Updated on February 22, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Ukraine
Shakhtar Donetsk
Karpaty Lviv
1
1
67%
(1.21)
X
23%
(5.68)
2
10%
(12.15)
1X
90%
(1.03)
X2
33%
(3.94)
12
77%
(1.11)
Kuwait
Kuwait SC Kaifan
Al Shabab SC Kuwait
1
1
68%
(1.11)
X
22%
(7.51)
2
10%
(16.6)
1X
90%
(1.02)
X2
32%
(5.36)
12
78%
(1.05)
Andorra
UE Santa Coloma
FC Ordino
1
1
66%
(1.28)
X
23%
(4.7)
2
11%
(8.95)
1X
89%
(1.03)
X2
34%
(3.14)
12
77%
(1.11)
Singapore
Lion City Sailors
Tampines Rovers
1
1
74%
(1.54)
X
14%
(4.09)
2
13%
(4.79)
1X
87%
(1.14)
X2
26%
(2.29)
12
87%
(1.18)
Indonesia
Persib Bandung
Persita Tangerang
1
1
53%
(1.25)
X
34%
(4.6)
2
13%
(10.13)
1X
87%
(1.02)
X2
47%
(3.4)
12
66%
(1.14)
Turkey
Bodrum FK
Manisa FK
1
1
63%
(1.63)
X
23%
(3.78)
2
13%
(4.43)
1X
87%
(1.16)
X2
37%
(2.07)
12
77%
(1.21)
Italy
Catania
Giugliano
1
1
54%
(1.27)
X
33%
(4.68)
2
13%
(8.97)
1X
87%
(1.03)
X2
46%
(3.21)
12
67%
(1.11)
England
Sheffield United
Sheffield Wednesday
1
1
58%
(1.14)
X
28%
(7.95)
2
15%
(15.75)
1X
85%
(1.03)
X2
42%
(5.09)
12
73%
(1.07)
Andorra
Penya Encarnada
CE Carroi
1
1
63%
(1.72)
X
23%
(3.36)
2
15%
(4.31)
1X
85%
(1.14)
X2
37%
(1.89)
12
77%
(1.22)
Cyprus
Omonia Aradippou
AEK Larnaca
2
1
15%
(4.97)
X
18%
(3.62)
2
68%
(1.58)
1X
33%
(2.17)
X2
85%
(1.12)
12
82%
(1.22)
Turkey
Erzurumspor
Serikspor
1
1
59%
(1.13)
X
26%
(6.54)
2
15%
(14.17)
1X
85%
(1.02)
X2
41%
(4.73)
12
74%
(1.07)
San Marino
SS Cosmos
San Marino Academy
1
1
57%
(1.45)
X
28%
(4.05)
2
15%
(5.75)
1X
85%
(1.1)
X2
43%
(2.43)
12
72%
(1.18)
Italy
Roma
Cremonese
1
1
57%
(1.35)
X
28%
(4.91)
2
15%
(9.84)
1X
85%
(1.05)
X2
44%
(3.2)
12
72%
(1.17)
Spain
Sabadell
Atletico Sanluqueno
1
1
52%
(1.28)
X
33%
(4.34)
2
15%
(10.21)
1X
85%
(1.03)
X2
48%
(3.15)
12
67%
(1.15)
Bulgaria
Fratria Varna
Marek Dupnitsa
1
1
52%
(1.28)
X
32%
(4.48)
2
16%
(9.33)
1X
84%
(1.04)
X2
48%
(3.11)
12
68%
(1.14)
Serbia
Crvena zvezda Belgrade
Partizan Belgrade
1
1
50%
(1.4)
X
34%
(4.55)
2
16%
(5.89)
1X
84%
(1.1)
X2
50%
(2.62)
12
66%
(1.15)
Portugal
Porto
Rio Ave
1
1
55%
(1.11)
X
29%
(9.48)
2
16%
(20.83)
1X
84%
(1.01)
X2
45%
(6.23)
12
71%
(1.06)
Ecuador
Independiente del Valle
Guayaquil City
1
1
54%
(1.21)
X
30%
(5.52)
2
16%
(12.67)
1X
84%
(1.03)
X2
46%
(3.93)
12
70%
(1.11)
Andorra
Esperanca d'Andorra
FC Ranger's
2
1
17%
(24.33)
