Updated on March 15, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Turkey
Erzurumspor
Hatayspor
1
1
78%
(1.03)
X
15%
(12)
2
7%
(31.2)
1X
93%
(1.01)
X2
22%
(8.9)
12
85%
(1.03)
Armenia
Urartu
BKMA
1
1
69%
(1.31)
X
24%
(4.81)
2
8%
(7.5)
1X
92%
(1.06)
X2
32%
(3.06)
12
76%
(1.13)
Serbia
Zeleznicar Pancevo
Mladost Lucani
1
1
65%
(1.69)
X
22%
(3.38)
2
12%
(4.7)
1X
88%
(1.15)
X2
35%
(2.01)
12
78%
(1.26)
Faroe Islands
KI Klaksvik
NSI Runavik
1
1
66%
(1.42)
X
21%
(4.51)
2
13%
(5.21)
1X
87%
(1.11)
X2
34%
(2.5)
12
79%
(1.15)
Estonia
Paide Linnameeskond
Narva Trans
1
1
68%
(1.57)
X
19%
(3.96)
2
13%
(4.57)
1X
87%
(1.15)
X2
32%
(2.18)
12
81%
(1.16)
Azerbaijan
Gabala SC
Neftchi Baku
2
1
13%
(4.48)
X
16%
(3.29)
2
71%
(1.71)
1X
29%
(1.94)
X2
87%
(1.14)
12
84%
(1.26)
Singapore
Balestier Khalsa
Lion City Sailors
2
1
14%
(10.89)
X
15%
(7.37)
2
71%
(1.14)
1X
29%
(4.39)
X2
86%
(1.03)
12
85%
(1.05)
Spain
Barcelona
Sevilla
1
1
64%
(1.28)
X
23%
(6.3)
2
14%
(9.84)
1X
86%
(1.05)
X2
37%
(3.71)
12
78%
(1.11)
Luxembourg
Atert Bissen
Union Titus Petange
1
1
63%
(1.5)
X
23%
(3.79)
2
14%
(5.58)
1X
86%
(1.1)
X2
37%
(2.3)
12
77%
(1.19)
Greece
PAOK Thessaloniki
Levadiakos
1
1
60%
(1.3)
X
26%
(5.04)
2
14%
(9.7)
1X
86%
(1.04)
X2
40%
(3.42)
12
74%
(1.13)
Costa Rica
Herediano
Municipal Liberia
1
1
55%
(1.65)
X
30%
(3.68)
2
15%
(4.4)
1X
85%
(1.14)
X2
45%
(2.05)
12
70%
(1.23)
Cyprus
Omonia Nicosia
Olympiakos Nicosia
1
1
55%
(1.3)
X
30%
(4.82)
2
15%
(7.87)
1X
85%
(1.05)
X2
45%
(3.09)
12
70%
(1.13)
Portugal
Porto
Moreirense
1
1
59%
(1.19)
X
26%
(6.55)
2
15%
(16.6)
1X
85%
(1.02)
X2
41%
(4.52)
12
74%
(1.1)
Turkey
Amed SFK
Manisa FK
1
1
63%
(1.3)
X
22%
(4.95)
2
15%
(7.76)
1X
85%
(1.05)
X2
37%
(3.08)
12
78%
(1.12)
Ukraine
Shakhtar Donetsk
Metalist 1925 Kharkiv
1
1
52%
(1.43)
X
33%
(4.07)
2
15%
(6.73)
1X
85%
(1.08)
X2
48%
(2.56)
12
67%
(1.2)
Azerbaijan
Kapaz Ganja
Turan Tovuz
2
1
16%
(5.82)
X
19%
(3.48)
2
65%
(1.52)
1X
35%
(2.24)
X2
84%
(1.09)
12
81%
(1.22)
Faroe Islands
HB Torshavn
07 Vestur
1
1
58%
(1.15)
X
26%
(6.81)
2
16%
(11.5)
1X
84%
(1.03)
X2
42%
(4.3)
12
74%
(1.05)
Italy
Lazio
Milan
2
1
18%
(4.13)
X
16%
(3.41)
2
66%
(1.95)
1X
34%
(1.84)
X2
82%
(1.21)
12
84%
(1.29)
Estonia
Harju JK Laagri
FCI Levadia Tallinn
2
1
16%
(8.18)
X
