Updated on March 14, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Turkey
Pendikspor
Istanbulspor
1
1
67%
(1.66)
X
23%
(3.68)
2
10%
(4.27)
1X
90%
(1.14)
X2
33%
(2.01)
12
77%
(1.2)
Argentina
Deportivo Moron
Chaco For Ever
1
1
61%
(1.77)
X
29%
(2.96)
2
10%
(5.15)
1X
90%
(1.13)
X2
39%
(1.88)
12
71%
(1.33)
Italy
Inter
Atalanta
1
1
62%
(1.54)
X
26%
(4.5)
2
12%
(5.77)
1X
88%
(1.13)
X2
39%
(2.46)
12
74%
(1.19)
Japan
Omiya Ardija
Fujieda MYFC
1
1
62%
(1.5)
X
25%
(4.1)
2
13%
(5.28)
1X
87%
(1.1)
X2
39%
(2.36)
12
75%
(1.19)
Ukraine
LNZ Cherkasy
PFC Oleksandria
1
1
55%
(1.3)
X
31%
(4.76)
2
14%
(10.56)
1X
86%
(1.04)
X2
45%
(3.34)
12
69%
(1.17)
Estonia
Nomme United
Parnu Vaprus
2
1
14%
(3.3)
X
14%
(3.78)
2
73%
(1.84)
1X
28%
(1.81)
X2
86%
(1.24)
12
86%
(1.22)
Scotland
Hibernian
Livingston
1
1
59%
(1.4)
X
27%
(4.7)
2
14%
(6.83)
1X
86%
(1.08)
X2
41%
(2.79)
12
73%
(1.16)
Germany
Bayer Leverkusen
Bayern Munchen
2
1
15%
(5.21)
X
21%
(4.7)
2
64%
(1.56)
1X
36%
(2.42)
X2
86%
(1.16)
12
79%
(1.18)
Thailand
Buriram United
Chonburi
1
1
62%
(1.18)
X
24%
(5.99)
2
15%
(10.74)
1X
86%
(1.03)
X2
38%
(3.93)
12
76%
(1.08)
Croatia
Dinamo Zagreb
Slaven Belupo
1
1
60%
(1.25)
X
26%
(5.28)
2
15%
(9.52)
1X
85%
(1.03)
X2
40%
(3.47)
12
74%
(1.11)
Tajikistan
Istiklol Dushanbe
Regar-TadAZ Tursunzoda
1
1
56%
(1.57)
X
29%
(3.57)
2
15%
(5.44)
1X
85%
(1.12)
X2
44%
(2.29)
12
71%
(1.25)
Germany
Hoffenheim
Wolfsburg
1
1
63%
(1.44)
X
22%
(5.03)
2
15%
(6.42)
1X
85%
(1.11)
X2
37%
(2.75)
12
78%
(1.17)
Latvia
Riga FC
BFC Daugavpils
1
1
60%
(1.14)
X
25%
(6.81)
2
15%
(12.8)
1X
85%
(1.02)
X2
40%
(4.59)
12
75%
(1.06)
Russia
Fakel Voronezh
Chernomorets Novorossiysk
1
1
56%
(1.46)
X
29%
(3.82)
2
15%
(8.13)
1X
85%
(1.06)
X2
44%
(2.57)
12
71%
(1.23)
Turkey
Galatasaray
Istanbul Basaksehir
1
1
59%
(1.59)
X
26%
(4.34)
2
15%
(4.93)
1X
85%
(1.16)
X2
41%
(2.29)
12
74%
(1.2)
Ukraine
Polissya Zhytomyr
Kryvbas Krivoj Rog
1
1
49%
(1.54)
X
35%
(3.82)
2
16%
(5.86)
1X
85%
(1.12)
X2
51%
(2.34)
12
65%
(1.23)
England
Cambridge United
Gillingham
1
1
49%
(1.6)
X
35%
(3.81)
2
16%
(5.18)
1X
85%
(1.12)
X2
51%
(2.22)
12
65%
(1.22)
Azerbaijan
Imishli FK
Sabah Baku
2
1
16%
(7.21)
X
19%
(3.9)
2
65%
(1.39)
1X
35%
(2.61)
X2
84%
(1.05)
12
81%
(1.18)
Poland
Jagiellonia Bialystok
Piast Gliwice
1
1
61%
(1.77)
X
24%
(3.63)
2
16%
(4.28)
1X
84%
(1.18)
X2
39%
(1.97)
12
77%
(1.25)
Colombia
Atletico Nacional
Llaneros FC
1
1
55%
(1.3)
X
29%
(4.92)
2
16%
(9.44)
1X
84%
(1.04)
X2
45%
(3.23)
12
71%
(1.14)
Russia