X
16%
(8.53)
2
67%
(1.06)
1X
33%
(5.47)
X2
83%
(1.01)
12
84%
(1.02)
Scotland
Celtic
Hibernian
1
1
52%
(1.44)
X
32%
(4.69)
2
17%
(6.25)
1X
83%
(1.11)
X2
48%
(2.67)
12
68%
(1.17)
Mexico
Leon
Santos Laguna
1
1
56%
(1.61)
X
27%
(4.12)
2
17%
(4.84)
1X
83%
(1.16)
X2
44%
(2.21)
12
73%
(1.2)
El Salvador
Luis Angel Firpo
Hercules San Salvador
1
1
55%
(1.3)
X
28%
(4.85)
2
17%
(7.77)
1X
83%
(1.05)
X2
45%
(3.03)
12
72%
(1.13)
Turkey
Corum
Umraniyespor
1
1
51%
(1.45)
X
32%
(4.13)
2
17%
(5.73)
1X
83%
(1.1)
X2
49%
(2.43)
12
68%
(1.17)
Morocco
Raja Casablanca
IR Tanger
1
1
46%
(1.41)
X
37%
(3.93)
2
17%
(7.03)
1X
83%
(1.07)
X2
54%
(2.61)
12
63%
(1.2)
Kuwait
Al Nasr SC Kuwait
Al Fahaheel FC
2
1
17%
(2.96)
X
22%
(3.18)
2
60%
(2.19)
1X
40%
(1.56)
X2
83%
(1.33)
12
78%
(1.26)
Argentina
Chaco For Ever
San Telmo
1
1
49%
(1.77)
X
34%
(3.04)
2
17%
(5.06)
1X
83%
(1.13)
X2
51%
(1.89)
12
66%
(1.33)
Slovenia
NK Maribor
Bravo Ljubljana
1
1
56%
(1.56)
X
27%
(3.92)
2
17%
(4.8)
1X
83%
(1.12)
X2
44%
(2.22)
12
73%
(1.19)
Honduras
Platense FC
Juticalpa FC
1
1
53%
(1.59)
X
30%
(3.74)
2
17%
(4.66)
1X
83%
(1.13)
X2
47%
(2.12)
12
71%
(1.2)
Spain
Villarreal
Valencia
1
1
59%
(1.71)
X
24%
(3.94)
2
17%
(4.8)
1X
83%
(1.17)
X2
41%
(2.12)
12
77%
(1.24)
Italy
Milan
Parma
1
1
47%
(1.36)
X
36%
(4.96)
2
17%
(8.93)
1X
83%
(1.06)
X2
53%
(3.1)
12
64%
(1.17)
San Marino
FC Domagnano
SS Murata
1
1
53%
(1.17)
X
30%
(6.12)
2
17%
(11.33)
1X
83%
(1.02)
X2
47%
(4.1)
12
70%
(1.08)
Greece
AEK Athens
Levadiakos
1
1
47%
(1.47)
X
36%
(4.15)
2
17%
(6.59)
1X
83%
(1.1)
X2
53%
(2.56)
12
64%
(1.21)
Morocco
RSB Berkane
FUS Rabat
1
1
46%
(1.59)
X
37%
(3.5)
2
18%
(5.27)
1X
82%
(1.12)
X2
54%
(2.19)
12
63%
(1.26)
Ecuador
Universidad Catolica Quito
Emelec Guayaquil
1
1
48%
(1.57)
X
34%
(3.77)
2
18%
(5.23)
1X
82%
(1.14)
X2
52%
(2.23)
12
66%
(1.22)
Switzerland
Vaduz
Neuchatel Xamax
1
1
55%
(1.58)
X
28%
(4.01)
2
18%
(4.54)
1X
82%
(1.14)
X2
46%
(2.24)
12
72%
(1.19)
Spain
Barcelona
Levante
1
1
57%
(1.11)
X
26%
(11.38)
2
18%
(18.42)
1X
82%
(1.02)
X2
44%
(6.71)
12
74%
(1.05)
Netherlands
FC Utrecht
FC Zwolle
1
1
59%
(1.64)
X
24%
(4.01)
2
18%
(5.04)
1X
82%
(1.16)
X2
41%
(2.22)
12
76%
(1.23)
Qatar
Al-Wakrah SC
Al-Sadd SC Doha
2
1
18%
(4.83)
X
22%
(4.34)
2
60%
(1.5)
1X
40%
(2.3)
X2
82%
(1.13)
12
78%
(1.15)
UAE
Baniyas SC