20%
(5.45)
2
64%
(1.24)
1X
36%
(3.22)
X2
84%
(1.05)
12
80%
(1.11)
Spain
Ibiza
Marbella
1
1
51%
(1.43)
X
33%
(3.83)
2
16%
(7.17)
1X
84%
(1.06)
X2
50%
(2.59)
12
67%
(1.19)
Italy
Gubbio
Ascoli
2
1
17%
(4.26)
X
21%
(3.04)
2
63%
(1.83)
1X
37%
(1.83)
X2
84%
(1.14)
12
79%
(1.31)
Austria
Red Bull Salzburg
Rapid Wien
1
1
55%
(1.66)
X
28%
(3.95)
2
17%
(4.72)
1X
83%
(1.16)
X2
45%
(2.15)
12
72%
(1.22)
Venezuela
Carabobo FC
Rayo Zuliano
1
1
49%
(1.38)
X
34%
(3.94)
2
17%
(7.72)
1X
83%
(1.06)
X2
51%
(2.63)
12
66%
(1.18)
Portugal
Sporting CP
Tondela
1
1
54%
(1.15)
X
29%
(8.13)
2
17%
(19.5)
1X
83%
(1.02)
X2
46%
(5)
12
71%
(1.06)
El Salvador
Inter FA Santa Tecla
Alianza San Salvador
2
1
17%
(3.68)
X
21%
(3.12)
2
62%
(1.92)
1X
38%
(1.73)
X2
83%
(1.22)
12
79%
(1.28)
Venezuela
Deportivo Tachira
Zamora Barinas
1
1
52%
(1.5)
X
32%
(3.76)
2
17%
(5.56)
1X
83%
(1.09)
X2
49%
(2.3)
12
68%
(1.2)
Italy
Arezzo
Perugia
1
1
49%
(1.58)
X
34%
(3.41)
2
17%
(5.42)
1X
83%
(1.1)
X2
51%
(2.16)
12
66%
(1.23)
Turkey
Sivasspor
Umraniyespor
1
1
48%
(1.66)
X
35%
(3.58)
2
17%
(4.44)
1X
83%
(1.15)
X2
52%
(1.99)
12
65%
(1.22)
Brazil
Fluminense RJ
Atletico PR
1
1
53%
(1.74)
X
30%
(3.67)
2
17%
(4.73)
1X
83%
(1.18)
X2
47%
(2.05)
12
70%
(1.26)
Greece
Panathinaikos
Panetolikos
1
1
56%
(1.32)
X
26%
(4.72)
2
17%
(9.2)
1X
83%
(1.04)
X2
44%
(3.18)
12
74%
(1.16)
Norway
Tromso
Fredrikstad
1
1
57%
(1.72)
X
26%
(3.79)
2
17%
(4.48)
1X
83%
(1.18)
X2
43%
(2.05)
12
74%
(1.24)
Czech Republic
Viktoria Plzen
Bohemians 1905 Prague
1
1
52%
(1.44)
X
30%
(4.34)
2
18%
(6.35)
1X
83%
(1.09)
X2
48%
(2.61)
12
70%
(1.18)
Spain
Alcorcon
Algeciras CF
1
1
47%
(1.8)
X
36%
(3.09)
2
18%
(4.44)
1X
83%
(1.16)
X2
53%
(1.88)
12
64%
(1.29)
Croatia
HNK Rijeka
Istra 1961 Pula
1
1
54%
(1.54)
X
28%
(3.79)
2
18%
(5.66)
1X
82%
(1.1)
X2
46%
(2.3)
12
72%
(1.21)
Bulgaria
Beroe Stara Zagora
Levski Sofia
2
1
18%
(9.55)
X
21%
(4.93)
2
61%
(1.28)
1X
39%
(3.26)
X2
82%
(1.03)
12
79%
(1.14)
Argentina
Gimnasia de Jujuy
Atletico Colegiales
1
1
44%
(1.64)
X
38%
(3.16)
2
18%
(5.88)
1X
82%
(1.1)
X2
56%
(2.11)
12
62%
(1.27)
Guatemala
Municipal
Aurora Guatemala
1
1
53%
(1.24)
X
29%
(4.95)
2
18%
(9.98)
1X
82%
(1.03)
X2
47%
(3.37)
12
71%
(1.12)
Argentina
Rosario Central
Banfield
1
1
49%
(1.56)
X
33%
