Updated on February 14, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
England
Manchester City
Salford City
1
1
76%
(1.03)
X
15%
(22)
2
9%
(46.4)
1X
91%
(1.01)
X2
24%
(16.38)
12
85%
(1.01)
England
Liverpool
Brighton
1
1
66%
(1.55)
X
23%
(4.55)
2
11%
(5.18)
1X
89%
(1.15)
X2
34%
(2.39)
12
77%
(1.19)
Italy
Como
Fiorentina
1
1
60%
(1.71)
X
29%
(3.92)
2
11%
(4.83)
1X
89%
(1.18)
X2
40%
(2.1)
12
71%
(1.24)
Cyprus
Omonia Nicosia
Enosis Neon Paralimni
1
1
67%
(1.01)
X
22%
(16.5)
2
11%
(43.75)
1X
89%
(1)
X2
33%
(13.9)
12
78%
(1.01)
South Africa
Orlando Pirates
Marumo Gallants
1
1
57%
(1.3)
X
32%
(4.55)
2
12%
(9.56)
1X
88%
(1.04)
X2
44%
(3.1)
12
68%
(1.15)
Venezuela
Academia Puerto Cabello
Zamora Barinas
1
1
64%
(1.5)
X
24%
(3.58)
2
12%
(6)
1X
88%
(1.1)
X2
36%
(2.23)
12
76%
(1.23)
Germany
Bayer Leverkusen
Sankt Pauli
1
1
65%
(1.5)
X
22%
(4.36)
2
13%
(6.69)
1X
88%
(1.1)
X2
35%
(2.58)
12
78%
(1.21)
Germany
Hoffenheim
Freiburg
1
1
61%
(1.72)
X
24%
(4.01)
2
15%
(4.61)
1X
85%
(1.19)
X2
39%
(2.1)
12
77%
(1.24)
Mexico
Correcaminos UAT
Atlante
2
1
19%
(5.87)
X
15%
(4.11)
2
66%
(1.45)
1X
35%
(2.5)
X2
81%
(1.09)
12
85%
(1.18)
England
Eastleigh
Boreham Wood
2
1
16%
(4.24)
X
19%
(3.62)
2
65%
(1.68)
1X
35%
(2.01)
X2
85%
(1.16)
12
81%
(1.23)
England
Yeovil
Rochdale
2
1
16%
(5.2)
X
18%
(3.74)
2
67%
(1.54)
1X
33%
(2.27)
X2
84%
(1.1)
12
82%
(1.22)
India
Mohun Bagan AC
Kerala Blasters
1
1
52%
(1.38)
X
32%
(4.35)
2
16%
(6.85)
1X
84%
(1.07)
X2
48%
(2.68)
12
68%
(1.17)
Portugal
Vitoria Guimaraes
Estrela da Amadora
1
1
62%
(1.68)
X
23%
(3.58)
2
16%
(5.34)
1X
84%
(1.14)
X2
39%
(2.13)
12
78%
(1.28)
Spain
Algeciras CF
Juventud Torremolinos
1
1
50%
(1.84)
X
35%
(2.92)
2
16%
(4.41)
1X
84%
(1.16)
X2
50%
(1.8)
12
66%
(1.31)
England
Southend
Morecambe
1
1
57%
(1.38)
X
27%
(4.54)
2
16%
(6.13)
1X
84%
(1.09)
X2
43%
(2.7)
12
73%
(1.14)
Spain
Real Madrid
Real Sociedad
1
1
59%
(1.38)
X
25%
(5.32)
2
16%
(7.54)
1X
84%
(1.08)
X2
41%
(3.04)
12
76%
(1.15)
Mexico
Deportivo Toluca
Club Tijuana
1
1
57%
(1.31)
X
26%
(5.09)
2
16%
(8.53)
1X
84%
(1.05)
X2
43%
(3.23)
12
74%
(1.14)
UAE