Al-Ain FC
2
1
19%
(6.2)
X
18%
(4.77)
2
63%
(1.36)
1X
37%
(2.7)
X2
81%
(1.08)
12
82%
(1.14)
Argentina
Argentinos Juniors
Lanus
1
1
42%
(1.7)
X
39%
(3.38)
2
19%
(5.53)
1X
81%
(1.14)
X2
58%
(2.07)
12
61%
(1.29)
Italy
Team Altamura
Benevento
2
1
19%
(5.92)
X
24%
(3.63)
2
58%
(1.5)
1X
42%
(2.28)
X2
81%
(1.08)
12
76%
(1.21)
Luxembourg
Rodange 91
Differdange FC
2
1
19%
(11.9)
X
25%
(5.95)
2
56%
(1.17)
1X
44%
(4.06)
X2
81%
(1.03)
12
75%
(1.09)
Japan
Roasso Kumamoto
Giravanz Kitakyushu
1
1
53%
(1.69)
X
28%
(3.66)
2
19%
(4.28)
1X
81%
(1.17)
X2
47%
(1.99)
12
72%
(1.21)
Peru
Atletico Grau
Juan Pablo II College
1
1
52%
(1.63)
X
29%
(3.46)
2
19%
(5.33)
1X
81%
(1.12)
X2
48%
(2.17)
12
71%
(1.27)
Greece
Aris Thessaloniki
Kifisia
1
1
45%
(1.76)
X
37%
(3.41)
2
19%
(4.74)
1X
81%
(1.16)
X2
55%
(1.99)
12
64%
(1.29)
Uruguay
Penarol Montevideo
Deportivo Maldonado
1
1
57%
(1.49)
X
25%
(3.83)
2
19%
(6.02)
1X
81%
(1.1)
X2
43%
(2.41)
12
76%
(1.21)
Ukraine
Kolos Kovalivka
Polissya Zhytomyr
2
1
19%
(4.46)
X
27%
(2.99)
2
55%
(1.91)
1X
46%
(1.83)
X2
81%
(1.18)
12
73%
(1.35)
Malta
Floriana
Hibernians
1
1
48%
(1.51)
X
34%
(3.94)
2
19%
(4.96)
1X
81%
(1.11)
X2
52%
(2.29)
12
67%
(1.19)
Peru
Cusco FC
Comerciantes Unidos
1
1
49%
(1.35)
X
32%
(4.57)
2
19%
(7.74)
1X
81%
(1.07)
X2
51%
(2.89)
12
68%
(1.17)
Italy
Salernitana
Monopoli 1966
1
1
49%
(1.63)
X
32%
(3.3)
2
19%
(4.96)
1X
81%
(1.11)
X2
51%
(2)
12
68%
(1.25)
Peru
Cienciano
Alianza Atletico
1
1
50%
(1.31)
X
31%
(4.73)
2
19%
(8.93)
1X
81%
(1.06)
X2
50%
(3.11)
12
70%
(1.16)
Mexico
Club Tijuana
Mazatlan
1
1
48%
(1.43)
X
33%
(4.51)
2
19%
(6.53)
1X
81%
(1.1)
X2
52%
(2.62)
12
67%
(1.17)
Israel
Hapoel Beer Sheva
Hapoel Haifa
1
1
50%
(1.17)
X
31%
(6.6)
2
19%
(11.5)
1X
81%
(1.03)
X2
50%
(4.32)
12
69%
(1.08)
El Salvador
Inter FA Santa Tecla
Aguila San Miguel
2
1
20%
(3.05)
X
24%
(3.12)
2
56%
(2.16)
1X
44%
(1.58)
X2
81%
(1.31)
12
76%
(1.27)
Italy
Union Brescia
Pro Patria
1
1
49%
(1.28)
X
32%
(4.58)
2
20%
(9.41)
1X
81%
(1.03)
X2
51%
(3.04)
12
68%
(1.13)
Guatemala
Deportivo Mictlan
Marquense
1
1
41%
(1.63)
X
39%
(3.31)
2
20%
(4.98)
1X
80%
(1.12)
X2
59%
(2.06)
12
61%
(1.25)
Belgium
Genk
Standard Liege
1
1
51%
(1.5)
X
30%
(4.15)
2
20%
(6.12)
1X
80%
(1.11)
X2
49%
(2.48)
12
70%
(1.2)
Italy
Crotone
Foggia
1
1
45%
(1.38)
X
35%
(4.1)
2
20%
