Updated on March 22, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Andorra
Inter Club d'Escaldes
Esperanca d'Andorra
1
1
68%
(1.05)
X
21%
(9.9)
2
11%
(22.67)
1X
89%
(1.02)
X2
32%
(4.83)
12
79%
(1.03)
Thailand
Buriram United
Muangthong United
1
1
69%
(1.15)
X
19%
(6.85)
2
11%
(12.4)
1X
89%
(1.02)
X2
31%
(4.47)
12
81%
(1.06)
Spain
Barcelona
Rayo Vallecano
1
1
64%
(1.25)
X
23%
(6.9)
2
13%
(10.72)
1X
87%
(1.04)
X2
36%
(4.04)
12
77%
(1.1)
Andorra
Atletic Club d'Escaldes
FC Ordino
1
1
59%
(1.44)
X
28%
(3.97)
2
13%
(6.02)
1X
87%
(1.06)
X2
41%
(2.37)
12
72%
(1.16)
Bosnia and Herzegovina
FK Sarajevo
Velez Mostar
1
1
53%
(1.67)
X
33%
(3.22)
2
14%
(4.85)
1X
86%
(1.13)
X2
47%
(1.95)
12
67%
(1.26)
Italy
Como
Pisa 1909
1
1
61%
(1.27)
X
24%
(5.69)
2
15%
(12.22)
1X
85%
(1.03)
X2
39%
(3.75)
12
76%
(1.12)
Italy
Roma
Lecce
1
1
54%
(1.49)
X
31%
(4.14)
2
15%
(7.47)
1X
85%
(1.08)
X2
46%
(2.61)
12
69%
(1.21)
San Marino
SS Virtus
FC Domagnano
1
1
57%
(1.37)
X
28%
(4.22)
2
15%
(6.98)
1X
85%
(1.06)
X2
43%
(2.7)
12
72%
(1.16)
Turkey
Istanbulspor
Bodrum FK
2
1
15%
(2.89)
X
18%
(3.6)
2
67%
(2.05)
1X
33%
(1.61)
X2
85%
(1.32)
12
82%
(1.21)
Andorra
CE Carroi
UE Santa Coloma
2
1
15%
(20)
X
16%
(8.75)
2
69%
(1.07)
1X
31%
(5.78)
X2
85%
(1.01)
12
84%
(1.03)
Greece
AEK Athens
Kifisia
1
1
57%
(1.14)
X
28%
(7.5)
2
15%
(17.38)
1X
85%
(1.03)
X2
43%
(5.23)
12
72%
(1.08)
Turkey
Hatayspor
Amed SFK
2
1
16%
(17.5)
X
17%
(9.43)
2
68%
(1.07)
1X
32%
(6.4)
X2
85%
(1.02)
12
84%
(1.05)
Luxembourg
US Mondorf-les-Bains
Jeunesse Canach
1
1
59%
(1.5)
X
26%
(3.71)
2
16%
(5.74)
1X
84%
(1.09)
X2
41%
(2.28)
12
74%
(1.2)
Argentina
Boca Juniors
Instituto AC Cordoba
1
1
52%
(1.74)
X
33%
(3.29)
2
16%
(5.28)
1X
84%
(1.14)
X2
48%
(2.02)
12
67%
(1.3)
Bulgaria
CSKA Sofia
Dobrudzha Dobrich
1
1
49%
(1.18)
X
35%
(5.87)
2
16%
(13.64)
1X
84%
(1.02)
X2
51%
(4.08)
12
65%
(1.1)
South Korea
Gyeongnam FC
Gimpo FC
2
1
16%
(3.57)
X
17%
(3.24)
2
67%
(1.92)
1X
33%
(1.72)
X2
84%
(1.22)
12
83%
(1.26)
Poland
Stal Mielec
Wieczysta Krakow
2
1
16%
(3.49)
X
18%
(3.68)
2
66%
(1.84)
1X
34%
(1.79)
X2
84%
(1.23)
12
82%
(1.22)
San Marino