Al-Ain FC
Al-Nasr Dubai
1
1
54%
(1.3)
X
30%
(4.85)
2
17%
(7.76)
1X
84%
(1.05)
X2
46%
(2.96)
12
70%
(1.14)
Romania
Universitatea Cluj
Csikszereda Miercurea Ciuc
1
1
58%
(1.43)
X
25%
(4.09)
2
17%
(7.02)
1X
83%
(1.07)
X2
42%
(2.65)
12
75%
(1.21)
Germany
Werder Bremen
Bayern Munchen
2
1
17%
(8.97)
X
19%
(6.13)
2
64%
(1.29)
1X
36%
(3.5)
X2
83%
(1.06)
12
81%
(1.12)
England
Cambridge United
Bristol Rovers
1
1
55%
(1.69)
X
28%
(3.54)
2
17%
(4.81)
1X
83%
(1.15)
X2
45%
(2.05)
12
72%
(1.26)
Northern Ireland
Portadown
Larne
2
1
17%
(4.94)
X
20%
(3.67)
2
63%
(1.58)
1X
37%
(2.15)
X2
83%
(1.12)
12
80%
(1.21)
Italy
Benevento
Latina
1
1
54%
(1.27)
X
30%
(4.64)
2
17%
(9.26)
1X
83%
(1.03)
X2
47%
(3.07)
12
70%
(1.13)
Indonesia
Persebaya Surabaya
Bhayangkara Presisi Lampung
1
1
53%
(1.74)
X
30%
(3.26)
2
17%
(4.31)
1X
83%
(1.15)
X2
47%
(1.89)
12
70%
(1.26)
Uruguay
Nacional Montevideo
Racing Club Montevideo
1
1
49%
(1.5)
X
34%
(3.87)
2
17%
(6.17)
1X
83%
(1.09)
X2
51%
(2.41)
12
67%
(1.22)
Costa Rica
Puntarenas
Perez Zeledon
1
1
50%
(1.7)
X
33%
(3.41)
2
17%
(4.43)
1X
83%
(1.16)
X2
50%
(1.96)
12
67%
(1.26)
Azerbaijan
Zira Baku
Karvan Yevlakh
1
1
47%
(1.15)
X
36%
(6.06)
2
17%
(12.9)
1X
83%
(1.02)
X2
53%
(4.25)
12
65%
(1.07)
England
Wealdstone
York City
2
1
17%
(5.35)
X
19%
(4.25)
2
63%
(1.46)
1X
37%
(2.46)
X2
83%
(1.11)
12
81%
(1.16)
Argentina
Gimnasia y Tiro
Atletico Colegiales
1
1
47%
(1.75)
X
36%
(3)
2
17%
(5.39)
1X
83%
(1.12)
X2
53%
(1.91)
12
64%
(1.35)
Japan
Sanfrecce Hiroshima
Fagiano Okayama
1
1
46%
(1.45)
X
37%
(4.12)
2
18%
(6.78)
1X
82%
(1.08)
X2
54%
(2.6)
12
63%
(1.2)
Peru
Universitario de Deportes
Cienciano
1
1
51%
(1.29)
X
31%
(5.04)
2
18%
(8.27)
1X
82%
(1.06)
X2
49%
(3.27)
12
69%
(1.14)
Italy
Palermo
Entella
1
1
49%
(1.65)
X
34%
(3.69)
2
18%
(5.09)
1X
82%
(1.14)
X2
52%
(2.17)
12
66%
(1.25)
Portugal
Gil Vicente
SC Braga
2
1
18%
(3.71)
X
20%
(3.13)
2
62%
(2.11)
1X
38%
(1.68)
X2
82%
(1.25)
12
80%
(1.34)
Hungary
Zalaegerszegi
Ferencvarosi
2
1
18%
(4.65)
X
21%
(3.92)
2
61%
(1.61)
1X
39%
(2.15)
X2
82%
(1.15)
12
79%
(1.21)
Mexico
Irapuato
Dorados de Sinaloa
1
1