Zenit Sankt Peterburg
Spartak Moskva
1
1
54%
(1.76)
X
30%
(3.77)
2
17%
(4.95)
1X
84%
(1.2)
X2
46%
(2.11)
12
70%
(1.28)
Bulgaria
Ludogorets Razgrad
CSKA Sofia
1
1
47%
(1.72)
X
37%
(3.52)
2
17%
(4.52)
1X
83%
(1.16)
X2
53%
(1.97)
12
63%
(1.25)
Argentina
San Miguel
San Telmo
1
1
48%
(1.69)
X
35%
(3.21)
2
17%
(5.26)
1X
83%
(1.11)
X2
52%
(2.03)
12
65%
(1.28)
India
East Bengal Kolkata
Kerala Blasters
1
1
55%
(1.54)
X
28%
(3.84)
2
17%
(5.31)
1X
83%
(1.1)
X2
45%
(2.31)
12
72%
(1.21)
Moldova
Zimbru Chisinau
Dacia Buiucani
1
1
59%
(1.1)
X
24%
(7.2)
2
17%
(15.57)
1X
83%
(1.03)
X2
41%
(4.62)
12
76%
(1.07)
Costa Rica
LD Alajuelense
Perez Zeledon
1
1
46%
(1.41)
X
37%
(4.14)
2
17%
(6.32)
1X
83%
(1.07)
X2
54%
(2.6)
12
63%
(1.18)
Italy
Sampdoria
Venezia
2
1
17%
(4.08)
X
25%
(3.1)
2
58%
(1.96)
1X
42%
(1.81)
X2
83%
(1.2)
12
75%
(1.32)
Saudi Arabia
Al-Khaleej Saihat
Al-Nassr Riyadh
2
1
17%
(7.26)
X
23%
(5.33)
2
60%
(1.32)
1X
40%
(3.11)
X2
83%
(1.07)
12
77%
(1.12)
Bulgaria
Belasitsa Petrich
Dunav Ruse
2
1
17%
(7.45)
X
18%
(4.28)
2
65%
(1.33)
1X
35%
(2.76)
X2
83%
(1.05)
12
83%
(1.16)
Slovenia
NK Maribor
NS Mura
1
1
59%
(1.33)
X
24%
(4.71)
2
17%
(7.08)
1X
83%
(1.05)
X2
41%
(2.86)
12
76%
(1.14)
Spain
Zamora CF
Arenteiro
1
1
44%
(1.76)
X
39%
(3.18)
2
17%
(4.47)
1X
83%
(1.14)
X2
56%
(1.92)
12
61%
(1.29)
Spain
Cartagena
Teruel
1
1
48%
(1.84)
X
35%
(2.93)
2
18%
(4.5)
1X
82%
(1.16)
X2
52%
(1.83)
12
65%
(1.31)
Germany
Borussia Dortmund
Augsburg
1
1
59%
(1.47)
X
23%
(4.85)
2
18%
(6.38)
1X
82%
(1.11)
X2
41%
(2.66)
12
77%
(1.17)
Bosnia and Herzegovina
Posusje
Zrinjski Mostar
2
1
18%
(5.69)
X
18%
(3.32)
2
64%
(1.58)
1X
36%
(2.12)
X2
82%
(1.08)
12
82%
(1.23)
Italy
Vis Pesaro 1898
Ternana
2
1
18%
(3.02)
X
29%
(2.97)
2
53%
(2.26)
1X
47%
(1.53)
X2
82%
(1.28)
12
71%
(1.32)
Luxembourg
Rodange 91
US Mondorf-les-Bains
2
1
18%
(4.27)
X
20%
(4.12)
2
62%
(1.57)
1X
38%
(2.17)
X2
82%
(1.16)
12
80%
(1.18)
Scotland
Celtic
Motherwell
1
1
54%
(1.63)
X
29%
(4.07)
2
18%
(4.77)
1X
82%
(1.16)
X2
46%
(2.19)
12
72%
(1.21)
Portugal
Arouca
Benfica
2
1
18%
(10.83)
X
23%
(5.85)
2
60%
(1.26)
1X
41%
(3.76)
X2
82%
(1.03)
12
77%
(1.12)
Belgium
Club Brugge NXT
SK Beveren
2
1
18%
(6.98)
X
22%
(4.58)
2
60%
(1.34)
1X
40%
(2.85)
X2
82%
(1.06)
12
78%
(1.15)
Northern Ireland
Coleraine
Cliftonville
1
1
55%
(1.49)
X
27%
(4.06)
2
18%
(5.4)
1X
82%
(1.11)
X2
45%
(2.37)
12
73%
(1.18)
Saudi Arabia
Al-Shabab Riyadh
Al-Okhdood
1
1
52%
(1.34)
X
30%
(4.86)
2
18%
(7.39)
1X
82%
(1.06)
X2
48%
(2.93)
12