SP Tre Penne
SS Folgore Falciano
1
1
57%
(1.51)
X
27%
(3.88)
2
16%
(5.1)
1X
84%
(1.13)
X2
43%
(2.25)
12
73%
(1.2)
Austria
TSV Hartberg
Austria Wien
2
1
16%
(3.09)
X
17%
(3.25)
2
67%
(2.28)
1X
33%
(1.58)
X2
84%
(1.33)
12
83%
(1.3)
Japan
Renofa Yamaguchi
Giravanz Kitakyushu
1
1
56%
(1.71)
X
27%
(3.5)
2
16%
(4.37)
1X
84%
(1.16)
X2
44%
(1.97)
12
73%
(1.22)
Ukraine
Inhulets Petrove
Podillya Khmelnytskyi
1
1
51%
(1.8)
X
33%
(3.2)
2
16%
(4.17)
1X
84%
(1.18)
X2
49%
(1.87)
12
67%
(1.28)
Vietnam
SHB Da Nang
Cong An Ha Noi
2
1
16%
(5.7)
X
20%
(4.18)
2
64%
(1.44)
1X
36%
(2.51)
X2
84%
(1.09)
12
80%
(1.17)
El Salvador
FAS Santa Ana
Fuerte San Francisco
1
1
55%
(1.26)
X
28%
(5.06)
2
17%
(8.28)
1X
83%
(1.04)
X2
45%
(3.25)
12
72%
(1.11)
Estonia
Harju JK Laagri
Flora Tallinn
2
1
17%
(5.93)
X
21%
(4.46)
2
62%
(1.39)
1X
38%
(2.65)
X2
83%
(1.09)
12
79%
(1.13)
Russia
Ural Sverdlovskaya Oblast
Yenisey Krasnoyarsk
1
1
47%
(1.65)
X
36%
(3.65)
2
17%
(5.33)
1X
83%
(1.14)
X2
53%
(2.14)
12
64%
(1.24)
Slovenia
NK Celje
NK Primorje Ajdovscina
1
1
62%
(1.33)
X
21%
(4.96)
2
17%
(6.74)
1X
83%
(1.06)
X2
38%
(2.86)
12
79%
(1.12)
South Africa
TS Galaxy
Orlando Pirates
2
1
17%
(6.11)
X
21%
(3.6)
2
62%
(1.52)
1X
38%
(2.32)
X2
83%
(1.09)
12
79%
(1.22)
Italy
Atalanta
Verona
1
1
52%
(1.4)
X
31%
(4.68)
2
17%
(8.55)
1X
83%
(1.07)
X2
48%
(2.92)
12
69%
(1.18)
Mexico
Jaiba Brava
Tlaxcala
1
1
56%
(1.59)
X
27%
(3.68)
2
18%
(4.84)
1X
83%
(1.13)
X2
45%
(2.16)
12
73%
(1.22)
San Marino
AC Juvenes Dogana
San Marino Academy
1
1
51%
(1.73)
X
32%
(3.17)
2
18%
(4.52)
1X
82%
(1.14)
X2
49%
(1.96)
12
68%
(1.26)
Greece
Aris Thessaloniki
OFI Crete
1
1
51%
(1.65)
X
31%
(3.68)
2
18%
(5.02)
1X
82%
(1.13)
X2
49%
(2.14)
12
69%
(1.24)
Italy
Fiorentina
Inter
2
1
18%
(5.03)
X
23%
(4.07)
2
59%
(1.67)
1X
41%
(2.21)
X2
82%
(1.16)
12
77%
(1.23)
Portugal
Estoril Praia
Rio Ave
1
1
52%
(1.77)
X
30%
(3.9)
2
18%
(4.31)
1X
82%
(1.2)
X2
48%
(2)
12
71%
(1.24)
Honduras
Marathon San Pedro
Victoria La Ceiba
1
1
50%
(1.23)
X
31%
(5.08)
2
18%
(10.01)
1X
82%
(1.03)
X2
50%
(3.51)
12
69%
(1.1)
Spain
Real Murcia
Tarazona
1
1
42%
(1.76)
X