55%
(1.36)
X
27%
(4.52)
2
18%
(6.74)
1X
82%
(1.07)
X2
45%
(2.78)
12
73%
(1.15)
England
Milton Keynes Dons
Newport County
1
1
51%
(1.32)
X
31%
(4.99)
2
18%
(8.23)
1X
82%
(1.05)
X2
49%
(3.17)
12
69%
(1.14)
Colombia
Independiente Medellin
Deportivo Pereira
1
1
54%
(1.39)
X
28%
(4.43)
2
18%
(7.49)
1X
82%
(1.07)
X2
46%
(2.78)
12
72%
(1.18)
France
Grenoble Foot 38
Reims
2
1
18%
(3.97)
X
22%
(3.26)
2
60%
(1.94)
1X
40%
(1.81)
X2
82%
(1.21)
12
79%
(1.32)
France
Lille
Brest
1
1
54%
(1.6)
X
27%
(4.1)
2
18%
(5.57)
1X
82%
(1.13)
X2
46%
(2.32)
12
73%
(1.22)
Andorra
Penya Encarnada
Inter Club d'Escaldes
2
1
18%
(18)
X
20%
(6.82)
2
62%
(1.11)
1X
38%
(4.58)
X2
82%
(1.02)
12
80%
(1.05)
Iceland
KR Reykjavik
IR Reykjavik
1
1
57%
(1.2)
X
25%
(6.65)
2
19%
(7.72)
1X
82%
(1.04)
X2
43%
(3.74)
12
75%
(1.07)
England
Barnet
Cheltenham
1
1
50%
(1.41)
X
32%
(4.49)
2
19%
(6.85)
1X
82%
(1.08)
X2
51%
(2.72)
12
68%
(1.16)
Argentina
Huracan Buenos Aires
Sarmiento de Junin
1
1
42%
(1.77)
X
39%
(3.1)
2
19%
(5.43)
1X
81%
(1.13)
X2
58%
(1.98)
12
61%
(1.34)
Turkey
Bandirmaspor
Serikspor
1
1
55%
(1.15)
X
26%
(6.4)
2
19%
(13)
1X
81%
(1.03)
X2
45%
(4.5)
12
74%
(1.08)
El Salvador
Municipal Limeno
Fuerte San Francisco
1
1
50%
(1.75)
X
32%
(3.16)
2
19%
(4.51)
1X
81%
(1.15)
X2
50%
(1.9)
12
68%
(1.27)
Switzerland
St. Gallen
Grasshopper
1
1
55%
(1.58)
X
26%
(4.24)
2
19%
(4.86)
1X
81%
(1.15)
X2
45%
(2.28)
12
74%
(1.19)
Portugal
Academico de Viseu
Oliveirense
1
1
46%
(1.46)
X
35%
(3.94)
2
19%
(6.18)
1X
81%
(1.09)
X2
54%
(2.46)
12
65%
(1.2)
Croatia
HNK Rijeka
NK Varazdin
1
1
48%
(1.72)
X
33%
(3.37)
2
19%
(4.68)
1X
81%
(1.15)
X2
52%
(1.97)
12
67%
(1.27)
Scotland
Stirling Albion
Clyde
2
1
19%
(3.24)
X
24%
(3.27)
2
57%
(2.03)
1X
43%
(1.65)
X2
81%
(1.29)
12
76%
(1.29)
Venezuela
Deportivo Tachira
Trujillanos FC
1
1
50%
(1.26)
X
31%
(4.68)
2
19%
(9.96)
1X
81%
(1.03)
X2
50%
(3.36)
12
69%
(1.13)
Slovenia
NK Celje
NS Mura
1
1
55%
(1.27)
X
26%
(5.14)
2
19%
(9.18)
1X
81%
(1.04)
X2
45%
(3.41)
12
74%
(1.11)
Spain
Getafe
Villarreal
2
1
20%
(3.45)
X
19%
(3.04)
2
61%
(2.32)
1X
39%
(1.59)
X2
80%
(1.3)
12
