Updated on March 7, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Armenia
Van
Ararat
1
1
77%
(1.55)
X
16%
(3.75)
2
7%
(4.95)
1X
93%
(1.13)
X2
23%
(2.21)
12
84%
(1.2)
Turkey
Erzurumspor
Manisa FK
1
1
66%
(1.41)
X
24%
(4.07)
2
10%
(6.5)
1X
90%
(1.07)
X2
34%
(2.55)
12
77%
(1.17)
Bulgaria
Vihren Sandanski
Belasitsa Petrich
1
1
67%
(1.43)
X
21%
(4.04)
2
11%
(5.98)
1X
89%
(1.07)
X2
33%
(2.46)
12
79%
(1.18)
Tunisia
Esperance de Tunis
AS La Marsa
1
1
57%
(1.18)
X
32%
(5.5)
2
11%
(12.5)
1X
89%
(1.03)
X2
43%
(4)
12
69%
(1.09)
Turkey
Amed SFK
Serikspor
1
1
63%
(1.11)
X
23%
(7.79)
2
13%
(13.8)
1X
87%
(1.02)
X2
37%
(5.13)
12
77%
(1.04)
Indonesia
Malut United
PSM Makassar
1
1
58%
(1.63)
X
29%
(3.58)
2
13%
(4.64)
1X
87%
(1.13)
X2
42%
(2.08)
12
71%
(1.22)
Estonia
Flora Tallinn
Nomme United
1
1
64%
(1.2)
X
22%
(5.87)
2
14%
(9.19)
1X
86%
(1.04)
X2
36%
(3.72)
12
78%
(1.08)
Germany
Heidenheim
Hoffenheim
2
1
14%
(4.98)
X
16%
(4.44)
2
70%
(1.61)
1X
30%
(2.29)
X2
86%
(1.17)
12
84%
(1.2)
Malaysia
Kuala Lumpur City
Melaka FC
1
1
70%
(1.26)
X
16%
(5.02)
2
14%
(8.63)
1X
86%
(1.03)
X2
30%
(3.23)
12
84%
(1.11)
Bosnia and Herzegovina
Velez Mostar
Posusje
1
1
55%
(1.66)
X
31%
(3.2)
2
14%
(4.94)
1X
86%
(1.12)
X2
45%
(1.98)
12
69%
(1.26)
Bulgaria
Dunav Ruse
Ludogorets Razgrad II
1
1
57%
(1.21)
X
28%
(4.93)
2
14%
(10.73)
1X
86%
(1.04)
X2
43%
(3.42)
12
72%
(1.11)
Saudi Arabia
Al-Kholood Club
Al-Qadsiah Khobar
2
1
14%
(6.46)
X
18%
(4.98)
2
68%
(1.39)
1X
32%
(2.83)
X2
86%
(1.09)
12
82%
(1.14)
Kazakhstan
Ordabasy Shymkent
Irtysh Pavlodar
1
1
61%
(1.42)
X
24%
(4.07)
2
15%
(6.35)
1X
86%
(1.09)
X2
39%
(2.59)
12
76%
(1.19)
Bosnia and Herzegovina
FK Sarajevo
Rudar Prijedor
1
1
52%
(1.27)
X
33%
(4.54)
2
15%
(9.39)
1X
85%
(1.04)
X2
48%
(3.11)
12
67%
(1.14)
Turkey
Corum
Hatayspor
1
1
59%
(1.03)
X
26%
(12.4)
2
15%
(27.8)
1X
85%
(1)
X2
41%
(9.88)
12
74%
(1.03)
Malaysia
Kuching City
Sabah FC
1
1
65%
(1.39)
X
20%
(4.47)
2
15%
(5.93)
1X
85%
(1.09)
X2
35%
(2.59)
12
80%
(1.14)
Cyprus
Pafos FC
Krasava ENY Ypsonas
1
1
53%
(1.3)
X
32%
(4.74)
