(1.72)
X
29%
(3.41)
2
17%
(4.96)
1X
83%
(1.15)
X2
46%
(2.05)
12
71%
(1.28)
Romania
Petrolul Ploiesti
Csikszereda Miercurea Ciuc
1
1
55%
(1.82)
X
28%
(3.15)
2
17%
(4.54)
1X
83%
(1.16)
X2
45%
(1.89)
12
72%
(1.31)
Germany
Stuttgart
Wolfsburg
1
1
59%
(1.46)
X
23%
(4.99)
2
17%
(6.11)
1X
83%
(1.12)
X2
41%
(2.69)
12
77%
(1.17)
Italy
Arezzo
Ravenna
1
1
50%
(1.76)
X
33%
(3.25)
2
17%
(4.29)
1X
83%
(1.15)
X2
50%
(1.9)
12
67%
(1.27)
Morocco
HUSA Agadir
Raja Casablanca
2
1
18%
(4.08)
X
22%
(3)
2
60%
(1.88)
1X
40%
(1.78)
X2
82%
(1.18)
12
78%
(1.31)
Italy
Cremonese
Milan
2
1
18%
(7.2)
X
18%
(4.34)
2
64%
(1.48)
1X
36%
(2.65)
X2
82%
(1.09)
12
82%
(1.2)
Morocco
FUS Rabat
Renaissance Zemamra
1
1
49%
(1.78)
X
33%
(3.19)
2
18%
(4.28)
1X
82%
(1.17)
X2
51%
(1.87)
12
67%
(1.28)
Ecuador
Emelec Guayaquil
Delfin Manta
1
1
45%
(1.65)
X
37%
(3.55)
2
18%
(4.95)
1X
82%
(1.15)
X2
55%
(2.1)
12
63%
(1.25)
Colombia
Deportivo Pasto
Cucuta Deportivo
1
1
47%
(1.61)
X
35%
(3.59)
2
18%
(5.62)
1X
82%
(1.12)
X2
53%
(2.2)
12
65%
(1.26)
Switzerland
Vaduz
Stade Nyonnais
1
1
46%
(1.31)
X
36%
(4.87)
2
18%
(7.29)
1X
82%
(1.05)
X2
54%
(3.09)
12
64%
(1.12)
Italy
Vis Pesaro 1898
Pontedera
1
1
47%
(1.75)
X
35%
(3.26)
2
18%
(4.29)
1X
82%
(1.16)
X2
53%
(1.9)
12
65%
(1.26)
Bosnia and Herzegovina
Siroki Brijeg
Sloga Doboj
1
1
43%
(1.72)
X
39%
(3.2)
2
18%
(4.59)
1X
82%
(1.13)
X2
57%
(1.88)
12
62%
(1.25)
Japan
Renofa Yamaguchi
Gainare Tottori
1
1
50%
(1.7)
X
32%
(3.52)
2
18%
(4.43)
1X
82%
(1.14)
X2
50%
(2)
12
68%
(1.25)
Romania
UTA Arad
FC FCSB
2
1
18%
(4.21)
X
22%
(3.43)
2
60%
(1.79)
1X
40%
(1.92)
X2
82%
(1.18)
12
78%
(1.27)
Venezuela
Deportivo Tachira
Metropolitanos FC
1
1
50%
(1.32)
X
31%
(4.52)
2
19%
(7.47)
1X
81%
(1.06)
X2
50%
(2.76)
12
69%
(1.15)
Denmark
Vejle
AGF Aarhus
2
1
19%
(4.92)
X
25%
(4.1)
2
56%
(1.6)
1X
44%
(2.24)
X2
81%
(1.15)
12
75%
(1.21)
Azerbaijan
Turan Tovuz
Imishli FK
1
1
48%
(1.42)
X
34%
(3.85)
2
19%
(6.71)
1X
81%
(1.06)
X2
52%
(2.5)
12
66%
(1.19)
Egypt
ENPPI Cairo
Al Masry Port Said
2
1
19%
(3.25)
X
25%
(2.82)
2
56%
(2.29)
1X
44%
(1.55)
X2
81%
(1.26)
12
75%
(1.37)
Croatia
HNK Rijeka
Lokomotiva Zagreb
1
1
50%
(1.62)
X
31%
(3.64)
2
19%
(4.86)
1X
81%
(1.14)
X2
50%
(2.14)
12
69%
(1.23)
England
Arsenal
Chelsea
1
1
51%
(1.58)
X
30%
(4.24)
2
19%
(5.67)
1X
81%
(1.13)
X2
49%
(2.37)
12
70%
(1.21)
Serbia
Radnicki 1923
Crvena zvezda Belgrade
2
1
19%
(6.69)
X
21%
(4.84)
2
60%
(1.35)
1X
40%
(2.94)
X2
81%
(1.08)
12
79%
(1.14)
Paraguay
Cerro Porteno
Recoleta
1
1
41%
(1.27)
X
40%
(5.09)
2
19%
(8.9)
1X
81%
(1.05)
X2
59%