81%
(1.36)
Italy
Cesena
Venezia
2
1
19%
(3.65)
X
23%
(3.22)
2
58%
(2.03)
1X
42%
(1.72)
X2
81%
(1.24)
12
77%
(1.32)
Serbia
Partizan Belgrade
Spartak Subotica
1
1
45%
(1.15)
X
35%
(7.13)
2
19%
(11.66)
1X
81%
(1.02)
X2
55%
(4.48)
12
65%
(1.06)
Austria
WSG Swarovski Tirol
Sturm Graz
2
1
19%
(3.15)
X
24%
(3.26)
2
57%
(2.23)
1X
43%
(1.6)
X2
81%
(1.33)
12
77%
(1.31)
Malta
Mosta FC
Birkirkara
2
1
23%
(4.14)
X
19%
(3.31)
2
58%
(1.75)
1X
42%
(1.92)
X2
77%
(1.15)
12
81%
(1.27)
Croatia
Dinamo Zagreb
Istra 1961 Pula
1
1
51%
(1.31)
X
30%
(4.93)
2
20%
(8.38)
1X
81%
(1.05)
X2
49%
(3.19)
12
71%
(1.14)
Cyprus
Akritas Chloraka
Aris Limassol
2
1
20%
(8.07)
X
23%
(4.96)
2
57%
(1.29)
1X
43%
(3.13)
X2
80%
(1.05)
12
77%
(1.13)
Switzerland
Young Boys
Winterthur
1
1
50%
(1.38)
X
30%
(5.08)
2
20%
(6.57)
1X
80%
(1.09)
X2
50%
(2.91)
12
70%
(1.14)
Czech Republic
Karvina
Slavia Prague
2
1
20%
(5.74)
X
20%
(4.25)
2
60%
(1.49)
1X
40%
(2.48)
X2
80%
(1.11)
12
80%
(1.19)
Japan
Kashima Antlers
Yokohama F. Marinos
1
1
45%
(1.59)
X
35%
(3.96)
2
20%
(5.01)
1X
80%
(1.14)
X2
55%
(2.25)
12
65%
(1.22)
Malta
Naxxar Lions
Sliema Wanderers
2
1
20%
(4.25)
X
23%
(3.44)
2
57%
(1.7)
1X
43%
(1.97)
X2
80%
(1.17)
12
77%
(1.22)
Colombia
Millonarios Bogota
Llaneros FC
1
1
45%
(1.57)
X
35%
(3.58)
2
20%
(6.26)
1X
80%
(1.1)
X2
55%
(2.29)
12
66%
(1.26)
Japan
Shonan Bellmare
SC Sagamihara
1
1
46%
(1.64)
X
34%
(3.62)
2
20%
(4.55)
1X
80%
(1.13)
X2
55%
(2.07)
12
66%
(1.22)
Venezuela
Deportivo La Guaira
Caracas FC
1
1
43%
(1.59)
X
37%
(3.53)
2
20%
(5.09)
1X
80%
(1.1)
X2
57%
(2.18)
12
63%
(1.24)
Australia
Melbourne Victory
Brisbane Roar
1
1
51%
(1.65)
X
29%
(3.88)
2
20%
(4.95)
1X
80%
(1.16)
X2
49%
(2.14)
12
71%
(1.24)
Turkey
Trabzonspor
Fenerbahce
2
1
22%
(3.38)
X
20%
(3.59)
2
58%
(2.05)
1X
42%
(1.73)
X2
78%
(1.3)
12
80%
(1.28)
Serbia
Zeleznicar Pancevo
Crvena zvezda Belgrade
2
1
21%
(8.53)
X
23%
(4.82)
2
56%
(1.3)
1X
44%
(3.22)
X2
80%
(1.05)
12
77%
(1.14)
Northern Ireland
Carrick Rangers
Coleraine
2
1
23%
(4.36)
X
21%
(3.62)
2
57%
(1.68)
1X
43%
(1.98)
X2
77%
(1.15)
12
79%
(1.21)
Paraguay
Olimpia Asuncion