40%
(3.1)
2
19%
(4.68)
1X
82%
(1.13)
X2
58%
(1.93)
12
60%
(1.31)
USA
FC Cincinnati
CF Montreal
1
1
58%
(1.69)
X
23%
(4.01)
2
19%
(4.62)
1X
81%
(1.17)
X2
42%
(2.11)
12
77%
(1.23)
USA
Vancouver Whitecaps
San Jose Earthquakes
1
1
56%
(1.57)
X
26%
(4.19)
2
19%
(5.42)
1X
81%
(1.13)
X2
44%
(2.36)
12
74%
(1.21)
Brazil
Gremio Novorizontino SP
Londrina PR
1
1
49%
(1.63)
X
33%
(3.53)
2
19%
(5.38)
1X
81%
(1.13)
X2
51%
(2.16)
12
67%
(1.27)
Belgium
Club Brugge
Mechelen
1
1
42%
(1.25)
X
39%
(6.19)
2
19%
(9.57)
1X
81%
(1.04)
X2
58%
(3.72)
12
61%
(1.1)
Brazil
Internacional RS
Chapecoense SC
1
1
49%
(1.43)
X
32%
(4.56)
2
19%
(6.83)
1X
81%
(1.1)
X2
51%
(2.73)
12
68%
(1.18)
Poland
Lech Poznan
Termalica Nieciecza
1
1
49%
(1.4)
X
32%
(4.88)
2
19%
(6.33)
1X
81%
(1.09)
X2
51%
(2.79)
12
68%
(1.14)
Italy
Cavese 1919
Foggia
1
1
48%
(1.63)
X
33%
(3.41)
2
19%
(4.82)
1X
81%
(1.1)
X2
52%
(2.06)
12
67%
(1.24)
Brazil
Cruzeiro MG
Santos SP
1
1
48%
(1.72)
X
33%
(3.7)
2
19%
(4.77)
1X
81%
(1.18)
X2
52%
(2.07)
12
67%
(1.26)
Armenia
Noah
Shirak
1
1
52%
(1.12)
X
29%
(6.94)
2
19%
(13.7)
1X
81%
(1.02)
X2
48%
(4.73)
12
71%
(1.05)
Greece
Olympiacos Piraeus
AEL Larissa
1
1
44%
(1.16)
X
37%
(6.92)
2
19%
(15.9)
1X
81%
(1.03)
X2
56%
(5.03)
12
64%
(1.09)
Netherlands
De Graafschap
ADO Den Haag
2
1
19%
(2.9)
X
25%
(3.8)
2
55%
(2.11)
1X
45%
(1.64)
X2
81%
(1.36)
12
75%
(1.23)
Russia
FC Orenburg
Spartak Moskva
2
1
20%
(4.14)
X
25%
(3.94)
2
56%
(1.85)
1X
44%
(2)
X2
81%
(1.23)
12
76%
(1.27)
Venezuela
Portuguesa Acarigua
Rayo Zuliano
1
1
51%
(1.54)
X
30%
(3.71)
2
20%
(5.2)
1X
80%
(1.12)
X2
49%
(2.16)
12
70%
(1.21)
Switzerland
Winterthur
Basel
2
1
20%
(4.29)
X
22%
(4.24)
2
58%
(1.67)
1X
42%
(2.12)
X2
80%
(1.18)
12
78%
(1.2)
Italy
Pro Patria
Lecco
2
1
20%
(3.52)
X
21%
(3.13)
2
60%
(1.98)
1X
41%
(1.68)
X2
80%
(1.21)
12
79%
(1.29)
Ukraine
Probiy Horodenka
Metalist Kharkov
2
1
20%
(3.31)
X
23%
(3.17)
2
58%
(2)
1X
42%
(1.69)
X2
80%
(1.27)
12
77%
(1.3)
Russia
Lokomotiv Moskva
Akron Tolyatti
1
1
50%
(1.51)
X
31%
(4.72)
2
20%
(6.13)
1X
80%
(1.14)
X2
51%
(2.62)
12
70%
(1.2)
Scotland
Dundee United
Celtic
2
1
20%