(3.36)
12
60%
(1.13)
Argentina
Argentinos Juniors
Barracas Central
1
1
41%
(1.41)
X
40%
(4.05)
2
19%
(9.08)
1X
81%
(1.06)
X2
59%
(2.8)
12
60%
(1.22)
Spain
Zamora CF
CD Guadalajara
1
1
50%
(1.64)
X
31%
(3.44)
2
19%
(4.89)
1X
81%
(1.14)
X2
50%
(2.04)
12
69%
(1.24)
Northern Ireland
Cliftonville
Linfield
2
1
20%
(4.29)
X
25%
(3.5)
2
55%
(1.71)
1X
45%
(1.94)
X2
81%
(1.16)
12
75%
(1.23)
Czech Republic
Karvina
FC Slovacko
1
1
47%
(1.75)
X
33%
(3.73)
2
20%
(4.15)
1X
81%
(1.2)
X2
53%
(1.99)
12
67%
(1.24)
Slovenia
FC Koper
NS Mura
1
1
56%
(1.56)
X
25%
(3.83)
2
20%
(5.2)
1X
80%
(1.12)
X2
44%
(2.25)
12
75%
(1.18)
Nicaragua
ART Municipal Jalapa
Diriangen
2
1
20%
(3.97)
X
30%
(3.69)
2
50%
(1.78)
1X
50%
(1.93)
X2
80%
(1.21)
12
70%
(1.24)
Romania
Dinamo Bucuresti
Arges Pitesti
1
1
44%
(1.69)
X
36%
(3.36)
2
20%
(5.12)
1X
80%
(1.13)
X2
56%
(2.07)
12
64%
(1.28)
Switzerland
Grasshopper
Lugano
2
1
20%
(3.31)
X
26%
(3.53)
2
54%
(2.05)
1X
46%
(1.72)
X2
80%
(1.29)
12
74%
(1.27)
England
Manchester United
Crystal Palace
1
1
43%
(1.52)
X
37%
(4.54)
2
20%
(5.97)
1X
80%
(1.12)
X2
57%
(2.52)
12
63%
(1.19)
France
Metz
Brest
2
1
21%
(3.47)
X
24%
(3.44)
2
55%
(2.14)
1X
45%
(1.7)
X2
79%
(1.29)
12
76%
(1.3)
Belgium
Lommel
Seraing
1
1
44%
(1.6)
X
36%
(3.75)
2
21%
(4.74)
1X
79%
(1.15)
X2
56%
(2.16)
12
65%
(1.21)
Italy
Potenza
Benevento
2
1
21%
(4.68)
X
26%
(3.58)
2
53%
(1.62)
1X
47%
(2.09)
X2
79%
(1.12)
12
74%
(1.21)
Montenegro
OFK Petrovac
Arsenal Tivat
1
1
47%
(1.69)
X
32%
(3.18)
2
21%
(4.87)
1X
79%
(1.14)
X2
53%
(1.98)
12
68%
(1.29)
Costa Rica
Guadalupe FC
Deportivo Saprissa
2
1
21%
(4.72)
X
24%
(3.66)
2
55%
(1.61)
1X
45%
(2.14)
X2
79%
(1.13)
12
76%
(1.23)
USA
Sporting Kansas City
Columbus Crew
2
1
21%
(4.09)
X
31%
(4.13)
2
49%
(1.74)
1X
51%
(2.03)
X2
79%
(1.22)
12
70%
(1.22)
Russia
Chayka Peschanokopskoye
SKA-Khabarovsk
2
1
21%
(3.15)
X
24%
(3.17)
2
55%
(2.29)
1X
45%
(1.57)
X2
79%
(1.33)
12
76%
(1.32)
Japan
Zweigen Kanazawa
Kamatamare Sanuki
1
1
44%
(1.56)
X
35%
(3.77)
2
21%
(5.09)
1X
79%
(1.11)
X2
56%
(2.23)
12
65%
(1.21)
Italy
Sassuolo
Atalanta
2
1
21%
(3.68)
X
22%
(3.5)
2
57%
(2.04)
1X
43%
(1.77)
X2
79%
(1.27)
12
78%
(1.29)
Germany
Duisburg
Havelse
1
1
50%
(1.46)
X
29%
(4.31)
2
21%
(5.69)
1X
79%
(1.1)
X2
50%
(2.49)
12
71%
(1.16)
Guatemala
Municipal
Marquense
1
1
48%
(1.17)
X
30%
(5.59)
2
22%
(12.6)
1X
78%
(1.02)
X2
52%
(4.06)
12
70%
(1.08)
Italy
Cosenza
Sorrento
1
1
40%
(1.57)
X
38%
(3.58)
2
22%
(5.03)
1X
78%
(1.12)
X2
60%
(2.16)
12
62%
(1.2)
Turkey
Samsunspor
Gaziantep FK
1
1
45%
(1.77)
X
33%
(3.65)