Rubio Nu
1
1
45%
(1.54)
X
34%
(3.85)
2
21%
(5.42)
1X
79%
(1.12)
X2
55%
(2.3)
12
66%
(1.22)
Luxembourg
Racing FC Union
Differdange FC
2
1
21%
(4.56)
X
23%
(3.43)
2
56%
(1.66)
1X
44%
(2.02)
X2
79%
(1.15)
12
77%
(1.25)
Bulgaria
Arda Kardzhali
Slavia Sofia
1
1
45%
(1.78)
X
34%
(3.22)
2
21%
(4.64)
1X
79%
(1.16)
X2
55%
(1.92)
12
66%
(1.3)
Saudi Arabia
Al-Riyadh
Al-Khaleej Saihat
2
1
21%
(3.23)
X
25%
(3.39)
2
54%
(2.06)
1X
46%
(1.67)
X2
79%
(1.3)
12
75%
(1.27)
Chile
Deportes La Serena
Coquimbo Unido
2
1
21%
(3.54)
X
21%
(3.23)
2
58%
(2.04)
1X
42%
(1.69)
X2
79%
(1.26)
12
79%
(1.3)
Albania
Teuta Durres
Bylis Ballsh
1
1
41%
(1.38)
X
37%
(3.7)
2
21%
(8.53)
1X
79%
(1.05)
X2
59%
(2.62)
12
63%
(1.2)
Belgium
Jong Genk
RFC Liege
2
1
21%
(3.48)
X
28%
(3.53)
2
51%
(1.87)
1X
49%
(1.79)
X2
79%
(1.25)
12
72%
(1.25)
Germany
Stuttgart
FC Koln
1
1
48%
(1.48)
X
31%
(4.87)
2
21%
(5.98)
1X
79%
(1.13)
X2
52%
(2.64)
12
69%
(1.18)
Wales
Pen-y-Bont FC
Connah's Quay Nomads
2
1
21%
(3.01)
X
23%
(3.26)
2
55%
(2.11)
1X
45%
(1.6)
X2
79%
(1.31)
12
77%
(1.26)
Scotland
Ross County
Queen's Park
1
1
55%
(1.73)
X
24%
(3.51)
2
22%
(4.26)
1X
79%
(1.17)
X2
45%
(1.96)
12
76%
(1.24)
UAE
Baniyas SC
Al-Wasl Dubai
2
1
25%
(3.64)
X
22%
(3.56)
2
54%
(1.81)
1X
47%
(1.83)
X2
75%
(1.23)
12
79%
(1.24)
Ireland
Sligo Rovers
Bohemians
2
1
22%
(3.48)
X
25%
(3.33)
2
53%
(2.02)
1X
47%
(1.73)
X2
79%
(1.28)
12
75%
(1.3)
Serbia
FK Cukaricki
Vojvodina Novi Sad
2
1
22%
(3.09)
X
24%
(3.23)
2
55%
(2.12)
1X
45%
(1.61)
X2
78%
(1.31)
12
76%
(1.28)
England
Braintree
Solihull Moors
2
1
22%
(3.23)
X
24%
(3.52)
2
54%
(1.95)
1X
46%
(1.74)
X2
78%
(1.28)
12
76%
(1.23)
England
Halifax
Truro City
1
1
46%
(1.73)
X
32%
(3.48)
2
22%
(4.14)
1X
78%
(1.16)
X2
54%
(1.95)
12
68%
(1.24)
Germany
Rot-Weiss Essen
Jahn Regensburg
1
1
49%
(1.74)
X
29%
(3.7)
2
22%
(4.02)
1X
78%
(1.19)
X2
51%
(1.95)
12
71%
(1.22)
Germany
Kaiserslautern
Greuther Furth
1
1
41%
(1.63)
X
37%
(4.13)
2
22%
(4.72)
1X
78%
(1.17)
X2
59%
(2.2)
12
64%
(1.21)
England
Southampton
Leicester
1
1
49%
(1.72)
X
29%
(3.92)
2
22%
(4.35)
1X
78%
(1.19)
X2
51%
(2.07)