(3.8)
2
18%
(6)
1X
82%
(1.11)
X2
51%
(2.33)
12
67%
(1.24)
Peru
Melgar Arequipa
Atletico Grau
1
1
53%
(1.37)
X
30%
(4.26)
2
18%
(7.62)
1X
82%
(1.07)
X2
47%
(2.82)
12
71%
(1.16)
Colombia
Santa Fe Bogota
Alianza Valledupar
1
1
53%
(1.62)
X
29%
(3.66)
2
18%
(5.35)
1X
82%
(1.13)
X2
47%
(2.18)
12
71%
(1.24)
Italy
Cittadella
Dolomiti Bellunesi
1
1
50%
(1.57)
X
33%
(3.65)
2
18%
(5.01)
1X
82%
(1.1)
X2
51%
(2.18)
12
68%
(1.21)
El Salvador
Platense Zacatecoluca
Aguila San Miguel
2
1
18%
(4.68)
X
18%
(3.76)
2
64%
(1.59)
1X
37%
(2.15)
X2
82%
(1.14)
12
82%
(1.21)
Peru
Sporting Cristal
Sport Boys
1
1
51%
(1.49)
X
31%
(3.89)
2
18%
(5.97)
1X
82%
(1.1)
X2
49%
(2.42)
12
69%
(1.2)
USA
Vancouver Whitecaps
Minnesota United
1
1
52%
(1.47)
X
30%
(4.6)
2
18%
(6.23)
1X
82%
(1.1)
X2
48%
(2.64)
12
70%
(1.18)
Costa Rica
Sporting San Jose
San Carlos
1
1
46%
(1.69)
X
36%
(3.43)
2
18%
(4.53)
1X
82%
(1.13)
X2
54%
(2.02)
12
64%
(1.27)
Spain
Malaga
Huesca
1
1
50%
(1.69)
X
31%
(3.48)
2
19%
(4.84)
1X
82%
(1.14)
X2
50%
(2.04)
12
69%
(1.27)
Luxembourg
Differdange FC
Jeunesse Esch
1
1
56%
(1.29)
X
26%
(4.69)
2
19%
(8.81)
1X
81%
(1.04)
X2
44%
(3.12)
12
75%
(1.13)
Argentina
Gimnasia y Tiro
Temperley
1
1
44%
(1.86)
X
38%
(2.86)
2
19%
(4.83)
1X
81%
(1.14)
X2
56%
(1.84)
12
62%
(1.33)
Russia
Ural Sverdlovskaya Oblast
Arsenal Tula
1
1
52%
(1.72)
X
29%
(3.63)
2
19%
(4.67)
1X
81%
(1.17)
X2
48%
(2.02)
12
71%
(1.25)
Brazil
Cruzeiro MG
Vasco Da Gama RJ
1
1
50%
(1.82)
X
31%
(3.61)
2
19%
(4.25)
1X
81%
(1.21)
X2
50%
(1.94)
12
69%
(1.28)
Denmark
FC Midtjylland
FC Nordsjaelland
1
1
55%
(1.46)
X
27%
(4.68)
2
19%
(5.47)
1X
81%
(1.12)
X2
45%
(2.57)
12
73%
(1.17)
Italy
Benevento
Foggia
1
1
47%
(1.16)
X
34%
(5.75)
2
19%
(12.6)
1X
81%
(1.03)
X2
53%
(4.1)
12
66%
(1.09)
Japan
Roasso Kumamoto
Gainare Tottori
1
1
52%
(1.73)
X
29%
(3.45)
2
19%
(4.29)
1X
81%
(1.15)
X2
48%
(1.94)
12
71%
(1.25)
England
Liverpool
Tottenham
1
1
50%
(1.3)
X
31%
(6.21)
2
19%
(9.16)
1X
81%
(1.06)
X2
50%
(3.59)
12
70%
(1.12)
Malaysia
Brunei DPMM FC
Johor Darul Takzim
2
1
21%
(29.9)
X
19%
(12.9)
2
60%
(1.05)
1X
40%
(7.87)
X2
79%
(1.01)
12
81%
(1.03)
Vietnam
Viettel
Hai Phong
1
1
49%
(1.58)
X
32%
(3.82)
2
19%
(4.58)
1X
81%
(1.15)
X2
51%
(2.18)
12
68%
(1.19)
Argentina
River Plate