2
15%
(8.16)
1X
85%
(1.05)
X2
47%
(3.06)
12
68%
(1.14)
Ecuador
Independiente del Valle
Mushuc Runa
1
1
52%
(1.47)
X
32%
(3.98)
2
15%
(6.33)
1X
85%
(1.08)
X2
48%
(2.51)
12
68%
(1.21)
Spain
Osasuna
Mallorca
1
1
57%
(1.77)
X
28%
(3.56)
2
16%
(4.99)
1X
84%
(1.16)
X2
43%
(2.03)
12
72%
(1.28)
Peru
Cienciano
Sport Boys
1
1
56%
(1.37)
X
28%
(4.5)
2
16%
(7.44)
1X
84%
(1.07)
X2
44%
(2.81)
12
72%
(1.16)
Morocco
Raja Casablanca
OCS Safi
1
1
44%
(1.66)
X
40%
(3.19)
2
16%
(5.3)
1X
84%
(1.11)
X2
56%
(2.06)
12
60%
(1.29)
Spain
Sabadell
Algeciras CF
1
1
50%
(1.77)
X
34%
(3.16)
2
16%
(4.48)
1X
84%
(1.14)
X2
50%
(1.92)
12
66%
(1.3)
Germany
RB Leipzig
Augsburg
1
1
61%
(1.43)
X
23%
(5.05)
2
16%
(6.7)
1X
84%
(1.11)
X2
39%
(2.78)
12
77%
(1.17)
South Korea
Seoul E-Land
Gyeongnam FC
1
1
50%
(1.58)
X
34%
(3.67)
2
16%
(4.85)
1X
84%
(1.13)
X2
50%
(2.12)
12
66%
(1.21)
England
Derby County
Sheffield Wednesday
1
1
55%
(1.27)
X
29%
(5.49)
2
16%
(10.65)
1X
84%
(1.03)
X2
45%
(3.57)
12
71%
(1.13)
Greece
AEK Athens
AEL Larissa
1
1
53%
(1.21)
X
31%
(5.91)
2
16%
(12.22)
1X
84%
(1.03)
X2
47%
(4.03)
12
69%
(1.11)
Czech Republic
Teplice
Dukla Prague
1
1
55%
(1.85)
X
29%
(3.21)
2
17%
(4.49)
1X
84%
(1.17)
X2
45%
(1.87)
12
72%
(1.3)
Morocco
Renaissance Zemamra
FAR Rabat
2
1
17%
(5.64)
X
20%
(3.44)
2
63%
(1.57)
1X
37%
(2.19)
X2
84%
(1.09)
12
80%
(1.24)
Singapore
Lion City Sailors
Geylang International
1
1
63%
(1.27)
X
20%
(5.48)
2
17%
(7.73)
1X
83%
(1.05)
X2
37%
(3.3)
12
80%
(1.1)
Spain
Burgos CF
Mirandes
1
1
55%
(1.78)
X
29%
(3.2)
2
17%
(4.66)
1X
83%
(1.15)
X2
45%
(1.93)
12
72%
(1.31)
Scotland
Forfar Athletic
Clyde
2
1
17%
(2.84)
X
27%
(3.34)
2
57%
(2.23)
1X
43%
(1.58)
X2
83%
(1.34)
12
74%
(1.28)
Tunisia
ES Metlaoui
Olympique Beja
1
1
50%
(1.62)
X
33%
(3.22)
2
17%
(5.47)
1X
83%
(1.1)
X2
50%
(2.05)
12
67%
(1.28)
Netherlands
PSV Eindhoven
AZ Alkmaar
1
1
59%
(1.32)
X
24%
(5.75)
2
17%
(7.74)
1X
83%
(1.07)
X2
41%
(3.28)
12
76%
(1.13)
Romania
FC FCSB
Universitatea Cluj
1
1
53%
(1.73)
X
30%
(3.58)
2
17%
(4.39)
1X
83%
(1.17)
X2
47%
(1.98)
12