2
22%
(4.47)
1X
78%
(1.2)
X2
55%
(1.99)
12
67%
(1.26)
South Korea
Chungbuk Cheongju
Suwon FC
2
1
22%
(3.22)
X
25%
(3.05)
2
53%
(2.08)
1X
47%
(1.62)
X2
78%
(1.27)
12
75%
(1.29)
Taiwan
Taichung Rock
AC Taipei
2
1
22%
(4.29)
X
27%
(3.49)
2
51%
(1.7)
1X
49%
(1.97)
X2
78%
(1.16)
12
73%
(1.22)
Luxembourg
US Hostert
UNA Strassen
2
1
22%
(5.54)
X
23%
(4.03)
2
55%
(1.46)
1X
45%
(2.39)
X2
78%
(1.1)
12
77%
(1.17)
Israel
Hapoel Beer Sheva
Hapoel Petah Tikva
1
1
46%
(1.34)
X
32%
(4.88)
2
22%
(6.8)
1X
78%
(1.07)
X2
54%
(2.9)
12
68%
(1.14)
Belgium
Cercle Brugge
Dender
1
1
44%
(1.72)
X
34%
(3.7)
2
22%
(4.56)
1X
78%
(1.17)
X2
56%
(2.03)
12
66%
(1.25)
Turkey
Adana Demirspor
Pendikspor
2
1
22%
(21.8)
X
23%
(9.84)
2
55%
(1.05)
1X
45%
(7.64)
X2
78%
(1.01)
12
77%
(1.03)
Spain
Real Sociedad B
Deportivo La Coruna
2
1
22%
(3.17)
X
27%
(3.24)
2
51%
(2.16)
1X
50%
(1.64)
X2
78%
(1.3)
12
73%
(1.3)
France
Lille
Nantes
1
1
43%
(1.5)
X
35%
(4.38)
2
22%
(6.76)
1X
78%
(1.1)
X2
57%
(2.58)
12
65%
(1.2)
Italy
Ternana
Campobasso
1
1
43%
(1.74)
X
35%
(3.28)
2
22%
(4.33)
1X
78%
(1.15)
X2
57%
(1.91)
12
65%
(1.26)
El Salvador
Fuerte San Francisco
Isidro Metapan
2
1
26%
(3.55)
X
22%
(2.97)
2
51%
(2.02)
1X
49%
(1.66)
X2
74%
(1.23)
12
78%
(1.31)
Singapore
Tanjong Pagar
Balestier Khalsa
2
1
23%
(3.87)
X
24%
(4.45)
2
54%
(1.61)
1X
46%
(2.1)
X2
78%
(1.2)
12
76%
(1.16)
Peru
Juan Pablo II College
Cusco FC
2
1
23%
(3.1)
X
28%
(3.28)
2
50%
(2.14)
1X
50%
(1.64)
X2
77%
(1.32)
12
72%
(1.27)
Austria
Grazer AK
SV Ried
2
1
23%
(3.05)
X
25%
(3.23)
2
52%
(2.3)
1X
48%
(1.57)
X2
77%
(1.34)
12
75%
(1.32)
Ecuador
LDU de Quito
Macara Ambato
1
1
43%
(1.41)
X
34%
(4.13)
2
23%
(6.98)
1X
77%
(1.09)
X2
57%
(2.55)
12
66%
(1.2)
Belgium
Charleroi
Club Brugge
2
1
23%
(3.73)
X
30%
(3.69)
2
47%
(1.9)
1X
53%
(1.86)
X2
77%
(1.25)
12
70%
(1.25)
Japan
SC Sagamihara
Montedio Yamagata
2
1
24%
(4.3)
X
23%
(3.53)
2
53%
(1.71)
1X
47%
(1.92)
X2
76%
(1.17)
12
77%
(1.24)
Luxembourg
Progres Niedercorn
Union Titus Petange
1
1
49%
(1.6)
X
28%
(3.56)
2
23%
(4.79)
1X
77%
(1.14)
X2
51%
(2.1)
12
72%
(1.22)
USA
Vancouver Whitecaps
Toronto FC
1
1
43%
(1.45)
X
34%
(4.68)
2
23%
(6.33)
1X
77%
(1.1)
X2
57%
(2.69)
12
66%
(1.17)
Czech Republic
Zlin
Viktoria Plzen
2
1
23%
(4.98)
X
26%
(3.56)
2
50%
(1.68)
1X
50%
(2.1)
X2
77%
(1.15)
12
74%
(1.25)
Hungary
Ferencvarosi
Kazincbarcikai SC
1
1
47%
(1.15)
X
30%
(7.01)
2
23%
(12.83)
1X
77%
(1.03)
X2
53%
(4.63)
12
70%
(1.07)
Portugal
Rio Ave
Famalicao
2
1
25%
(4.02)
X
24%
(3.55)
2
52%
(1.89)
1X
48%
(1.88)
X2
75%
(1.22)
12
77%
(1.28)