(6.88)
1X
80%
(1.05)
X2
55%
(2.62)
12
65%
(1.16)
Netherlands
Go Ahead Eagles
Heracles Almelo
1
1
52%
(1.77)
X
29%
(3.89)
2
20%
(4.25)
1X
80%
(1.21)
X2
48%
(2)
12
71%
(1.25)
Bosnia and Herzegovina
Zrinjski Mostar
Siroki Brijeg
1
1
42%
(1.37)
X
38%
(4.08)
2
20%
(7.68)
1X
80%
(1.05)
X2
58%
(2.76)
12
62%
(1.17)
Thailand
Bangkok United
Muangthong United
1
1
49%
(1.35)
X
31%
(4.53)
2
20%
(6.25)
1X
80%
(1.07)
X2
51%
(2.74)
12
69%
(1.14)
Malaysia
Kuala Lumpur City
Brunei DPMM FC
1
1
56%
(1.3)
X
25%
(5.01)
2
20%
(7.29)
1X
80%
(1.05)
X2
45%
(3.13)
12
76%
(1.11)
Denmark
Silkeborg
FC Midtjylland
2
1
20%
(5.78)
X
25%
(4.8)
2
55%
(1.45)
1X
45%
(2.62)
X2
80%
(1.11)
12
75%
(1.16)
Portugal
Felgueiras 1932
Penafiel
1
1
41%
(1.75)
X
39%
(3.32)
2
20%
(4.32)
1X
80%
(1.17)
X2
59%
(1.93)
12
61%
(1.26)
England
Tottenham
Arsenal
2
1
25%
(6.34)
X
20%
(4.16)
2
55%
(1.55)
1X
45%
(2.47)
X2
75%
(1.11)
12
80%
(1.21)
Japan
Tokushima Vortis
Kataller Toyama
1
1
47%
(1.55)
X
33%
(3.82)
2
20%
(5.14)
1X
80%
(1.12)
X2
53%
(2.24)
12
67%
(1.19)
Czech Republic
Bohemians 1905 Prague
Dukla Prague
1
1
47%
(1.67)
X
33%
(3.48)
2
20%
(4.99)
1X
80%
(1.14)
X2
53%
(2.08)
12
67%
(1.27)
Bulgaria
Lokomotiv Sofia
Septemvri Sofia
1
1
45%
(1.59)
X
34%
(3.65)
2
20%
(5.5)
1X
80%
(1.12)
X2
55%
(2.2)
12
66%
(1.24)
USA
D.C. United
Philadelphia Union
2
1
20%
(3.1)
X
24%
(3.6)
2
56%
(2.18)
1X
44%
(1.66)
X2
80%
(1.34)
12
76%
(1.28)
Germany
Hannover
Dynamo Dresden
1
1
49%
(1.48)
X
31%
(4.48)
2
21%
(6.02)
1X
80%
(1.11)
X2
51%
(2.55)
12
69%
(1.18)
Romania
Unirea Slobozia
Universitatea Craiova
2
1
21%
(7.06)
X
22%
(4.19)
2
57%
(1.43)
1X
43%
(2.67)
X2
79%
(1.07)
12
78%
(1.19)
Australia
Central Coast Mariners
Western Sydney Wanderers
2
1
21%
(4.13)
X
24%
(3.92)
2
55%
(1.76)
1X
45%
(1.98)
X2
79%
(1.21)
12
76%
(1.22)
Turkey
Besiktas
Goztepe
1
1
45%
(1.74)
X
34%
(3.67)
2
21%
(4.59)
1X
79%
(1.19)
X2
55%
(2.02)
12
66%
(1.26)
Azerbaijan
Sabah Baku
Kapaz Ganja
1
1
48%
(1.23)
X
31%
(5.15)
2
21%
(10.37)
1X
79%
(1.03)
X2
53%
(3.49)
12
69%
(1.11)
Czech Republic
Banik Ostrava
Mlada Boleslav
1
1
48%
(1.69)
X
31%
(3.83)
2
21%
(4.37)
1X
79%
(1.18)
X2
52%
(2.05)
12
69%
(1.22)
Turkey
Bandirmaspor
Hatayspor
1
1
48%
(1.09)
X
31%
(8.47)
2
21%
(16.42)
1X
79%
(1.02)
X2
52%
(5.83)
12
69%
(1.05)
Turkey
Gaziantep FK
Trabzonspor