70%
(1.26)
Italy
Union Brescia
Triestina
1
1
51%
(1.34)
X
32%
(4.34)
2
17%
(7.47)
1X
83%
(1.04)
X2
49%
(2.8)
12
68%
(1.14)
Spain
Atletico Madrid
Real Sociedad
1
1
57%
(1.66)
X
25%
(4.01)
2
17%
(5.07)
1X
83%
(1.16)
X2
43%
(2.19)
12
75%
(1.23)
England
Huddersfield
Rotherham
1
1
53%
(1.59)
X
30%
(3.86)
2
17%
(5.3)
1X
83%
(1.12)
X2
47%
(2.21)
12
70%
(1.22)
Scotland
Dundee FC
Motherwell
2
1
17%
(4)
X
20%
(3.5)
2
63%
(1.87)
1X
38%
(1.86)
X2
83%
(1.22)
12
80%
(1.27)
Portugal
Estoril Praia
Casa Pia
1
1
55%
(1.73)
X
28%
(3.88)
2
17%
(4.51)
1X
83%
(1.18)
X2
45%
(2.05)
12
73%
(1.23)
Japan
Kashima Antlers
Tokyo Verdy
1
1
52%
(1.78)
X
31%
(3.44)
2
18%
(4.36)
1X
83%
(1.17)
X2
48%
(1.93)
12
69%
(1.28)
Italy
Trento 1921
Virtus Verona
1
1
51%
(1.45)
X
31%
(3.93)
2
18%
(5.94)
1X
82%
(1.07)
X2
49%
(2.42)
12
69%
(1.17)
Italy
Juventus
Pisa 1909
1
1
50%
(1.24)
X
32%
(6.29)
2
18%
(12.86)
1X
82%
(1.03)
X2
50%
(4.18)
12
68%
(1.11)
England
York City
Eastleigh
1
1
55%
(1.14)
X
27%
(7.01)
2
18%
(12.04)
1X
82%
(1.04)
X2
45%
(4.56)
12
73%
(1.06)
Italy
Atalanta
Udinese
1
1
48%
(1.69)
X
34%
(3.74)
2
18%
(5.28)
1X
82%
(1.14)
X2
52%
(2.14)
12
66%
(1.26)
Andorra
FC Ordino
FC Ranger's
2
1
18%
(8)
X
22%
(4.5)
2
61%
(1.31)
1X
39%
(2.81)
X2
82%
(1.03)
12
79%
(1.12)
Bosnia and Herzegovina
Borac Banja Luka
Siroki Brijeg
1
1
45%
(1.19)
X
37%
(5.43)
2
18%
(11.2)
1X
82%
(1.02)
X2
55%
(3.75)
12
63%
(1.1)
China
Shanghai Shenhua
Dalian Yingbo
1
1
57%
(1.33)
X
25%
(5.03)
2
18%
(8.01)
1X
82%
(1.06)
X2
43%
(3.09)
12
75%
(1.14)
Peru
ADT Tarma
Juan Pablo II College
1
1
48%
(1.47)
X
34%
(4.13)
2
18%
(6.25)
1X
82%
(1.1)
X2
52%
(2.46)
12
66%
(1.19)
Algeria
CR Belouizdad
MB Rouissat
1
1
46%
(1.32)
X
36%
(4.06)
2
18%
(9.92)
1X
82%
(1.03)
X2
54%
(2.93)
12
64%
(1.17)
Spain
Tenerife
Lugo
1
1
48%
(1.53)
X
34%
(3.57)
2
18%
(5.76)
1X
82%
(1.1)
X2
52%
(2.31)
12
66%
(1.21)
Thailand
PT Prachuap
Muangthong United
1
1
49%
(1.69)
X
32%
(3.68)
2
18%
(3.96)
1X
82%
(1.18)
X2
51%
(1.96)
12
68%
(1.2)
England
Chesterfield
Shrewsbury
1
1
50%
(1.77)
X
31%
(3.52)
2