70%
(1.13)
Spain
Villarreal B
Juventud Torremolinos
1
1
48%
(1.76)
X
34%
(3.24)
2
18%
(4.31)
1X
82%
(1.16)
X2
52%
(1.9)
12
66%
(1.28)
England
Fleetwood
Tranmere Rovers
1
1
51%
(1.72)
X
31%
(3.71)
2
18%
(4.39)
1X
82%
(1.17)
X2
49%
(2)
12
70%
(1.23)
England
Rotherham
Bolton
2
1
18%
(4.16)
X
23%
(3.78)
2
59%
(1.76)
1X
41%
(1.97)
X2
82%
(1.19)
12
77%
(1.24)
Mexico
Correcaminos UAT
Irapuato
2
1
18%
(3.05)
X
19%
(3.39)
2
63%
(2.05)
1X
38%
(1.65)
X2
82%
(1.31)
12
81%
(1.25)
Ecuador
Independiente del Valle
Aucas Quito
1
1
46%
(1.54)
X
36%
(3.86)
2
18%
(5.4)
1X
82%
(1.1)
X2
54%
(2.34)
12
64%
(1.22)
Wales
Pen-y-Bont FC
The New Saints
2
1
19%
(5.81)
X
24%
(4.13)
2
57%
(1.44)
1X
43%
(2.46)
X2
81%
(1.09)
12
76%
(1.16)
Italy
Udinese
Juventus
2
1
19%
(6.05)
X
25%
(4.1)
2
56%
(1.57)
1X
44%
(2.44)
X2
81%
(1.11)
12
75%
(1.22)
Malta
Sliema Wanderers
Gzira United
1
1
44%
(1.75)
X
37%
(3.28)
2
19%
(4.23)
1X
81%
(1.16)
X2
56%
(1.89)
12
63%
(1.25)
Belgium
Kortrijk
Olympic Charleroi
1
1
52%
(1.35)
X
30%
(4.53)
2
19%
(6.93)
1X
81%
(1.06)
X2
49%
(2.8)
12
70%
(1.15)
Japan
Sagan Tosu
Giravanz Kitakyushu
1
1
54%
(1.57)
X
27%
(3.79)
2
19%
(5.17)
1X
81%
(1.11)
X2
46%
(2.2)
12
73%
(1.21)
Portugal
Gil Vicente
Alverca
1
1
50%
(1.72)
X
31%
(3.67)
2
19%
(4.97)
1X
81%
(1.15)
X2
50%
(2.07)
12
69%
(1.26)
Scotland
Inverness
Cove Rangers
1
1
51%
(1.31)
X
30%
(4.73)
2
19%
(7.91)
1X
81%
(1.05)
X2
49%
(3.15)
12
70%
(1.13)
Mexico
Chivas Guadalajara
Santos Laguna
1
1
53%
(1.2)
X
28%
(6.59)
2
19%
(11.02)
1X
81%
(1.03)
X2
47%
(4.14)
12
72%
(1.09)
Scotland
Stranraer
East Kilbride
2
1
19%
(3.69)
X
22%
(3.71)
2
59%
(1.79)
1X
41%
(1.9)
X2
81%
(1.21)
12
78%
(1.23)
Luxembourg
Racing FC Union
Swift Hesperange
1
1
49%
(1.59)
X
32%
(3.63)
2
19%
(4.89)
1X
81%
(1.13)
X2
51%
(2.1)
12
68%
(1.21)
San Marino
SP La Fiorita
SS Pennarossa
1
1
52%
(1.22)
X
29%
(5.32)
2
19%
(11.23)
1X
81%
(1.04)
X2
48%
(3.65)
12
71%
(1.12)
Honduras
Marathon San Pedro
Lobos UPNFM Tegucigalpa
1
1
49%
(1.39)
X
32%
(4.11)
2
19%
(6.64)
1X
81%
(1.06)
X2
51%
(2.57)
12
68%
(1.16)
Italy
Napoli
Lecce
1
1
44%
(1.37)
X
37%
(4.7)
2
19%
(9.83)
1X
81%
(1.05)
X2
56%
(3.11)
12
63%
(1.17)
England
Norwich
Preston
1
1
49%
(1.61)
X
32%
(4.06)
2
19%
(5.03)
1X
81%
(1.14)
X2
51%
(2.25)
12
68%
(1.21)
Germany
Eintracht Frankfurt
Heidenheim
1
1
51%
(1.56)
X
30%
(4.64)
2
19%
(5.48)
1X
81%
(1.15)
X2
50%
(2.42)
12
70%
(1.19)
England
Barnet
Newport County
1
1
41%
(1.35)
X
40%
(4.8)
2
19%
(7.76)
1X
81%
(1.06)
X2
59%
(2.95)
12
60%