12
71%
(1.24)
Saudi Arabia
Al-Fateh SC
Al-Nassr Riyadh
2
1
22%
(7.8)
X
28%
(5.72)
2
50%
(1.27)
1X
51%
(3.37)
X2
78%
(1.06)
12
72%
(1.11)
Hungary
MTK Budapest
Puskas Academy
2
1
23%
(2.88)
X
22%
(3.51)
2
55%
(2.18)
1X
45%
(1.6)
X2
77%
(1.36)
12
78%
(1.25)
UAE
Al Sharjah SC
Dibba Al Fujairah
1
1
47%
(1.37)
X
30%
(4.41)
2
22%
(6.48)
1X
78%
(1.07)
X2
53%
(2.71)
12
70%
(1.15)
Czech Republic
Sigma Olomouc
Viktoria Plzen
2
1
22%
(3.23)
X
27%
(3.23)
2
51%
(2.17)
1X
49%
(1.64)
X2
78%
(1.31)
12
73%
(1.32)
San Marino
SP Cailungo
SP La Fiorita
2
1
26%
(16.17)
X
23%
(6.88)
2
52%
(1.12)
1X
49%
(4.68)
X2
74%
(1.02)
12
78%
(1.07)
Japan
Shimizu S-Pulse
Kyoto Sanga FC
2
1
28%
(3.12)
X
23%
(3.45)
2
50%
(2.12)
1X
50%
(1.64)
X2
72%
(1.32)
12
78%
(1.27)
England
Scunthorpe
Boston United
1
1
42%
(1.52)
X
35%
(3.98)
2
23%
(5.14)
1X
77%
(1.13)
X2
58%
(2.32)
12
65%
(1.2)
Albania
Vora FK
Egnatia Rrogozhine
2
1
23%
(9.6)
X
27%
(3.78)
2
50%
(1.35)
1X
50%
(2.83)
X2
77%
(1.04)
12
73%
(1.19)
Northern Ireland
Glentoran
Ballymena United
1
1
47%
(1.44)
X
31%
(4.06)
2
23%
(6.33)
1X
77%
(1.08)
X2
53%
(2.47)
12
69%
(1.18)
Peru
Juan Pablo II College
Sporting Cristal
2
1
23%
(3.69)
X
26%
(3.35)
2
51%
(1.92)
1X
49%
(1.8)
X2
77%
(1.22)
12
74%
(1.28)
Italy
Cavese 1919
Salernitana
2
1
23%
(3.55)
X
28%
(3.03)
2
49%
(1.99)
1X
51%
(1.66)
X2
77%
(1.2)
12
72%
(1.3)
England
Chesterfield
Harrogate Town
1
1
46%
(1.4)
X
31%
(4.62)
2
23%
(6.63)
1X
77%
(1.08)
X2
54%
(2.75)
12
69%
(1.16)
Germany
Dynamo Dresden
Elversberg
2
1
24%
(3.12)
X
23%
(3.44)
2
53%
(2.19)
1X
47%
(1.63)
X2
76%
(1.34)
12
77%
(1.28)
Italy
Modena
Carrarese
1
1
46%
(1.67)
X
31%
(3.5)
2
23%
(5.22)
1X
77%
(1.13)
X2
54%
(2.13)
12
69%
(1.28)
Azerbaijan
Imishli FK
Qarabag Agdam
2
1
23%
(8.6)
X
24%
(4.66)
2
53%
(1.29)
1X
47%
(3.17)
X2
77%
(1.04)
12
76%
(1.14)
Slovakia
Slovan Bratislava
AS Trencin
1
1
51%
(1.21)
X
26%
(6.1)
2
23%
(9.56)
1X
77%
(1.04)
X2
49%
(3.89)
12
74%
(1.1)
Israel
M.S. Ashdod
Hapoel Beer Sheva
2
1
23%
(7.49)
X
26%
(4.97)
2
51%
(1.31)
1X
49%
(3.22)
X2
77%
(1.07)
12
74%
(1.13)
Greece
Panetolikos
Asteras Tripolis
2