Sarmiento de Junin
1
1
43%
(1.44)
X
38%
(4.12)
2
19%
(7.6)
1X
81%
(1.07)
X2
57%
(2.68)
12
62%
(1.21)
Paraguay
Nacional Asuncion
Rubio Nu
1
1
42%
(1.78)
X
38%
(3.25)
2
19%
(4.45)
1X
81%
(1.16)
X2
58%
(1.91)
12
62%
(1.29)
Belgium
Lommel
Francs Borains
1
1
49%
(1.62)
X
32%
(3.8)
2
19%
(4.49)
1X
81%
(1.15)
X2
51%
(2.1)
12
68%
(1.21)
USA
Los Angeles Galaxy
Sporting Kansas City
1
1
55%
(1.55)
X
26%
(4.56)
2
20%
(5.1)
1X
80%
(1.15)
X2
45%
(2.4)
12
74%
(1.18)
Cyprus
Anorthosis Famagusta
Apollon Limassol
2
1
20%
(3.48)
X
25%
(3.24)
2
55%
(1.95)
1X
45%
(1.71)
X2
80%
(1.24)
12
75%
(1.28)
Czech Republic
Slavia Prague B
SK Prostejov
1
1
52%
(1.63)
X
28%
(3.75)
2
20%
(4.36)
1X
80%
(1.15)
X2
48%
(2.07)
12
72%
(1.21)
Argentina
San Martin de Tucuman
Nueva Chicago
1
1
45%
(1.84)
X
35%
(2.84)
2
20%
(5.03)
1X
80%
(1.13)
X2
56%
(1.8)
12
65%
(1.36)
USA
Chicago Fire
D.C. United
1
1
47%
(1.6)
X
33%
(4.07)
2
20%
(5.18)
1X
80%
(1.14)
X2
53%
(2.27)
12
67%
(1.22)
Mexico
Deportivo Toluca
Atlas Guadalajara
1
1
50%
(1.35)
X
30%
(4.81)
2
20%
(7.71)
1X
80%
(1.06)
X2
50%
(2.98)
12
70%
(1.15)
Croatia
Hajduk Split
Lokomotiva Zagreb
1
1
48%
(1.56)
X
32%
(3.8)
2
20%
(5.35)
1X
80%
(1.11)
X2
52%
(2.24)
12
68%
(1.22)
Netherlands
AZ Alkmaar
Heracles Almelo
1
1
50%
(1.4)
X
29%
(4.89)
2
21%
(7.17)
1X
79%
(1.08)
X2
50%
(2.88)
12
71%
(1.17)
China
Shanghai Port
Qingdao West Coast
1
1
51%
(1.51)
X
28%
(4.54)
2
21%
(5.2)
1X
79%
(1.14)
X2
49%
(2.42)
12
72%
(1.18)
USA
Los Angeles FC
St. Louis City
1
1
47%
(1.36)
X
32%
(5.26)
2
21%
(7.44)
1X
79%
(1.08)
X2
53%
(3.07)
12
68%
(1.14)
Japan
Tokushima Vortis
Kamatamare Sanuki
1
1
45%
(1.35)
X
34%
(4.49)
2
21%
(7.36)
1X
79%
(1.06)
X2
55%
(2.81)
12
66%
(1.15)
Italy
Picerno
Trapani
1
1
46%
(1.73)
X
33%
(3.34)
2
21%
(4.31)
1X
79%
(1.16)
X2
54%
(1.92)
12
67%
(1.22)
France
Strasbourg
Paris FC
1
1
45%
(1.76)
X
34%
(3.89)
2
21%
(4.58)
1X
79%
(1.18)
X2
55%
(2.03)
12
66%
(1.25)
Ecuador
Guayaquil City
Barcelona Guayaquil
2
1
21%
(3.98)
X
26%
(3.29)
2
53%
(1.87)
1X
47%
(1.83)
X2
79%
(1.19)
12
74%
(1.29)
Luxembourg
Kaerjeng Un
UNA Strassen
2
1
23%
(5.19)
X
21%
(3.64)
2
56%
(1.55)
1X
44%
(2.21)
X2
77%
(1.12)
12
79%
(1.21)
Mexico
Tigres UANL
Queretaro
1
1
49%
(1.36)
X
29%
(4.87)
2
21%
(7.5)
1X
79%
(1.07)
X2
51%