19%
(4.42)
1X
82%
(1.16)
X2
50%
(1.95)
12
69%
(1.26)
San Marino
SS Cosmos
FC Fiorentino
1
1
47%
(1.55)
X
34%
(3.67)
2
19%
(4.99)
1X
82%
(1.1)
X2
53%
(2.15)
12
66%
(1.18)
Indonesia
Persita Tangerang
Madura United
1
1
51%
(1.71)
X
30%
(3.52)
2
19%
(4.1)
1X
82%
(1.16)
X2
49%
(1.95)
12
70%
(1.22)
Uruguay
Penarol Montevideo
Danubio Montevideo
1
1
53%
(1.53)
X
29%
(3.76)
2
19%
(5.82)
1X
82%
(1.1)
X2
48%
(2.3)
12
71%
(1.22)
Italy
Giana Erminio
LR Vicenza
2
1
19%
(4.43)
X
23%
(3.12)
2
58%
(1.76)
1X
42%
(1.87)
X2
81%
(1.13)
12
77%
(1.28)
Cyprus
Omonia Aradippou
Omonia Nicosia
2
1
19%
(5.41)
X
25%
(3.97)
2
57%
(1.51)
1X
44%
(2.33)
X2
81%
(1.1)
12
75%
(1.19)
Guatemala
Deportivo Mixco
Deportivo Guastatoya
1
1
51%
(1.66)
X
30%
(3.25)
2
19%
(5)
1X
81%
(1.12)
X2
49%
(2)
12
70%
(1.25)
England
Ipswich
Leicester
1
1
45%
(1.45)
X
37%
(4.55)
2
19%
(6.62)
1X
81%
(1.09)
X2
55%
(2.68)
12
64%
(1.18)
Belgium
Union Saint-Gilloise
Genk
1
1
53%
(1.66)
X
28%
(3.86)
2
19%
(4.93)
1X
81%
(1.16)
X2
47%
(2.14)
12
72%
(1.23)
Spain
Ponferradina
Osasuna B
1
1
47%
(1.68)
X
34%
(3.4)
2
19%
(4.61)
1X
81%
(1.15)
X2
53%
(2.02)
12
66%
(1.23)
England
Milton Keynes Dons
Harrogate Town
1
1
43%
(1.34)
X
38%
(4.88)
2
19%
(7.72)
1X
81%
(1.05)
X2
57%
(2.99)
12
62%
(1.14)
USA
D.C. United
Inter Miami
2
1
19%
(4.44)
X
24%
(4.18)
2
57%
(1.68)
1X
43%
(2.14)
X2
81%
(1.19)
12
76%
(1.21)
San Marino
SS San Giovanni
SS Murata
1
1
47%
(1.11)
X
34%
(6.43)
2
19%
(15.25)
1X
81%
(1.01)
X2
53%
(4.6)
12
66%
(1.04)
Israel
Maccabi Haifa
Ironi Kiryat Shmona
1
1
52%
(1.36)
X
29%
(4.69)
2
19%
(6.79)
1X
81%
(1.07)
X2
48%
(2.86)
12
71%
(1.15)
Scotland
Inverness
Montrose
1
1
50%
(1.22)
X
31%
(5.46)
2
19%
(10.11)
1X
81%
(1.04)
X2
51%
(3.51)
12
69%
(1.12)
Tunisia
AS Soliman
ES Zarzis
2
1
20%
(3.97)
X
22%
(2.84)
2
58%
(2)
1X
42%
(1.68)
X2
81%
(1.19)
12
78%
(1.32)
Netherlands
Almere City FC
ADO Den Haag
2
1
20%
(3.21)
X
23%
(3.66)
2
57%
(2)
1X
43%
(1.73)
X2
81%
(1.29)
12
77%
(1.25)
England
Sheffield United
West Bromwich
1
1
45%
(1.72)
X
35%
(3.75)
2
20%
(4.67)
1X
80%