(1.15)
Scotland
Kilmarnock
Hearts
2
1
24%
(4.83)
X
19%
(3.84)
2
56%
(1.67)
1X
44%
(2.13)
X2
76%
(1.16)
12
81%
(1.23)
Czech Republic
Zlin
Slavia Prague
2
1
20%
(7.63)
X
28%
(4.33)
2
53%
(1.39)
1X
47%
(2.77)
X2
81%
(1.06)
12
72%
(1.17)
Guatemala
Deportivo Guastatoya
Deportivo Mictlan
1
1
50%
(1.57)
X
31%
(3.49)
2
20%
(5.25)
1X
81%
(1.11)
X2
50%
(2.16)
12
69%
(1.22)
Venezuela
Universidad Central
Estudiantes de Merida
1
1
48%
(1.78)
X
33%
(3.13)
2
20%
(4.39)
1X
80%
(1.15)
X2
52%
(1.88)
12
67%
(1.29)
Bulgaria
Spartak Varna
CSKA 1948 Sofia
2
1
20%
(5.59)
X
21%
(3.92)
2
59%
(1.53)
1X
41%
(2.32)
X2
80%
(1.11)
12
79%
(1.21)
Czech Republic
Dukla Prague
Jablonec
2
1
20%
(4.01)
X
24%
(3.4)
2
57%
(1.88)
1X
43%
(1.85)
X2
80%
(1.2)
12
76%
(1.28)
Peru
Sport Huancayo
ADT Tarma
1
1
51%
(1.77)
X
29%
(3.34)
2
20%
(4.33)
1X
80%
(1.18)
X2
49%
(1.92)
12
71%
(1.26)
Japan
Vegalta Sendai
SC Sagamihara
1
1
43%
(1.52)
X
37%
(3.87)
2
20%
(5.44)
1X
80%
(1.11)
X2
57%
(2.24)
12
63%
(1.2)
England
Swindon
Milton Keynes Dons
2
1
27%
(2.98)
X
20%
(3.37)
2
53%
(2.24)
1X
47%
(1.57)
X2
73%
(1.34)
12
80%
(1.28)
Denmark
Hobro IK
AAB Aalborg
2
1
20%
(3.01)
X
23%
(3.35)
2
58%
(2.16)
1X
43%
(1.62)
X2
80%
(1.33)
12
77%
(1.26)
Russia
SKA-Khabarovsk
Rodina Moskva
2
1
20%
(3.28)
X
27%
(3.06)
2
53%
(2.29)
1X
47%
(1.57)
X2
80%
(1.3)
12
73%
(1.34)
India
Bengaluru FC
Mohun Bagan AC
2
1
20%
(5.86)
X
21%
(3.89)
2
59%
(1.5)
1X
41%
(2.39)
X2
80%
(1.08)
12
79%
(1.2)
San Marino
SC Faetano
AC Juvenes Dogana
2
1
20%
(4.14)
X
26%
(3.43)
2
54%
(1.73)
1X
46%
(1.93)
X2
80%
(1.17)
12
74%
(1.25)
England
Aldershot
York City
2
1
20%
(3.9)
X
26%
(4.05)
2
54%
(1.66)
1X
46%
(2.04)
X2
80%
(1.18)
12
74%
(1.19)
France
Lorient
Lens
2
1
20%
(4.59)
X
24%
(3.8)
2
56%
(1.77)
1X
44%
(2.04)
X2
80%
(1.18)
12
76%
(1.25)
Austria
Sturm Graz II
Austria Lustenau
2
1
20%
(3.13)
X
25%
(3.45)
2
55%
(2.1)
1X
45%
(1.66)
X2
80%
(1.31)
12
75%
(1.27)
Switzerland
Zurich
Sion
2
1
21%
(3)
X
23%
(3.59)
2
57%
(2.19)
1X
43%
(1.63)
X2
80%
(1.34)
12
78%
(1.26)
France
Reims
Rodez AF
1
1
46%
(1.59)
X
34%
(4)
2
21%
(4.98)
1X
79%
(1.14)
X2
54%
(2.26)
12
67%
(1.22)
Slovenia
NK Radomlje
Olimpija Ljubljana
2
1
21%
(3.95)
X
21%
(3.48)
2
59%
(1.79)
1X
41%
(1.87)
X2
79%
(1.18)
12
79%
(1.25)
Japan
Sanfrecce Hiroshima
Gamba Osaka
1
1
52%
(1.63)
X
28%
(3.9)
2
21%
(4.73)
1X
79%
(1.15)
X2
48%
(2.14)
12
72%
(1.22)
Malta
Marsaxlokk
Valletta
2
1
24%
(3.19)
X
21%
(3.02)
2
56%
(2.13)
1X
45%
(1.55)
X2
76%
(1.28)
12
79%
(1.31)
Turkey
Trabzonspor