1
29%
(3.34)
X
23%
(3.1)
2
48%
(2.22)
1X
52%
(1.6)
X2
71%
(1.29)
12
77%
(1.34)
Belgium
Lommel
RSCA Futures
1
1
43%
(1.56)
X
33%
(3.96)
2
23%
(4.74)
1X
77%
(1.14)
X2
57%
(2.23)
12
67%
(1.19)
Argentina
Banfield
Racing Club
2
1
23%
(3.29)
X
23%
(3.2)
2
53%
(2.22)
1X
47%
(1.63)
X2
77%
(1.31)
12
77%
(1.33)
Northern Ireland
Glenavon
Linfield
2
1
25%
(5.95)
X
24%
(4.13)
2
51%
(1.45)
1X
49%
(2.45)
X2
75%
(1.09)
12
76%
(1.17)
Greece
Volos FC
Aris Thessaloniki
2
1
24%
(4.01)
X
29%
(3.1)
2
47%
(1.98)
1X
53%
(1.77)
X2
76%
(1.21)
12
71%
(1.34)
Israel
Maccabi Bnei Reineh
Maccabi Netanya
2
1
26%
(3.5)
X
24%
(3.64)
2
50%
(1.87)
1X
50%
(1.83)
X2
74%
(1.26)
12
76%
(1.23)
Romania
Metaloglobus Bucuresti
Otelul Galati
2
1
24%
(6.61)
X
28%
(4.11)
2
49%
(1.44)
1X
52%
(2.57)
X2
76%
(1.08)
12
72%
(1.21)
Scotland
Stenhousemuir
Montrose
1
1
43%
(1.55)
X
33%
(3.7)
2
24%
(5.25)
1X
76%
(1.11)
X2
57%
(2.27)
12
67%
(1.23)
Italy
Picerno
Crotone
2
1
24%
(3.66)
X
25%
(3.06)
2
51%
(1.94)
1X
49%
(1.71)
X2
76%
(1.2)
12
75%
(1.28)
England
Shrewsbury
Swindon
2
1
24%
(2.99)
X
26%
(3.37)
2
50%
(2.22)
1X
50%
(1.58)
X2
76%
(1.34)
12
74%
(1.28)
Italy
Foggia
Atalanta U23
2
1
25%
(2.98)
X
27%
(3.2)
2
48%
(2.15)
1X
52%
(1.53)
X2
76%
(1.31)
12
73%
(1.28)
Italy
Sampdoria
Padova
1
1
41%
(1.81)
X
34%
(3.21)
2
25%
(4.79)
1X
75%
(1.16)
X2
59%
(1.93)
12
66%
(1.33)
Netherlands
Ajax Amsterdam
Fortuna Sittard
1
1
43%
(1.33)
X
32%
(5.36)
2
25%
(8.34)
1X
75%
(1.06)
X2
57%
(3.27)
12
68%
(1.15)
Belgium
Standard Liege
Union Saint-Gilloise
2
1
25%
(5.7)
X
33%
(3.61)
2
43%
(1.62)
1X
57%
(2.2)
X2
75%
(1.13)
12
68%
(1.27)
Poland
Polonia Warszawa
Znicz Pruszkow
1
1
48%
(1.64)
X
28%
(3.82)
2
25%
(4.41)
1X
75%
(1.17)
X2
53%
(2.09)
12
72%
(1.2)
Scotland
Kelty Hearts
Peterhead
2
1
27%
(3.12)
X
25%
(3.34)
2
49%
(2.05)
1X
52%
(1.68)
X2
73%
(1.29)
12
75%
(1.27)
Hungary
Paksi
Diosgyori
1
1
48%
(1.5)
X
27%
(4.35)
2
25%
(5.09)
1X
75%
(1.13)
X2
52%
(2.38)
12
73%
(1.18)
Italy
Siracusa
Catania
2
1
25%
(4.9)
X
29%
(3.47)
2
45%
(1.61)
1X
55%
(2.08)
X2
75%
(1.1)
12
71%
(1.23)
Greece
Levadiakos
Olympiacos Piraeus
2
1
25%