(2.95)
12
71%
(1.15)
Moldova
Milsami Orhei
FC Balti
1
1
47%
(1.58)
X
32%
(3.77)
2
21%
(4.87)
1X
79%
(1.14)
X2
53%
(2.17)
12
68%
(1.2)
China
Henan FC
Yunnan Yukun
1
1
49%
(1.75)
X
30%
(3.94)
2
21%
(4)
1X
79%
(1.21)
X2
51%
(1.98)
12
70%
(1.22)
Czech Republic
Sparta Prague
FC Slovacko
1
1
46%
(1.25)
X
32%
(5.4)
2
21%
(10.6)
1X
79%
(1.03)
X2
54%
(3.64)
12
68%
(1.12)
Peru
Universitario de Deportes
Universidad de Cajamarca
1
1
41%
(1.23)
X
37%
(5.39)
2
22%
(10.6)
1X
78%
(1.04)
X2
59%
(3.73)
12
63%
(1.12)
Italy
Virtus Verona
Renate
2
1
22%
(3.46)
X
27%
(3.09)
2
51%
(2)
1X
49%
(1.66)
X2
78%
(1.21)
12
73%
(1.29)
Serbia
IMT New Belgrade
Crvena zvezda Belgrade
2
1
22%
(14.3)
X
24%
(6.46)
2
54%
(1.14)
1X
46%
(4.56)
X2
78%
(1.02)
12
76%
(1.07)
Czech Republic
FC Vlasim
Dynamo Ceske Budejovice
1
1
50%
(1.71)
X
29%
(3.5)
2
22%
(4.19)
1X
78%
(1.17)
X2
50%
(1.94)
12
71%
(1.23)
England
Manchester United
Aston Villa
1
1
44%
(1.69)
X
34%
(4.22)
2
22%
(4.66)
1X
78%
(1.18)
X2
56%
(2.15)
12
66%
(1.22)
Albania
Vora FK
Partizani Tirana
2
1
22%
(2.97)
X
24%
(3.02)
2
55%
(2.27)
1X
45%
(1.53)
X2
78%
(1.3)
12
77%
(1.3)
Czech Republic
Slovan Liberec
Teplice
1
1
44%
(1.75)
X
34%
(3.45)
2
22%
(4.62)
1X
78%
(1.16)
X2
56%
(1.96)
12
66%
(1.27)
China
Chengdu Rongcheng
Qingdao Hainiu
1
1
50%
(1.24)
X
28%
(5.94)
2
22%
(10.08)
1X
78%
(1.04)
X2
50%
(3.75)
12
72%
(1.11)
Albania
Dinamo City
Teuta Durres
1
1
44%
(1.77)
X
34%
(3.24)
2
22%
(4.3)
1X
78%
(1.15)
X2
56%
(1.83)
12
66%
(1.28)
USA
Real Salt Lake
Austin FC
1
1
47%
(1.77)
X
31%
(3.76)
2
22%
(4.38)
1X
78%
(1.19)
X2
53%
(2.02)
12
69%
(1.24)
Netherlands
Twente
FC Utrecht
1
1
49%
(1.56)
X
29%
(4.25)
2
22%
(5.42)
1X
78%
(1.13)
X2
51%
(2.37)
12
71%
(1.21)
Italy
Audace Cerignola
Sorrento
1
1
44%
(1.58)
X
34%
(3.62)
2
22%
(4.99)
1X
78%
(1.12)
X2
56%
(2.15)
12
66%
(1.2)
Turkey
Genclerbirligi
Besiktas
2
1
22%
(5.11)
X
24%
(4.1)
2
54%
(1.61)
1X
47%
(2.26)
X2
78%
(1.15)
12
76%
(1.22)
Greece
Atromitos Athens
AEK Athens
2
1
22%
(6.35)
X
26%
(4)
2
52%
(1.5)
1X
48%
(2.46)
X2
78%
(1.09)
12
74%
(1.21)
Italy
Lumezzane
Pro Patria
1
1
42%
(1.71)
X
35%
(3.37)
2
23%
(4.37)
1X
78%
(1.14)
X2
58%
(1.94)
12
65%
(1.24)
Slovakia
Slovan Bratislava
MSK Zilina
1
1
47%
(1.54)
X
30%
(4.19)
2
23%
(4.75)
1X
78%