Caykur Rizespor
1
1
42%
(1.7)
X
37%
(3.97)
2
21%
(4.53)
1X
79%
(1.19)
X2
58%
(2.07)
12
63%
(1.22)
USA
Orlando City
CF Montreal
1
1
57%
(1.77)
X
22%
(4.02)
2
21%
(4.13)
1X
79%
(1.21)
X2
43%
(2)
12
78%
(1.23)
Greece
OFI Crete
Olympiacos Piraeus
2
1
21%
(11)
X
26%
(5.34)
2
53%
(1.25)
1X
47%
(3.71)
X2
79%
(1.03)
12
74%
(1.12)
England
Middlesbrough
Bristol City
1
1
43%
(1.44)
X
37%
(4.61)
2
21%
(6.53)
1X
79%
(1.09)
X2
58%
(2.71)
12
63%
(1.17)
Bulgaria
Botev Plovdiv
Botev Vratsa
1
1
42%
(1.73)
X
37%
(3.43)
2
21%
(4.62)
1X
79%
(1.15)
X2
58%
(1.98)
12
63%
(1.26)
England
Port Vale
Huddersfield
2
1
21%
(3.51)
X
24%
(3.34)
2
55%
(2.04)
1X
45%
(1.7)
X2
79%
(1.25)
12
76%
(1.29)
Albania
Flamurtari Vlore
Elbasani
2
1
21%
(3.08)
X
24%
(3.02)
2
55%
(2.2)
1X
45%
(1.53)
X2
79%
(1.3)
12
76%
(1.31)
Spain
Real Madrid
Elche
1
1
51%
(1.33)
X
28%
(5.78)
2
21%
(8.28)
1X
79%
(1.07)
X2
49%
(3.33)
12
72%
(1.13)
Paraguay
Recoleta
Olimpia Asuncion
2
1
21%
(4.82)
X
31%
(3.6)
2
48%
(1.65)
1X
52%
(2.07)
X2
79%
(1.15)
12
69%
(1.24)
Bosnia and Herzegovina
Rudar Prijedor
Velez Mostar
2
1
21%
(3.26)
X
27%
(2.85)
2
52%
(2.19)
1X
48%
(1.52)
X2
79%
(1.25)
12
73%
(1.3)
Germany
Rot-Weiss Essen
Erzgebirge Aue
1
1
47%
(1.64)
X
32%
(4.05)
2
21%
(4.35)
1X
79%
(1.15)
X2
53%
(2.09)
12
68%
(1.19)
South Korea
Gwangju FC
Jeonbuk Hyundai Motors
2
1
23%
(3.8)
X
21%
(3.24)
2
56%
(1.95)
1X
44%
(1.77)
X2
77%
(1.23)
12
79%
(1.29)
England
Millwall
Blackburn
1
1
43%
(1.77)
X
36%
(3.49)
2
21%
(4.76)
1X
79%
(1.16)
X2
57%
(1.99)
12
64%
(1.28)
Bulgaria
Etar Veliko Tarnovo
Lokomotiv Gorna Oryahovitsa
1
1
44%
(1.77)
X
35%
(3.41)
2
21%
(4.02)
1X
79%
(1.18)
X2
56%
(1.87)
12
65%
(1.23)
Bosnia and Herzegovina
Siroki Brijeg
FK Sarajevo
2
1
21%
(3.2)
X
24%
(3.01)
2
55%
(2.14)
1X
45%
(1.57)
X2
79%
(1.26)
12
76%
(1.29)
Belgium
Union Saint-Gilloise
Dender
1
1
40%
(1.26)
X
39%
(5.42)
2
21%
(10.76)
1X
79%
(1.03)
X2
60%
(3.59)
12
61%
(1.13)
France
Grenoble Foot 38
Saint Etienne
2
1
21%
(4.42)
X
28%
(3.77)
2
51%
(1.72)
1X
49%
(2.05)
X2
79%
(1.18)
12
72%
(1.24)
USA
New York City
Colorado Rapids
1
1
50%
(1.57)
X
29%
(4.18)
2
21%
(5.38)
1X
79%
(1.13)
X2
50%
(2.35)
12
71%
(1.21)
Scotland
Hamilton Academical
Queen of the South
2
1
21%
(3.27)
X
26%
(3.46)
2
53%
(1.95)
1X
47%
(1.71)
X2
79%
(1.28)
12
75%
(1.25)
Switzerland
Lausanne-Ouchy
Stade Nyonnais
1
1
45%
(1.47)
X
34%
(4.28)
2
21%
(5.25)
1X
79%
(1.11)
X2
55%
(2.4)
12
66%
(1.16)
Russia
FC Sochi
FK Krasnodar
2
1
24%
(8.03)
X
21%
(5)
2
55%
(1.41)