(5.8)
X
23%
(4.69)
2
57%
(1.46)
1X
43%
(2.59)
X2
80%
(1.11)
12
77%
(1.16)
Venezuela
Deportivo Tachira
Estudiantes de Merida
1
1
45%
(1.38)
X
35%
(4.24)
2
20%
(6.6)
1X
80%
(1.08)
X2
55%
(2.55)
12
65%
(1.16)
Spain
Tenerife
Osasuna B
1
1
44%
(1.22)
X
36%
(5.15)
2
20%
(11.85)
1X
80%
(1.03)
X2
56%
(3.66)
12
64%
(1.11)
Greece
Asteras Tripolis
Panathinaikos
2
1
20%
(4.94)
X
26%
(3.39)
2
54%
(1.74)
1X
46%
(2.01)
X2
80%
(1.14)
12
75%
(1.29)
Italy
Inter U23
Dolomiti Bellunesi
1
1
45%
(1.63)
X
34%
(3.49)
2
21%
(4.73)
1X
80%
(1.12)
X2
55%
(2.05)
12
66%
(1.21)
Ukraine
Karpaty Lviv
Obolon Kiev
1
1
41%
(1.65)
X
39%
(3.5)
2
21%
(5.15)
1X
80%
(1.13)
X2
59%
(2.11)
12
61%
(1.25)
Bosnia and Herzegovina
Zrinjski Mostar
Rudar Prijedor
1
1
43%
(1.23)
X
36%
(4.94)
2
21%
(10.15)
1X
79%
(1.03)
X2
57%
(3.42)
12
64%
(1.12)
Ecuador
LDU de Quito
Manta FC
1
1
41%
(1.23)
X
39%
(5.54)
2
21%
(9.97)
1X
79%
(1.04)
X2
59%
(3.48)
12
61%
(1.12)
Portugal
Alverca
Sporting CP
2
1
21%
(9.35)
X
21%
(5.53)
2
58%
(1.3)
1X
42%
(3.39)
X2
79%
(1.05)
12
79%
(1.13)
Netherlands
Telstar Velsen
PSV Eindhoven
2
1
21%
(5.23)
X
23%
(4.94)
2
56%
(1.51)
1X
44%
(2.55)
X2
79%
(1.14)
12
77%
(1.17)
Italy
Cosenza
Latina
1
1
40%
(1.76)
X
39%
(3.2)
2
21%
(4.37)
1X
79%
(1.13)
X2
60%
(1.88)
12
61%
(1.28)
Italy
Audace Cerignola
Giugliano
1
1
46%
(1.7)
X
33%
(3.49)
2
21%
(4.16)
1X
79%
(1.15)
X2
54%
(1.95)
12
67%
(1.23)
Estonia
FCI Levadia Tallinn
Paide Linnameeskond
1
1
51%
(1.75)
X
28%
(3.57)
2
21%
(3.83)
1X
79%
(1.18)
X2
49%
(1.9)
12
72%
(1.23)
Ecuador
Tecnico Universitario
Independiente del Valle
2
1
22%
(5.48)
X
23%
(3.28)
2
56%
(1.66)
1X
44%
(2.04)
X2
79%
(1.13)
12
78%
(1.27)
France
Rennais
Metz
1
1
43%
(1.33)
X
35%
(5.48)
2
22%
(8.82)
1X
78%
(1.06)
X2
57%
(3.3)
12
65%
(1.14)
Japan
Tokyo Verdy
FC Tokyo
2
1
22%
(3.89)
X
28%
(3.16)
2
50%
(1.97)
1X
50%
(1.73)
X2
78%
(1.22)
12
72%
(1.31)
Peru
Universidad de Cajamarca
Alianza Atletico
1
1
42%
(1.78)
X
36%
(3.26)
2
22%
(4.44)
1X
78%
(1.15)
X2
58%
(1.93)
12
64%
(1.29)
Greece
Volos FC
PAOK Thessaloniki
2
1
22%
(11.84)
X
25%
(5.43)
2
53%
(1.24)
1X
47%
(3.74)
X2
78%
(1.03)
12