(1.13)
X2
53%
(2.25)
12
70%
(1.17)
Brazil
Palmeiras SP
Mirassol SP
1
1
41%
(1.59)
X
37%
(4.07)
2
23%
(5.35)
1X
78%
(1.15)
X2
59%
(2.31)
12
63%
(1.22)
Taiwan
Taichung Futuro
Tainan City
2
1
23%
(3.17)
X
25%
(3.31)
2
52%
(2)
1X
48%
(1.67)
X2
78%
(1.29)
12
75%
(1.26)
Norway
Aalesunds
Lillestrom
2
1
23%
(3.52)
X
28%
(3.84)
2
50%
(1.91)
1X
50%
(1.83)
X2
77%
(1.27)
12
72%
(1.24)
South Korea
Jeju SK
FC Seoul
2
1
23%
(3.41)
X
26%
(3.22)
2
51%
(2.09)
1X
49%
(1.67)
X2
77%
(1.27)
12
74%
(1.3)
France
Le Havre
Lyonnais
2
1
23%
(3.72)
X
25%
(3.41)
2
52%
(2.06)
1X
48%
(1.75)
X2
77%
(1.25)
12
75%
(1.3)
Germany
Verl
Schweinfurt 05
1
1
46%
(1.23)
X
31%
(6.03)
2
23%
(9.05)
1X
77%
(1.04)
X2
54%
(3.68)
12
69%
(1.08)
Slovakia
Slovan Bratislava B
Dukla Banska Bystrica
2
1
23%
(5.19)
X
25%
(3.97)
2
52%
(1.52)
1X
48%
(2.37)
X2
77%
(1.11)
12
75%
(1.18)
Spain
Granada CF
FC Andorra
1
1
44%
(1.8)
X
33%
(3.46)
2
23%
(4.19)
1X
77%
(1.19)
X2
56%
(1.91)
12
67%
(1.27)
Switzerland
Luzern
Winterthur
1
1
47%
(1.35)
X
30%
(5.19)
2
23%
(6.91)
1X
77%
(1.08)
X2
53%
(3.06)
12
70%
(1.13)
Italy
Team Altamura
Catania
2
1
27%
(5.76)
X
24%
(3.46)
2
49%
(1.54)
1X
51%
(2.21)
X2
73%
(1.08)
12
77%
(1.22)
Australia
Melbourne Victory
Macarthur FC
1
1
47%
(1.77)
X
29%
(3.96)
2
24%
(4.06)
1X
76%
(1.21)
X2
53%
(1.97)
12
71%
(1.21)
Luxembourg
Jeunesse Canach
F91 Dudelange
2
1
24%
(4.99)
X
26%
(3.65)
2
50%
(1.57)
1X
50%
(2.17)
X2
76%
(1.12)
12
74%
(1.2)
Montenegro
Jedinstvo Bijelo Polje
OFK Petrovac
2
1
24%
(3.47)
X
30%
(3.03)
2
46%
(2.02)
1X
54%
(1.67)
X2
76%
(1.25)
12
70%
(1.3)
Luxembourg
US Hostert
Progres Niedercorn
2
1
24%
(3.52)
X
28%
(3.3)
2
47%
(1.89)
1X
53%
(1.74)
X2
76%
(1.23)
12
72%
(1.24)
France
Metz
Toulouse
2
1
27%
(4)
X
25%
(3.39)
2
49%
(1.99)
1X
51%
(1.81)
X2
73%
(1.22)
12
76%
(1.3)
Singapore
Geylang International
Albirex Niigata SIN
2
1
25%
(4.08)
X
25%
(4.15)
2
51%
(1.61)
1X
49%
(2.06)
X2
75%
(1.18)
12
75%
(1.17)
Poland
Arka Gdynia
Widzew Lodz
2
1
29%
(3.3)
X
25%
(3.24)
2
46%
(2.16)
1X
54%
(1.63)
X2
71%
(1.29)
12
75%
(1.31)
Scotland
Saint Mirren
Rangers
2
1
25%
(5.51)
X
26%
(4.07)
2
50%
(1.56)
1X
50%
(2.32)
X2
75%
(1.13)
12
74%
(1.21)
Honduras
Genesis PN
Olimpia Tegucigalpa
2
1
26%
(4.18)
X
25%
(3.62)
2
49%
(1.67)
1X
51%
(2)
X2