(6.59)
X
26%
(4.05)
2
49%
(1.48)
1X
51%
(2.52)
X2
75%
(1.09)
12
75%
(1.21)
Mexico
Pachuca
Atlas Guadalajara
1
1
39%
(1.7)
X
35%
(3.6)
2
25%
(4.8)
1X
75%
(1.16)
X2
61%
(2.04)
12
65%
(1.26)
Netherlands
Excelsior
AZ Alkmaar
2
1
26%
(3.23)
X
26%
(3.71)
2
49%
(2.08)
1X
51%
(1.7)
X2
74%
(1.32)
12
75%
(1.27)
England
Burnley
Mansfield
1
1
45%
(1.38)
X
29%
(4.67)
2
26%
(7.58)
1X
74%
(1.08)
X2
55%
(2.91)
12
71%
(1.18)
Germany
Eintracht Braunschweig
Darmstadt
2
1
26%
(3.19)
X
28%
(3.49)
2
46%
(2.14)
1X
54%
(1.65)
X2
74%
(1.32)
12
72%
(1.28)
England
Portsmouth
Sheffield United
2
1
26%
(3.27)
X
30%
(3.42)
2
44%
(2.15)
1X
56%
(1.66)
X2
74%
(1.31)
12
70%
(1.3)
Australia
Sydney FC
Adelaide United
1
1
44%
(1.74)
X
30%
(4.21)
2
26%
(3.96)
1X
74%
(1.23)
X2
56%
(2)
12
70%
(1.2)
England
Reading
Wycombe
2
1
26%
(3.03)
X
30%
(3.31)
2
44%
(2.26)
1X
56%
(1.56)
X2
74%
(1.34)
12
70%
(1.3)
England
Sheffield Wednesday
Millwall
2
1
29%
(8.67)
X
27%
(4.73)
2
44%
(1.35)
1X
56%
(3.05)
X2
71%
(1.06)
12
73%
(1.16)
Germany
Havelse
Munchen 1860
2
1
33%
(2.92)
X
27%
(3.56)
2
40%
(2.13)
1X
60%
(1.61)
X2
67%
(1.33)
12
73%
(1.24)
Italy
Lazio
Atalanta
2
1
28%
(3.38)
X
32%
(3.26)
2
40%
(2.24)
1X
60%
(1.62)
X2
72%
(1.3)
12
68%
(1.33)
Netherlands
Heracles Almelo
NAC Breda
1
1
40%
(2.7)
X
33%
(3.42)
2
28%
(2.53)
1X
72%
(1.5)
X2
61%
(1.45)
12
67%
(1.3)
England
Barrow
Colchester
2
1
28%
(3.3)
X
30%
(3.31)
2
43%
(2.1)
1X
58%
(1.64)
X2
72%
(1.28)
12
71%
(1.29)
Poland
Wisla Plock
Widzew Lodz
2
1
28%
(3.16)
X
33%
(3.08)
2
39%
(2.29)
1X
62%
(1.56)
X2
72%
(1.32)
12
67%
(1.33)
Poland
Zaglebie Lubin
Rakow Czestochowa
2
1
31%
(3.59)
X
30%
(3.18)
2
39%
(2.06)
1X
61%
(1.69)
X2
69%
(1.25)
12
70%
(1.32)
Wales
Caernarfon Town
Barry Town United
1
1
37%
(1.91)
X
30%
(3.52)
2
33%
(3.33)
1X
67%
(1.25)
X2
63%
(1.74)
12
70%
(1.23)
Scotland
The Spartans
Edinburgh City
1
1
38%
(1.46)
X
31%
(4.08)
2
31%
(5.77)
1X
69%
(1.09)
X2
62%
(2.48)
12
69%
(1.19)
England
Woking
Altrincham
1
1
34%
(2.02)
X
33%
(3.21)
2
33%
(3.29)
1X
67%
(1.26)
X2
66%
(1.68)
12
67%
(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.