(1.16)
X2
55%
(2.07)
12
65%
(1.25)
Portugal
SC Braga
Sporting CP
2
1
20%
(3.44)
X
22%
(3.4)
2
58%
(2.12)
1X
42%
(1.69)
X2
80%
(1.28)
12
78%
(1.29)
Switzerland
Servette
Zurich
1
1
51%
(1.68)
X
29%
(4.02)
2
20%
(4.42)
1X
80%
(1.17)
X2
49%
(2.11)
12
71%
(1.21)
Saudi Arabia
Al-Okhdood
Al-Fayha
2
1
20%
(3.49)
X
23%
(3.32)
2
58%
(2.02)
1X
43%
(1.7)
X2
80%
(1.26)
12
77%
(1.28)
Egypt
Kahraba Ismailia
ENPPI Cairo
2
1
20%
(3.16)
X
22%
(2.92)
2
58%
(2.28)
1X
42%
(1.55)
X2
80%
(1.3)
12
78%
(1.34)
Qatar
Al-Rayyan SC
Al-Shahania SC
1
1
52%
(1.28)
X
28%
(5.25)
2
20%
(7.85)
1X
80%
(1.02)
X2
48%
(3.13)
12
72%
(1.09)
UAE
Baniyas SC
Al-Wasl Dubai
2
1
27%
(4.44)
X
20%
(3.76)
2
53%
(1.61)
1X
47%
(2.1)
X2
73%
(1.16)
12
80%
(1.2)
Switzerland
Sion
Winterthur
1
1
52%
(1.3)
X
28%
(5.34)
2
20%
(8.8)
1X
80%
(1.05)
X2
48%
(3.37)
12
72%
(1.13)
Latvia
FK Liepaja
Riga FC
2
1
20%
(6.39)
X
24%
(4.73)
2
56%
(1.37)
1X
44%
(2.75)
X2
80%
(1.09)
12
76%
(1.14)
Italy
Spezia
Monza
2
1
21%
(3.62)
X
20%
(3.23)
2
59%
(2.05)
1X
41%
(1.72)
X2
79%
(1.24)
12
80%
(1.31)
Indonesia
Borneo Samarinda
Persebaya Surabaya
1
1
46%
(1.71)
X
34%
(3.47)
2
20%
(4.17)
1X
80%
(1.16)
X2
55%
(1.95)
12
66%
(1.23)
Estonia
Parnu Vaprus
Paide Linnameeskond
2
1
20%
(5.94)
X
26%
(4.34)
2
54%
(1.41)
1X
46%
(2.6)
X2
80%
(1.08)
12
74%
(1.16)
England
Charlton
Birmingham
2
1
20%
(3.47)
X
25%
(3.38)
2
54%
(2.1)
1X
46%
(1.69)
X2
80%
(1.27)
12
75%
(1.3)
Montenegro
Sutjeska Niksic
Bokelj Kotor
1
1
46%
(1.58)
X
34%
(3.57)
2
20%
(5.01)
1X
80%
(1.12)
X2
55%
(2.15)
12
66%
(1.23)
England
Wrexham
Chelsea
2
1
20%
(6.45)
X
24%
(4.96)
2
56%
(1.42)
1X
44%
(2.79)
X2
80%
(1.1)
12
76%
(1.17)
Ukraine
Obolon Kiev
Kryvbas Krivoj Rog
2
1
20%
(3.05)
X
29%
(3.19)
2
51%
(2.28)
1X
49%
(1.57)
X2
80%
(1.34)
12
71%
(1.31)
Italy
Venezia
Reggiana 1919
1
1
51%
(1.34)
X
29%
(4.91)
2
20%
(8.25)
1X
80%
(1.05)
X2
50%
(3.15)
12
71%
(1.16)
China
Shanghai Port
Henan FC
1
1
50%
(1.65)
X
30%
(4.2)
2
20%
(4.39)
1X
80%
(1.18)
X2
50%
(2.15)
12
70%
(1.2)
Saudi Arabia
Al-Ettifaq Dammam
Al-Shabab Riyadh
2
1
21%