1X
45%
(2.97)
X2
76%
(1.09)
12
79%
(1.18)
Serbia
Partizan Belgrade
TSC Backa Topola
1
1
46%
(1.58)
X
33%
(3.87)
2
22%
(4.71)
1X
78%
(1.14)
X2
55%
(2.15)
12
67%
(1.2)
Germany
Eintracht Braunschweig
Fortuna Dusseldorf
2
1
22%
(3.04)
X
26%
(3.44)
2
53%
(2.21)
1X
48%
(1.61)
X2
78%
(1.34)
12
74%
(1.28)
Germany
Havelse
Viktoria Koln
2
1
30%
(3.58)
X
22%
(3.65)
2
49%
(1.87)
1X
51%
(1.8)
X2
70%
(1.23)
12
78%
(1.23)
Saudi Arabia
Al-Fateh SC
Al-Hilal Riyadh
2
1
22%
(8.28)
X
25%
(5.98)
2
53%
(1.26)
1X
47%
(3.45)
X2
78%
(1.05)
12
75%
(1.1)
Norway
Hamarkameratene
Viking Stavanger
2
1
22%
(4.64)
X
23%
(4.18)
2
55%
(1.63)
1X
45%
(2.18)
X2
78%
(1.17)
12
77%
(1.21)
England
Burnley
Bournemouth
2
1
26%
(4.11)
X
22%
(3.9)
2
52%
(1.84)
1X
48%
(1.94)
X2
74%
(1.23)
12
78%
(1.25)
Spain
Atletico Madrid
Getafe
1
1
50%
(1.58)
X
28%
(3.73)
2
23%
(7.3)
1X
78%
(1.09)
X2
50%
(2.4)
12
72%
(1.26)
Azerbaijan
Zira Baku
Qarabag Agdam
2
1
23%
(4.07)
X
25%
(3.2)
2
53%
(1.79)
1X
47%
(1.85)
X2
78%
(1.17)
12
75%
(1.27)
England
Exeter
Cardiff
2
1
23%
(4.13)
X
26%
(3.7)
2
52%
(1.78)
1X
48%
(1.96)
X2
77%
(1.19)
12
74%
(1.24)
France
Monaco
Brest
1
1
44%
(1.67)
X
33%
(4.17)
2
23%
(4.84)
1X
77%
(1.16)
X2
56%
(2.2)
12
67%
(1.22)
Malta
Birkirkara
Floriana
2
1
23%
(5.59)
X
25%
(3.5)
2
52%
(1.55)
1X
48%
(2.29)
X2
77%
(1.09)
12
75%
(1.24)
England
Harrogate Town
Salford City
2
1
23%
(3.92)
X
26%
(3.64)
2
51%
(1.84)
1X
49%
(1.89)
X2
77%
(1.21)
12
74%
(1.24)
Bahrain
Al-Shabab Manama
Al-Ahli Manama
2
1
23%
(3.3)
X
23%
(3.11)
2
54%
(2.02)
1X
46%
(1.64)
X2
77%
(1.25)
12
77%
(1.28)
England
Sheffield Wednesday
Ipswich
2
1
23%
(11.4)
X
23%
(6.14)
2
54%
(1.23)
1X
46%
(3.95)
X2
77%
(1.03)
12
77%
(1.1)
Singapore
Young Lions
Hougang United FC
2
1
23%
(5.44)
X
25%
(4.69)
2
52%
(1.41)
1X
48%
(2.54)
X2
77%
(1.1)
12
75%
(1.14)
England
Scunthorpe
Altrincham
1
1
49%
(1.6)
X
28%
(3.89)
2
23%
(4.45)
1X
77%
(1.15)
X2
51%
(2.14)
12
72%
(1.19)
San Marino
SP Tre Fiori
SS Virtus
2
1
23%
(3.3)
X
25%
(2.91)
2
53%
(2.13)
1X
48%
(1.59)
X2
77%
(1.26)
12
75%
(1.33)
Switzerland
Thun
Grasshopper
1
1
44%
(1.58)
X
33%
(4.04)
2
23%
(5.3)
1X
77%
(1.12)
X2
56%
(2.32)
12
67%
(1.21)
Malaysia
Penang FC
Kuching City
2
1
25%
(4.37)
X
23%
(3.76)
2
52%
(1.63)
1X
48%
(2.08)
X2
75%
(1.16)
12
77%
(1.21)
England
Eastleigh
Rochdale
2
1
24%
(6.2)
X
24%
(4.01)
2
52%
(1.43)
1X
48%
(2.52)
X2
76%
(1.08)
12
76%
(1.18)
England
West Ham
Manchester City
2
1
27%
(4.6)
X
24%
(4.26)
2
50%
(1.7)
1X
50%
(2.14)
X2
74%
(1.19)
12