Japan
Tochigi SC
Yokohama FC
2
1
24%
(3.47)
X
24%
(3.29)
2
53%
(1.97)
1X
47%
(1.7)
X2
77%
(1.23)
12
76%
(1.29)
Italy
Pescara
Palermo
2
1
27%
(4.23)
X
24%
(3.76)
2
50%
(1.75)
1X
50%
(2)
X2
73%
(1.19)
12
76%
(1.25)
Netherlands
FC Volendam
FC Groningen
2
1
24%
(3.74)
X
27%
(3.65)
2
50%
(1.94)
1X
51%
(1.83)
X2
76%
(1.26)
12
73%
(1.27)
Taiwan
Hang Yuen
Tainan City
2
1
24%
(2.79)
X
24%
(3.41)
2
52%
(2.18)
1X
48%
(1.57)
X2
76%
(1.36)
12
76%
(1.25)
Andorra
CE Carroi
FC Santa Coloma
2
1
24%
(31)
X
25%
(10.5)
2
51%
(1.03)
1X
49%
(7.1)
X2
76%
(1.01)
12
75%
(1.03)
Tunisia
Olympique Beja
Esperance de Tunis
2
1
24%
(9.95)
X
27%
(4.79)
2
49%
(1.26)
1X
51%
(3.12)
X2
76%
(1.05)
12
73%
(1.15)
Slovenia
Bravo Ljubljana
NK Celje
2
1
26%
(4.34)
X
24%
(3.99)
2
50%
(1.61)
1X
50%
(2.07)
X2
74%
(1.16)
12
76%
(1.19)
Spain
Eibar
Cadiz
1
1
45%
(1.73)
X
31%
(3.35)
2
24%
(4.8)
1X
76%
(1.16)
X2
55%
(2.01)
12
69%
(1.29)
Russia
FC Sochi
Spartak Moskva
2
1
26%
(5.75)
X
24%
(4.22)
2
50%
(1.6)
1X
50%
(2.4)
X2
75%
(1.15)
12
76%
(1.23)
Australia
Wellington Phoenix
Sydney FC
2
1
26%
(3.56)
X
25%
(3.79)
2
50%
(1.93)
1X
50%
(1.81)
X2
74%
(1.27)
12
75%
(1.23)
Russia
Chernomorets Novorossiysk
Torpedo Moskva
2
1
25%
(3.34)
X
25%
(3.03)
2
51%
(2.3)
1X
49%
(1.55)
X2
75%
(1.3)
12
75%
(1.37)
Thailand
Muangthong United
Port Bangkok
2
1
25%
(4.01)
X
25%
(3.7)
2
51%
(1.69)
1X
49%
(1.97)
X2
75%
(1.18)
12
75%
(1.2)
San Marino
SS Murata
SS Cosmos
2
1
25%
(31)
X
26%
(11.9)
2
49%
(1.03)
1X
51%
(9.6)
X2
75%
(1)
12
74%
(1.04)
Montenegro
Buducnost Podgorica
Decic Tuzi
1
1
42%
(1.65)
X
33%
(3.27)
2
25%
(4.96)
1X
75%
(1.13)
X2
58%
(2.04)
12
67%
(1.26)
Greece
Panserraikos
Olympiacos Piraeus
2
1
25%
(22.33)
X
31%
(8.83)
2
44%
(1.09)
1X
56%
(6.58)
X2
75%
(1.01)
12
69%
(1.06)
Mexico
Atletico Morelia
Atletico La Paz
1
1
39%
(1.56)
X
36%
(4.05)
2
25%
(4.52)
1X
75%
(1.15)
X2
61%
(2.21)
12
64%
(1.18)
Luxembourg
Racing FC Union
F91 Dudelange
2
1
25%
(3.01)
X
27%
(3.22)
2
48%
(2.11)
1X
52%
(1.59)
X2
75%
(1.31)
12
73%
(1.26)
Turkey
Serikspor
Sivasspor
2
1
28%
(4.96)
X
25%
(3.97)
2
47%
(1.53)
1X
53%
(2.25)
X2
73%
(1.13)
12
75%
(1.19)
Germany
Magdeburg
Karlsruher
1
1
43%
(1.68)
X
32%
(4.28)
2
25%
(4.21)
1X
75%
(1.21)
X2
57%
(2.1)
12
68%
(1.19)
Poland
Wisla Krakow
Znicz Pruszkow
1
1
48%
(1.25)
X
27%
(5.31)
2
25%
(8.75)
1X
75%
(1.04)
X2
53%
(3.46)
12
73%
(1.1)
Germany
Hamburger
RB Leipzig
2
1
27%
(3.59)
X
25%
(3.75)
2
48%
(2)
1X
52%
(1.8)
X2
73%
(1.28)
12
75%
(1.27)
Netherlands
FC Zwolle
Ajax Amsterdam
2
1
27%
(4.09)
X
26%
(4.04)
2
48%
(1.77)
1X