2
1
21%
(3.47)
X
26%
(3.65)
2
53%
(1.99)
1X
48%
(1.77)
X2
79%
(1.3)
12
74%
(1.27)
Nicaragua
Diriangen
Managua FC
1
1
47%
(1.72)
X
32%
(3.22)
2
21%
(4.58)
1X
79%
(1.14)
X2
53%
(1.94)
12
68%
(1.27)
Luxembourg
Victoria Rosport
Progres Niedercorn
2
1
21%
(4.09)
X
26%
(3.47)
2
53%
(1.74)
1X
47%
(1.87)
X2
79%
(1.18)
12
74%
(1.22)
Qatar
Al-Rayyan SC
Al-Ahli SC Doha
1
1
52%
(1.42)
X
26%
(4.54)
2
21%
(5.45)
1X
79%
(1.1)
X2
48%
(2.52)
12
74%
(1.14)
England
Nottingham
Liverpool
2
1
22%
(4.09)
X
24%
(3.95)
2
55%
(1.83)
1X
45%
(1.96)
X2
79%
(1.23)
12
77%
(1.24)
Spain
Barakaldo
Osasuna B
1
1
42%
(1.59)
X
36%
(3.51)
2
22%
(5)
1X
78%
(1.1)
X2
58%
(2.13)
12
64%
(1.23)
Serbia
Spartak Subotica
Radnicki 1923
2
1
24%
(3.64)
X
22%
(3.28)
2
54%
(1.93)
1X
46%
(1.76)
X2
76%
(1.25)
12
78%
(1.28)
Scotland
Livingston
Rangers
2
1
22%
(8.58)
X
22%
(5.12)
2
56%
(1.32)
1X
44%
(3.21)
X2
78%
(1.06)
12
78%
(1.15)
Belgium
Patro Eisden Maasmechelen
SK Beveren
2
1
22%
(3.39)
X
28%
(3.17)
2
51%
(2.02)
1X
49%
(1.68)
X2
78%
(1.27)
12
72%
(1.29)
Greece
AEL Larissa
PAOK Thessaloniki
2
1
22%
(8.5)
X
23%
(4.43)
2
55%
(1.37)
1X
45%
(2.91)
X2
78%
(1.06)
12
77%
(1.18)
El Salvador
Cacahuatique
FAS Santa Ana
2
1
22%
(3.91)
X
24%
(3.17)
2
54%
(1.86)
1X
46%
(1.78)
X2
78%
(1.2)
12
76%
(1.27)
Albania
KF Tirana
Teuta Durres
2
1
22%
(3.05)
X
24%
(2.89)
2
54%
(2.28)
1X
46%
(1.5)
X2
78%
(1.29)
12
76%
(1.33)
Turkey
Fatih Karagumruk
Samsunspor
2
1
22%
(3.37)
X
24%
(3.29)
2
54%
(2.16)
1X
46%
(1.66)
X2
78%
(1.31)
12
76%
(1.32)
El Salvador
Platense Zacatecoluca
Isidro Metapan
2
1
29%
(3.33)
X
22%
(2.94)
2
49%
(2.11)
1X
52%
(1.61)
X2
71%
(1.27)
12
78%
(1.31)
India
Bengaluru FC
NorthEast United
1
1
44%
(1.77)
X
34%
(3.63)
2
22%
(3.97)
1X
78%
(1.19)
X2
56%
(1.94)
12
66%
(1.23)
Italy
Pontedera
Ascoli
2
1
22%
(5.28)
X
24%
(3.55)
2
53%
(1.56)
1X
47%
(2.19)
X2
78%
(1.09)
12
76%
(1.24)
Chile
Universidad de Chile
Deportes Limache
1
1
44%
(1.51)
X
33%
(4.16)
2
22%
(5.53)
1X
78%
(1.12)
X2
56%
(2.38)
12
67%
(1.19)
Thailand
Ayutthaya United
BG Pathum United
2
1
24%
(2.96)
X
22%
(3.37)
2
53%
(2.07)
1X
47%
(1.61)
X2
76%
(1.3)
12
78%
(1.24)
Switzerland
Lugano
Lausanne
1
1
47%
(1.77)
X
31%
(3.82)
2
22%
(4.14)
1X
78%
(1.2)
X2
53%
(1.97)
12
69%
(1.23)
USA
Vancouver Whitecaps
Real Salt Lake
1
1
50%
(1.56)
X
28%