76%
(1.21)
Scotland
Saint Johnstone
Ross County
1
1
45%
(1.47)
X
32%
(4.05)
2
24%
(5.96)
1X
76%
(1.1)
X2
56%
(2.45)
12
68%
(1.19)
Spain
Cultural Leonesa
Racing Santander
2
1
24%
(3.06)
X
26%
(3.52)
2
51%
(2.11)
1X
49%
(1.65)
X2
76%
(1.32)
12
74%
(1.27)
Norway
Sarpsborg 08
Bodo Glimt
2
1
26%
(4.94)
X
24%
(4.81)
2
50%
(1.51)
1X
50%
(2.45)
X2
74%
(1.15)
12
76%
(1.16)
Belgium
RFC Liege
K Beerschot VA
2
1
24%
(3.22)
X
26%
(3.46)
2
50%
(1.99)
1X
50%
(1.68)
X2
76%
(1.29)
12
74%
(1.25)
England
Halifax
Boreham Wood
2
1
33%
(3.08)
X
24%
(3.47)
2
43%
(2)
1X
57%
(1.69)
X2
67%
(1.28)
12
76%
(1.25)
Serbia
Radnicki Nis
Spartak Subotica
1
1
44%
(1.62)
X
32%
(3.48)
2
24%
(4.94)
1X
76%
(1.13)
X2
56%
(2.09)
12
68%
(1.24)
Netherlands
Heerenveen
Telstar Velsen
1
1
42%
(1.68)
X
33%
(4.22)
2
24%
(4.45)
1X
76%
(1.19)
X2
58%
(2.14)
12
67%
(1.21)
Japan
Tokyo Verdy
Urawa Red Diamonds
2
1
25%
(3.35)
X
26%
(3.03)
2
50%
(2.21)
1X
50%
(1.6)
X2
76%
(1.28)
12
74%
(1.34)
Italy
Ospitaletto
Trento 1921
2
1
25%
(3.32)
X
28%
(3.07)
2
48%
(2.05)
1X
52%
(1.63)
X2
76%
(1.22)
12
72%
(1.29)
Japan
FC Ryukyu
Renofa Yamaguchi
2
1
25%
(3.47)
X
30%
(3.23)
2
46%
(1.99)
1X
54%
(1.7)
X2
75%
(1.25)
12
70%
(1.26)
England
Arsenal
Everton
1
1
43%
(1.38)
X
32%
(4.72)
2
25%
(9.43)
1X
75%
(1.05)
X2
57%
(3.1)
12
68%
(1.18)
Bulgaria
Hebar Pazardzhik
Spartak Pleven
1
1
43%
(1.41)
X
32%
(4.16)
2
25%
(6.12)
1X
75%
(1.08)
X2
57%
(2.51)
12
68%
(1.16)
Slovakia
Redfox FC Stara Lubovna
Pohronie Dolna Zdana
2
1
30%
(3.57)
X
25%
(3.51)
2
45%
(1.86)
1X
55%
(1.83)
X2
70%
(1.24)
12
75%
(1.22)
Uruguay
Albion Montevideo
Penarol Montevideo
2
1
25%
(4.78)
X
25%
(3.37)
2
50%
(1.7)
1X
50%
(1.99)
X2
75%
(1.15)
12
75%
(1.26)
Cyprus
Akritas Chloraka
Pafos FC
2
1
25%
(11.1)
X
25%
(5.67)
2
50%
(1.2)
1X
50%
(3.86)
X2
75%
(1.03)
12
75%
(1.09)
England
Truro City
Hartlepool
2
1
25%
(3.04)
X
26%
(3.23)
2
49%
(2.13)
1X
51%
(1.57)
X2
75%
(1.31)
12
74%
(1.28)
England
Tamworth
Carlisle
2
1
25%
(3.19)
X
30%
(3.43)
2
45%
(1.98)
1X
55%
(1.7)
X2
75%
(1.28)
12
70%
(1.24)
Brazil
Botafogo RJ
Flamengo RJ
2
1
25%
(4.15)
X
26%
(3.41)
2
49%
(1.9)
1X
51%
(1.87)
X2
75%
(1.22)
12
74%
(1.3)
Portugal
Academico de Viseu
Leixoes
1
1
41%
(1.75)
X
34%
(3.4)
2
26%
(4.19)
1X
75%
(1.17)
X2
59%
(1.91)
12
66%
(1.26)
Spain
Atletico Sanluqueno
Eldense
2
1
26%
(4.32)
X
31%
(3.25)
2
43%
(1.77)
1X
57%
(1.91)
X2
74%
(1.17)
12
69%
(1.26)
England
Doncaster
Blackpool
1
1
47%
(1.79)
X
27%
(3.65)
2
26%
(4.13)
1X
74%
(1.2)
X2
53%
(1.92)
12
73%