75%
(1.13)
Luxembourg
Progres Niedercorn
Kaerjeng Un
1
1
50%
(1.75)
X
28%
(3.47)
2
22%
(3.96)
1X
78%
(1.19)
X2
50%
(1.9)
12
72%
(1.23)
England
Newcastle
Sunderland
1
1
45%
(1.68)
X
32%
(3.96)
2
22%
(5.11)
1X
78%
(1.16)
X2
55%
(2.17)
12
68%
(1.24)
Netherlands
NEC Nijmegen
Heerenveen
1
1
54%
(1.68)
X
23%
(4.37)
2
22%
(4.3)
1X
78%
(1.2)
X2
46%
(2.16)
12
77%
(1.2)
Netherlands
FC Utrecht
Go Ahead Eagles
1
1
47%
(1.69)
X
31%
(3.84)
2
23%
(4.89)
1X
78%
(1.16)
X2
53%
(2.16)
12
69%
(1.24)
Belgium
Dender
KAA Gent
2
1
25%
(3.26)
X
23%
(3.58)
2
52%
(2.07)
1X
48%
(1.69)
X2
75%
(1.31)
12
77%
(1.27)
Brazil
Goias GO
America MG
1
1
43%
(1.79)
X
34%
(3.32)
2
23%
(4.47)
1X
77%
(1.18)
X2
57%
(1.92)
12
66%
(1.29)
Brazil
Corinthians SP
Flamengo RJ
2
1
23%
(3.39)
X
30%
(3.16)
2
47%
(2.21)
1X
53%
(1.64)
X2
77%
(1.31)
12
70%
(1.34)
Luxembourg
Victoria Rosport
Racing FC Union
2
1
23%
(4.4)
X
29%
(3.25)
2
48%
(1.74)
1X
52%
(1.91)
X2
77%
(1.15)
12
71%
(1.26)
Germany
Augsburg
Stuttgart
2
1
23%
(3.36)
X
23%
(3.85)
2
53%
(2.07)
1X
47%
(1.74)
X2
77%
(1.32)
12
77%
(1.26)
Hungary
Kisvarda
Ferencvarosi
2
1
23%
(4.88)
X
26%
(3.84)
2
50%
(1.58)
1X
50%
(2.16)
X2
77%
(1.14)
12
74%
(1.2)
Russia
Dinamo Moskva
Zenit Sankt Peterburg
2
1
24%
(3.13)
X
28%
(3.44)
2
49%
(2.34)
1X
51%
(1.63)
X2
77%
(1.38)
12
72%
(1.32)
France
Nantes
Strasbourg
2
1
27%
(3.69)
X
24%
(3.61)
2
50%
(2.01)
1X
51%
(1.79)
X2
73%
(1.26)
12
76%
(1.28)
Netherlands
MVV Maastricht
Willem II Tilburg
2
1
31%
(4.48)
X
24%
(4.38)
2
45%
(1.59)
1X
55%
(2.24)
X2
69%
(1.17)
12
76%
(1.19)
Belarus
Belshina
Dinamo Brest
2
1
30%
(5.63)
X
24%
(3.75)
2
46%
(1.52)
1X
54%
(2.34)
X2
70%
(1.1)
12
76%
(1.23)
Italy
Sorrento
Crotone
2
1
24%
(4.02)
X
25%
(3.28)
2
51%
(1.78)
1X
50%
(1.8)
X2
76%
(1.18)
12
75%
(1.26)
Hungary
Kazincbarcikai SC
Gyori ETO
2
1
25%
(7.16)
X
24%
(4.72)
2
51%
(1.35)
1X
49%
(2.88)
X2
75%
(1.07)
12
76%
(1.14)
Japan
Shimizu S-Pulse
Sanfrecce Hiroshima
2
1
25%
(4.06)
X
29%
(3.65)
2
46%
(1.79)
1X
54%
(1.94)
X2
76%
(1.19)
12
71%
(1.25)
Croatia
HNK Gorica
HNK Rijeka
2
1
27%
(3.07)
X
25%
(3.05)
2
48%
(2.27)
1X
52%
(1.54)
X2
73%
(1.3)