52%
(2.01)
X2
74%
(1.22)
12
75%
(1.23)
USA
Real Salt Lake
Seattle Sounders
2
1
27%
(3.16)
X
26%
(3.52)
2
47%
(2.18)
1X
53%
(1.65)
X2
73%
(1.34)
12
74%
(1.29)
Chile
Nublense Chillan
Universidad Catolica
2
1
26%
(3.07)
X
28%
(3.14)
2
47%
(2.26)
1X
53%
(1.57)
X2
74%
(1.33)
12
73%
(1.32)
USA
Houston Dynamo
Los Angeles FC
2
1
26%
(3.56)
X
29%
(3.69)
2
45%
(1.97)
1X
55%
(1.81)
X2
74%
(1.27)
12
71%
(1.26)
Russia
Akhmat Grozny
CSKA Moskva
2
1
26%
(3.2)
X
29%
(3.34)
2
45%
(2.37)
1X
55%
(1.62)
X2
74%
(1.36)
12
71%
(1.34)
Germany
Schweinfurt 05
Saarbrucken
2
1
26%
(4.83)
X
29%
(3.91)
2
45%
(1.59)
1X
55%
(2.17)
X2
74%
(1.14)
12
71%
(1.2)
Spain
Cultural Leonesa
Las Palmas
2
1
26%
(3.15)
X
26%
(3.04)
2
48%
(2.31)
1X
53%
(1.56)
X2
74%
(1.31)
12
74%
(1.34)
Nicaragua
Real Madriz
Walter Ferretti
2
1
27%
(3.48)
X
26%
(3.61)
2
47%
(1.91)
1X
53%
(1.79)
X2
73%
(1.25)
12
74%
(1.25)
Belgium
Westerlo
Union Saint-Gilloise
2
1
27%
(4.57)
X
35%
(3.87)
2
38%
(1.68)
1X
62%
(2.09)
X2
73%
(1.17)
12
65%
(1.23)
Ecuador
Deportivo Cuenca
Barcelona Guayaquil
2
1
35%
(1.93)
X
27%
(3.26)
2
38%
(3.81)
1X
63%
(1.23)
X2
65%
(1.79)
12
73%
(1.28)
India
Dempo Goa
Real Kashmir
1
1
38%
(2.27)
X
27%
(2.96)
2
35%
(2.94)
1X
66%
(1.32)
X2
62%
(1.52)
12
73%
(1.32)
Thailand
Nakhon Ratchasima FC
PT Prachuap
2
1
28%
(3.71)
X
28%
(3.51)
2
45%
(1.8)
1X
55%
(1.83)
X2
72%
(1.2)
12
73%
(1.23)
Belgium
Genk
KAA Gent
1
1
38%
(1.67)
X
35%
(3.94)
2
28%
(4.59)
1X
72%
(1.18)
X2
62%
(2.12)
12
66%
(1.23)
Czech Republic
FC Vlasim
Taborsko
1
1
37%
(2.7)
X
35%
(3.2)
2
29%
(2.3)
1X
71%
(1.52)
X2
64%
(1.38)
12
65%
(1.27)
Chile
Colo-Colo Santiago
Universidad de Chile
1
1
36%
(2.25)
X
35%
(3.16)
2
29%
(3.12)
1X
71%
(1.33)
X2
64%
(1.58)
12
65%
(1.31)
Denmark
FC Copenhagen
Randers FC
1
1
37%
(1.57)
X
35%
(4.09)
2
29%
(5.23)
1X
71%
(1.14)
X2
64%
(2.31)
12
65%
(1.21)
India
Odisha FC
Chennaiyin FC
2
1
29%
(3.62)
X
30%
(3.38)
2
41%
(1.89)
1X
59%
(1.79)
X2
71%
(1.23)
12
70%
(1.26)
Austria
Red Bull Salzburg
TSV Hartberg
1
1
41%
(1.45)
X
30%
(4.61)
2
30%
(6.08)
1X
71%
(1.11)
X2
59%
(2.61)
12
70%
(1.17)
Bosnia and Herzegovina
Posusje
Rudar Prijedor
1
1
35%
(1.86)
X
35%
(3.01)
2
30%
(4.01)
1X
70%
(1.17)
X2
65%
(1.77)
12
65%
(1.29)
Mexico
Cancun
Jaiba Brava
1
1
35%
(2.53)
X
33%
(3.01)
2
32%
(2.6)
1X
68%
(1.42)
X2
65%
(1.43)
12
67%
(1.31)
USA
FC Dallas
Nashville SC
1
1
35%
(2.76)
X
33%
(3.53)
2
32%
(2.4)
1X
68%
(1.54)
X2
65%
(1.43)
12
67%
(1.28)
Malta
Naxxar Lions
Birkirkara
1
1
35%
(2.74)
X
33%
(3.26)
2
32%
(2.27)
1X
68%
(1.54)
X2
65%
(1.38)
12
67%
(1.24)