(1.24)
Netherlands
Ajax Amsterdam
Sparta Rotterdam
1
1
48%
(1.62)
X
27%
(4.27)
2
26%
(4.83)
1X
74%
(1.17)
X2
52%
(2.25)
12
74%
(1.21)
Belgium
Westerlo
Club Brugge
2
1
26%
(4.91)
X
30%
(4.37)
2
44%
(1.57)
1X
56%
(2.29)
X2
74%
(1.16)
12
70%
(1.19)
Netherlands
PSV Eindhoven
NEC Nijmegen
1
1
47%
(1.44)
X
27%
(5.06)
2
26%
(5.94)
1X
74%
(1.12)
X2
53%
(2.73)
12
73%
(1.15)
Colombia
Boyaca Chico
Millonarios Bogota
2
1
27%
(4.75)
X
26%
(3.37)
2
47%
(1.75)
1X
53%
(1.97)
X2
73%
(1.16)
12
74%
(1.29)
Bosnia and Herzegovina
Zeljeznicar Sarajevo
Borac Banja Luka
2
1
31%
(4.14)
X
27%
(3.12)
2
43%
(1.81)
1X
57%
(1.83)
X2
69%
(1.16)
12
74%
(1.28)
Thailand
Rayong FC
BG Pathum United
2
1
27%
(3.04)
X
29%
(3.29)
2
45%
(2.06)
1X
55%
(1.62)
X2
73%
(1.29)
12
71%
(1.25)
Australia
Central Coast Mariners
Adelaide United
2
1
36%
(3.03)
X
27%
(3.72)
2
37%
(2.14)
1X
63%
(1.65)
X2
64%
(1.34)
12
73%
(1.25)
England
Sunderland
Brighton
2
1
27%
(3.56)
X
29%
(3.33)
2
44%
(2.17)
1X
56%
(1.71)
X2
73%
(1.28)
12
71%
(1.31)
Malta
Naxxar Lions
Hibernians
1
1
41%
(2.42)
X
32%
(3.17)
2
27%
(2.57)
1X
73%
(1.37)
X2
59%
(1.47)
12
68%
(1.28)
Tajikistan
Regar-TadAZ Tursunzoda
Istiklol Dushanbe
2
1
27%
(5.44)
X
28%
(3.57)
2
45%
(1.57)
1X
55%
(2.29)
X2
73%
(1.12)
12
72%
(1.25)
Portugal
Pacos Ferreira
Benfica B
2
1
32%
(3)
X
27%
(3.22)
2
41%
(2.17)
1X
59%
(1.58)
X2
68%
(1.31)
12
73%
(1.28)
Spain
Real Zaragoza
Almeria
2
1
28%
(2.99)
X
29%
(3.29)
2
44%
(2.24)
1X
57%
(1.58)
X2
73%
(1.33)
12
71%
(1.29)
India
Gokulam Kerala FC
Sreenidi Deccan FC
1
1
37%
(2.12)
X
28%
(3.56)
2
36%
(2.77)
1X
64%
(1.35)
X2
63%
(1.61)
12
73%
(1.21)
USA
Charlotte FC
Inter Miami
2
1
29%
(3.27)
X
28%
(3.93)
2
44%
(2)
1X
57%
(1.77)
X2
71%
(1.31)
12
72%
(1.23)
Czech Republic
Hradec Kralove
Banik Ostrava
1
1
38%
(2.25)
X
34%
(3.24)
2
28%
(3.05)
1X
72%
(1.33)
X2
62%
(1.58)
12
66%
(1.29)
Japan
Nagoya Grampus
Vissel Kobe
2
1
29%
(3.13)
X
29%
(3.18)
2
42%
(2.24)
1X
58%
(1.59)
X2
71%
(1.3)
12
71%
(1.31)
Greece
Panserraikos
Aris Thessaloniki
2
1
31%
(5.31)
X
29%
(3.5)
2
41%
(1.67)
1X
59%
(2.11)
X2
69%
(1.12)
12
71%
(1.27)
Norway
Molde
Rosenborg
1
1
39%
(1.89)
X
31%
(3.77)
2
31%
(3.65)
1X
69%
(1.25)
X2
61%
(1.84)
12
70%
(1.24)
France
Angers
Nice
1
1
36%
(3.11)
X
31%
(3.23)
2
33%
(2.42)
1X
67%
(1.55)
X2
64%
(1.36)
12
69%
(1.32)
China
Shenzhen Peng City
Tianjin Jinmen Tiger
1
1
34%
(2.57)
X
32%
(3.34)
2
34%
(2.59)
1X
66%
(1.46)
X2
66%
(1.46)
12
68%
(1.29)


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.