12
75%
(1.31)
Belgium
Saint Truiden
Union Saint-Gilloise
2
1
33%
(3.56)
X
25%
(3.16)
2
42%
(2.12)
1X
58%
(1.68)
X2
67%
(1.26)
12
75%
(1.32)
Japan
Montedio Yamagata
Vegalta Sendai
2
1
26%
(3.31)
X
25%
(3.26)
2
49%
(2.02)
1X
51%
(1.67)
X2
74%
(1.27)
12
75%
(1.25)
Ukraine
Metalurg Zaporozhye
Vorskla Poltava
2
1
25%
(4.8)
X
27%
(3.15)
2
48%
(1.73)
1X
53%
(2.01)
X2
75%
(1.16)
12
73%
(1.3)
South Korea
Gangwon FC
Jeju SK
1
1
40%
(1.8)
X
35%
(3.37)
2
26%
(4.32)
1X
75%
(1.18)
X2
60%
(1.92)
12
65%
(1.28)
Paraguay
Sportivo San Lorenzo
Nacional Asuncion
2
1
26%
(3.96)
X
26%
(3.23)
2
49%
(1.89)
1X
51%
(1.82)
X2
74%
(1.2)
12
75%
(1.28)
Australia
Perth Glory
Melbourne City
2
1
26%
(3.9)
X
29%
(3.52)
2
45%
(1.91)
1X
55%
(1.82)
X2
74%
(1.23)
12
71%
(1.26)
Austria
Kapfenberg
SKU Amstetten
2
1
26%
(4)
X
29%
(3.85)
2
45%
(1.73)
1X
55%
(1.95)
X2
74%
(1.19)
12
72%
(1.21)
Japan
Cerezo Osaka
Vissel Kobe
2
1
27%
(3.11)
X
27%
(3.42)
2
47%
(2.13)
1X
53%
(1.65)
X2
74%
(1.31)
12
73%
(1.27)
Belarus
Naftan Novopolotsk
Dnepr Mogilev
2
1
30%
(3.8)
X
27%
(3.25)
2
43%
(1.89)
1X
57%
(1.81)
X2
70%
(1.22)
12
74%
(1.3)
South Korea
FC Seoul
Gwangju FC
1
1
40%
(1.61)
X
32%
(3.73)
2
28%
(5.33)
1X
73%
(1.13)
X2
60%
(2.2)
12
68%
(1.23)
Romania
Hermannstadt
FC Botosani
1
1
38%
(2.43)
X
33%
(3.03)
2
29%
(2.88)
1X
71%
(1.36)
X2
62%
(1.5)
12
67%
(1.33)
Belgium
RAAL La Louviere
Genk
2
1
29%
(3.32)
X
30%
(3.54)
2
40%
(2.06)
1X
60%
(1.7)
X2
71%
(1.3)
12
70%
(1.27)
Denmark
AGF Aarhus
Brondby
1
1
39%
(1.69)
X
31%
(3.83)
2
30%
(4.53)
1X
71%
(1.17)
X2
61%
(2.08)
12
69%
(1.24)
Thailand
Chiangrai United FC
Port Bangkok
2
1
30%
(3.73)
X
30%
(3.55)
2
40%
(1.79)
1X
60%
(1.86)
X2
70%
(1.21)
12
70%
(1.23)
Portugal
Benfica B
Farense
1
1
37%
(2.28)
X
33%
(3.21)
2
30%
(2.79)
1X
70%
(1.35)
X2
63%
(1.51)
12
67%
(1.28)
Mexico
Leones Negros UdeG
Mineros de Zacatecas
1
1
35%
(2.2)
X
32%
(3.34)
2
33%
(2.83)
1X
67%
(1.35)
X2
65%
(1.57)
12
68%
(1.26)
Spain
Celta Vigo
Deportivo Alaves
1
1
34%
(1.93)
X
34%
(3.31)
2
32%
(4.47)
1X
68%
(1.2)
X2
66%
(1.86)
12
66%
(1.31)


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.