Football 1×2 Probability Guide

ProbabilityRecommendation
0% – 40%Very low chance
40% – 50%Slight chance
50% – 60%Good chance
60% – 70%Very good chance
70% +Excellent chance

Football 1×2 Tips Betting Guide

1×2 betting is the most straightforward and widely recognized type of football betting. It involves predicting the outcome of a match based on three possible results: a home win (1), a draw (X), or an away win (2). This market is often referred to as the “match result” or “full-time result” market, as it focuses solely on the outcome after 90 minutes of play (including injury time but excluding extra time or penalties).

Let’s break it down:

  • 1 (Home Win): You’re betting on the home team to win the match.
  • X (Draw): You’re predicting that neither team will win, and the game will end in a tie.
  • 2 (Away Win): You’re betting that the away team will come out victorious.

For example, in a match between Liverpool and Manchester United, if you think Liverpool (the home team) will win, you place your bet on “1.” If you feel both teams are evenly matched and might share the points, you bet on “X.” If you believe Manchester United will win, your bet goes on “2.”

This simplicity is what makes 1×2 betting so popular among beginners and experienced bettors alike. It’s easy to grasp yet allows room for strategic decisions based on analysis and insight.

Football 1x2 tips guide

Reading Odds and Probability

Understanding odds is essential for football betting. Odds represent the probability of an event occurring and determine how much you stand to win from a bet. In 1×2 betting, you’ll see odds displayed for each of the three possible outcomes: home win (1), draw (X), and away win (2). Odds can be shown in three main formats: decimalfractional, and American.