(4.3)
2
23%
(5.36)
1X
78%
(1.14)
X2
50%
(2.35)
12
72%
(1.2)
Slovakia
MFK Ruzomberok
Slovan Bratislava
2
1
23%
(4.8)
X
23%
(3.9)
2
54%
(1.59)
1X
46%
(2.22)
X2
77%
(1.12)
12
77%
(1.23)
Japan
Cerezo Osaka
Sanfrecce Hiroshima
2
1
23%
(3.68)
X
25%
(3.63)
2
52%
(1.9)
1X
48%
(1.8)
X2
77%
(1.25)
12
75%
(1.26)
Croatia
NK Varazdin
Dinamo Zagreb
2
1
23%
(4.97)
X
23%
(3.83)
2
54%
(1.58)
1X
46%
(2.2)
X2
77%
(1.13)
12
77%
(1.21)
Denmark
Randers FC
Fredericia
1
1
49%
(1.63)
X
28%
(3.92)
2
23%
(4.92)
1X
77%
(1.15)
X2
51%
(2.18)
12
72%
(1.23)
Bulgaria
Beroe Stara Zagora
Arda Kardzhali
2
1
26%
(4.22)
X
23%
(3.19)
2
50%
(1.88)
1X
50%
(1.83)
X2
74%
(1.19)
12
77%
(1.3)
Slovenia
NK Aluminij Kidricevo
NK Celje
2
1
27%
(5.81)
X
23%
(4.24)
2
50%
(1.44)
1X
50%
(2.5)
X2
73%
(1.08)
12
77%
(1.17)
Luxembourg
Union Titus Petange
UNA Strassen
2
1
28%
(3.82)
X
23%
(3.87)
2
49%
(1.7)
1X
51%
(1.94)
X2
72%
(1.2)
12
77%
(1.2)
Germany
Heidenheim
Stuttgart
2
1
23%
(4.49)
X
25%
(4.19)
2
52%
(1.71)
1X
48%
(2.11)
X2
77%
(1.2)
12
76%
(1.22)
France
Angers
Lille
2
1
23%
(4.35)
X
23%
(3.51)
2
53%
(1.87)
1X
47%
(1.9)
X2
77%
(1.2)
12
77%
(1.29)
Malaysia
Sabah FC
Johor Darul Takzim
2
1
24%
(17.38)
X
26%
(9.35)
2
50%
(1.07)
1X
50%
(6.39)
X2
76%
(1.01)
12
74%
(1.04)
Poland
Slask Wroclaw
Odra Opole
1
1
46%
(1.72)
X
31%
(3.62)
2
24%
(4.2)
1X
76%
(1.17)
X2
55%
(2)
12
69%
(1.25)
Mexico
Necaxa
Deportivo Toluca
2
1
28%
(4.47)
X
24%
(3.84)
2
48%
(1.71)
1X
52%
(2.03)
X2
72%
(1.18)
12
76%
(1.23)
England
Crystal Palace
Wolverhampton
1
1
42%
(1.71)
X
35%
(3.91)
2
24%
(4.93)
1X
76%
(1.17)
X2
58%
(2.12)
12
65%
(1.25)
San Marino
SC Faetano
SS Virtus
2
1
24%
(18.67)
X
25%
(8.22)
2
51%
(1.08)
1X
49%
(6.13)
X2
76%
(1.01)
12
75%
(1.04)
USA
San Diego FC
CF Montreal
1
1
46%
(1.51)
X
30%
(4.46)
2
24%
(5.71)
1X
76%
(1.12)
X2
54%
(2.46)
12
70%
(1.19)
Japan
Kamatamare Sanuki
Albirex Niigata
2
1
24%
(4.19)
X
25%
(3.91)
2
51%
(1.66)
1X
49%
(2.05)
X2
76%
(1.18)
12
75%
(1.19)
Japan
Tochigi SC
Vegalta Sendai
2
1
24%
(4.11)
X
26%
(3.33)
2
50%
(1.8)
1X
50%
(1.82)
X2
76%
(1.18)
12
74%
(1.27)
Belgium
Zulte Waregem
Anderlecht
2
1
29%
(2.97)
X
24%
(3.41)
2
47%
(2.25)
1X
53%
(1.59)
X2
71%
(1.36)
12
76%
(1.28)
USA
San Jose Earthquakes
Sporting Kansas City
1
1
47%
(1.74)
X
29%
(4.18)
2
24%
(4.06)
1X
76%
(1.22)
X2
54%
(2.04)