74%
(1.16)
12
75%
(1.21)
Spain
Cordoba
Real Sociedad B
1
1
43%
(1.59)
X
32%
(4.06)
2
25%
(4.77)
1X
75%
(1.15)
X2
57%
(2.22)
12
68%
(1.21)
Norway
Kristiansund
Brann Bergen
2
1
27%
(4.97)
X
25%
(4.24)
2
48%
(1.58)
1X
53%
(2.28)
X2
73%
(1.15)
12
75%
(1.2)
Netherlands
Feyenoord
Excelsior
1
1
48%
(1.28)
X
27%
(5.84)
2
25%
(9.28)
1X
75%
(1.05)
X2
53%
(3.55)
12
73%
(1.12)
Poland
Zaglebie Lubin
Lech Poznan
2
1
25%
(3.55)
X
32%
(3.41)
2
43%
(2)
1X
57%
(1.73)
X2
75%
(1.26)
12
68%
(1.28)
Bulgaria
Ludogorets Razgrad II
Fratria Varna
2
1
25%
(2.88)
X
28%
(3.23)
2
47%
(2.19)
1X
53%
(1.52)
X2
75%
(1.3)
12
72%
(1.25)
Colombia
Jaguares de Cordoba
Independiente Medellin
2
1
25%
(3.73)
X
29%
(3.11)
2
46%
(2.03)
1X
54%
(1.7)
X2
75%
(1.24)
12
71%
(1.32)
Malta
Tarxien Rainbows
Zabbar St. Patrick
2
1
30%
(3.56)
X
25%
(3.36)
2
45%
(1.88)
1X
56%
(1.81)
X2
70%
(1.24)
12
75%
(1.23)
Costa Rica
Cartagines
Deportivo Saprissa
2
1
25%
(2.95)
X
26%
(3.1)
2
49%
(2.21)
1X
51%
(1.56)
X2
75%
(1.31)
12
74%
(1.3)
Slovakia
Slavia TU Kosice
Tatran Liptovsky Mikulas
2
1
27%
(3.78)
X
26%
(3.92)
2
47%
(1.7)
1X
53%
(1.95)
X2
73%
(1.19)
12
74%
(1.19)
Portugal
AVS Futebol SAD
Santa Clara
2
1
26%
(4.44)
X
29%
(3.36)
2
45%
(1.88)
1X
56%
(1.91)
X2
74%
(1.18)
12
71%
(1.3)
Poland
GKS Tychy
Slask Wroclaw
2
1
27%
(3.12)
X
27%
(3.57)
2
46%
(2)
1X
54%
(1.7)
X2
73%
(1.27)
12
73%
(1.24)
Indonesia
Borneo Samarinda
Persib Bandung
1
1
42%
(2.79)
X
31%
(3.05)
2
27%
(2.36)
1X
73%
(1.49)
X2
58%
(1.34)
12
69%
(1.31)
Mexico
Dorados de Sinaloa
Leones Negros UdeG
2
1
28%
(2.85)
X
27%
(3.37)
2
45%
(2.19)
1X
55%
(1.57)
X2
72%
(1.35)
12
73%
(1.26)
Russia
Rubin Kazan
Lokomotiv Moskva
2
1
27%
(3.32)
X
28%
(3.35)
2
46%
(2.3)
1X
54%
(1.65)
X2
73%
(1.34)
12
72%
(1.34)
Belgium
Mechelen
Anderlecht
2
1
31%
(3.11)
X
28%
(3.51)
2
41%
(2.15)
1X
59%
(1.64)
X2
69%
(1.33)
12
73%
(1.27)
France
Rennais
Lille
1
1
40%
(2.23)
X
31%
(3.4)
2
29%
(3.3)
1X
71%
(1.32)
X2
60%
(1.64)
12
69%
(1.3)
Faroe Islands
B68 Toftir
Skala IF
1
1
36%
(2.39)
X
32%
(3.5)
2
31%
(2.46)
1X
69%
(1.43)
X2
64%
(1.47)
12
68%
(1.23)
Norway
KFUM Oslo
Start Kristiansand
1
1
35%
(1.86)
X
32%
(3.69)
2
33%
(3.87)
1X
67%
(1.23)
X2
65%
(1.88)
12
68%
(1.25)


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.