  • Decimal Odds: Popular in Europe, these are straightforward. For example, if the odds for a home win are 2.50, a $10 bet would return $25 (stake × odds), meaning a $15 profit.
  • Fractional Odds: Common in the UK, they show potential profit relative to your stake. For instance, odds of 3/1 mean you’ll win $3 for every $1 wagered. A $10 bet would return $40 (stake + $30 profit).
  • American Odds: Used in the US, these can be positive or negative. Positive odds (e.g., +200) show how much profit you’d make on a $100 bet, while negative odds (e.g., -150) indicate how much you’d need to bet to win $100.

Each odds format reflects the implied probability of an outcome. For example, odds of 2.00 in decimal imply a 50% chance (1 ÷ 2.00 × 100). Mastering odds helps you spot value and make informed betting decisions.

How we Pick Winning Football 1×2 Tips

Here at Betbench we take into account 10 key factors that determine the outcome of matches to come up with our Football 1×2 tips and predictions. Breaking down these factors will help you predict outcomes more accurately and avoid betting based solely on gut feelings. Evaluating these factors can help you make smarter betting decisions:

  • Team Form – Check recent results: Are the teams winning, losing, or drawing in their last 5-10 matches? Assess their performance at home and away during this period.
  • Head-to-Head Record – Look at past matchups between the teams. Does one side consistently dominate? Note patterns like high-scoring games or frequent draws between them.
  • Home and Away Advantage – Home teams often benefit from crowd support, reduced travel, and familiar conditions. Some teams perform poorly away, especially against tough opponents.
  • Injuries and Suspensions – Missing star players can weaken a team’s attack, defense, or midfield control. Teams often struggle to adapt to losing key players, especially in important positions.
  • Playing Style and Matchups – Consider tactical setups: Is it an attacking team versus a defensive one? Some teams struggle against specific styles, like counterattacks or high-press systems.
  • Motivation Levels – Teams chasing trophies, European spots, or avoiding relegation often show more determination. Teams with no clear goal may not approach games with the same intensity.
  • Schedule Congestion and Fatigue – Teams with multiple games in a short period (e.g., midweek fixtures) may rotate players. Fatigue impacts performance, especially for squads with less depth.
  • Weather and Pitch Conditions – Heavy rain, wind, or snow can slow games and favor defensive setups. Some teams struggle on artificial turf or poorly maintained pitches.
  • Recent Managerial Changes – New managers can boost team morale and results in the short term. Alternatively, a team adapting to new tactics might struggle initially.
  • Team Statistics – Examine metrics like goals scored/conceded per game, clean sheets, and shot conversion rates. Use data such as expected goals (xG) to assess a team’s true performance levels and gauge the football 1×2 tips.

Combining Multiple 1×2 Bets

An accumulator, or “acca,” is when you combine multiple football 1×2 tips into a single wager. Instead of betting on just one match outcome, you select results from two or more games, and all your picks need to win for your bet to pay out. The main appeal? The odds for each selection are multiplied, which means potentially huge payouts from a small stake.

For example:

  • Match 1: Liverpool to win (1) at odds of 2.00.
  • Match 2: Arsenal to win (1) at odds of 1.80.
  • Match 3: Manchester City to win (1) at odds of 1.50.

Individually, these bets don’t offer massive returns. But combine them, and the total odds are 2.00 × 1.80 × 1.50 = 5.40. A $10 stake on this accumulator would return $54 if all three teams win.

Why I Like Accumulators

Accas are exciting because they turn modest stakes into big wins, especially if you include underdogs or draws. But they’re not easy to land since one wrong pick ruins the whole bet. This is why I suggest sticking to teams you’ve analyzed thoroughly.

Tips for Building Better Accas

  • Stick to 2-4 Teams: The more games you include, the higher the odds—but also the risk.
  • Balance the Selections: Mix safer bets (strong favorites) with a couple of higher-risk picks to boost the odds without being overly ambitious.
  • Avoid Long Shots: Betting on massive underdogs might be tempting, but it’s risky in an acca.
  • Limit Emotions: Don’t include your favorite team just because you support them—stick to logical picks.

Betting on football, especially using if using our football 1×2 tips, is both fun and rewarding when done right. It’s simple enough for beginners but has enough depth for seasoned bettors to stay engaged.

By understanding how 1×2 betting works, reading odds properly, analyzing key factors like team form and head-to-head records, and experimenting with options like accumulators, you can improve your chances of making smarter bets.