12
71%
(1.21)
Germany
Erzgebirge Aue
Energie Cottbus
2
1
24%
(2.94)
X
27%
(3.54)
2
49%
(2.14)
1X
51%
(1.61)
X2
76%
(1.33)
12
73%
(1.24)
Poland
Polonia Bytom
Pogon Siedlce
1
1
50%
(1.66)
X
26%
(3.76)
2
24%
(4.36)
1X
76%
(1.17)
X2
50%
(2.02)
12
74%
(1.22)
Guatemala
Municipal
Antigua GFC
1
1
46%
(1.68)
X
29%
(3.2)
2
25%
(4.83)
1X
75%
(1.13)
X2
54%
(1.98)
12
71%
(1.26)
Hungary
Paksi
Gyori ETO
2
1
26%
(2.8)
X
25%
(3.58)
2
50%
(2.14)
1X
50%
(1.6)
X2
74%
(1.36)
12
75%
(1.23)
Netherlands
Feyenoord
Telstar Velsen
1
1
42%
(1.22)
X
32%
(6.54)
2
25%
(11.65)
1X
75%
(1.03)
X2
58%
(4.15)
12
68%
(1.1)
USA
Nashville SC
New England Revolution
1
1
44%
(1.65)
X
31%
(4.11)
2
25%
(4.67)
1X
75%
(1.18)
X2
57%
(2.18)
12
69%
(1.22)
Japan
Gifu
Iwaki FC
2
1
26%
(3.6)
X
27%
(3.83)
2
47%
(1.78)
1X
53%
(1.89)
X2
74%
(1.22)
12
73%
(1.2)
Greece
OFI Crete
Panathinaikos
2
1
26%
(4)
X
31%
(3.38)
2
42%
(1.9)
1X
58%
(1.84)
X2
74%
(1.21)
12
69%
(1.29)
Czech Republic
Teplice
Sigma Olomouc
1
1
38%
(2.84)
X
35%
(2.9)
2
27%
(2.57)
1X
73%
(1.46)
X2
62%
(1.37)
12
65%
(1.36)
India
Kerala Blasters
Mumbai City
2
1
29%
(3.39)
X
28%
(3.29)
2
43%
(2)
1X
57%
(1.68)
X2
71%
(1.27)
12
72%
(1.28)
Argentina
Central Cordoba
Tigre Victoria
2
1
31%
(3.53)
X
28%
(2.67)
2
40%
(2.44)
1X
60%
(1.53)
X2
69%
(1.27)
12
72%
(1.43)
Portugal
Portimonense
Academico de Viseu
2
1
28%
(4.02)
X
29%
(3.37)
2
43%
(1.78)
1X
57%
(1.89)
X2
72%
(1.19)
12
71%
(1.27)
Switzerland
Wil
Lausanne-Ouchy
2
1
30%
(3.21)
X
29%
(3.39)
2
41%
(1.99)
1X
59%
(1.67)
X2
70%
(1.27)
12
71%
(1.25)
Spain
Racing Santander
Burgos CF
1
1
38%
(1.91)
X
33%
(3.25)
2
30%
(4)
1X
70%
(1.21)
X2
62%
(1.8)
12
67%
(1.31)
Denmark
AGF Aarhus
Viborg
1
1
40%
(1.7)
X
30%
(3.92)
2
30%
(4.38)
1X
70%
(1.18)
X2
60%
(2.07)
12
70%
(1.23)
Switzerland
Sion
Young Boys
1
1
37%
(2.39)
X
31%
(3.51)
2
32%
(2.71)
1X
68%
(1.43)
X2
64%
(1.53)
12
69%
(1.26)
Germany
Freiburg
Borussia M'gladbach
1
1
35%
(1.99)
X
34%
(3.35)
2
32%
(4.06)
1X
69%
(1.23)
X2
65%
(1.81)
12
66%
(1.31)
Serbia
Radnicki Nis
IMT New Belgrade
1
1
34%
(2)
X
32%
(3.23)
2
34%
(3.37)
1X
66%
(1.27)
X2
66%
(1.68)
12
68%
(1.28)
Chile
Audax Italiano
Everton Vina del Mar
1
1
34%
(2.16)
X
33%
(3.09)
2
33%
(3.31)
1X
67%
(1.28)
X2
66%
(1.62)
12
67%
(1.32)


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.