(2.98)
X
27%
(3.61)
2
53%
(2.14)
1X
48%
(1.61)
X2
79%
(1.33)
12
73%
(1.24)
Romania
Metaloglobus Bucuresti
UTA Arad
2
1
21%
(5.12)
X
22%
(3.72)
2
57%
(1.61)
1X
43%
(2.17)
X2
79%
(1.13)
12
78%
(1.24)
Italy
Cagliari
Como
2
1
21%
(5.57)
X
24%
(3.93)
2
56%
(1.63)
1X
45%
(2.24)
X2
79%
(1.14)
12
76%
(1.24)
Hungary
Zalaegerszegi
Gyori ETO
2
1
21%
(3.44)
X
28%
(3.59)
2
52%
(1.9)
1X
48%
(1.78)
X2
79%
(1.25)
12
73%
(1.23)
Germany
FC Koln
Borussia Dortmund
2
1
23%
(4.24)
X
21%
(4.05)
2
56%
(1.77)
1X
44%
(2.01)
X2
77%
(1.22)
12
79%
(1.23)
Scotland
Edinburgh City
Stranraer
2
1
21%
(3.09)
X
22%
(3.3)
2
58%
(2.1)
1X
43%
(1.65)
X2
79%
(1.32)
12
79%
(1.26)
England
Mansfield
Arsenal
2
1
28%
(25.2)
X
21%
(12.4)
2
51%
(1.07)
1X
49%
(7.9)
X2
72%
(1.01)
12
79%
(1.04)
England
Accrington
Cambridge United
2
1
21%
(4.11)
X
29%
(3.33)
2
50%
(1.87)
1X
51%
(1.84)
X2
79%
(1.18)
12
71%
(1.28)
Czech Republic
Artis Brno
Banik Ostrava B
1
1
46%
(1.6)
X
33%
(3.9)
2
21%
(4.4)
1X
79%
(1.15)
X2
54%
(2.14)
12
67%
(1.2)
Bulgaria
Septemvri Sofia
Cherno more Varna
2
1
21%
(4.38)
X
25%
(3.39)
2
54%
(1.78)
1X
46%
(1.92)
X2
79%
(1.17)
12
75%
(1.26)
Kuwait
Al Jahra SC Jahra
Al Nasr SC Kuwait
2
1
21%
(3.2)
X
26%
(3.3)
2
53%
(1.97)
1X
47%
(1.63)
X2
79%
(1.23)
12
74%
(1.22)
Chile
O'Higgins Rancagua
Universidad Catolica
2
1
21%
(4.29)
X
26%
(3.51)
2
53%
(1.78)
1X
47%
(1.95)
X2
79%
(1.18)
12
74%
(1.25)
Spain
Athletic Bilbao
Barcelona
2
1
21%
(4.67)
X
24%
(4.38)
2
54%
(1.65)
1X
46%
(2.19)
X2
79%
(1.18)
12
76%
(1.2)
France
Saint Etienne
Red Star Paris
1
1
45%
(1.74)
X
34%
(3.72)
2
22%
(4.35)
1X
79%
(1.18)
X2
55%
(2.02)
12
66%
(1.25)
UAE
Shabab Al-Ahli Dubai
Al-Wahda Abu Dhabi
1
1
49%
(1.7)
X
30%
(3.67)
2
22%
(4.03)
1X
78%
(1.18)
X2
51%
(1.97)
12
70%
(1.21)
Ukraine
Epitsentr Kamianets-Podilskyi
Kolos Kovalivka
2
1
22%
(3.79)
X
23%
(3.19)
2
55%
(1.98)
1X
45%
(1.76)
X2
78%
(1.25)
12
77%
(1.31)
Peru
Sporting Cristal
Alianza Atletico
1
1
41%
(1.66)
X
37%
(3.47)
2
22%
(4.91)
1X
78%
(1.13)
X2
59%
(2.08)
12
63%
(1.26)
China
Yunnan Yukun
Qingdao Hainiu
1
1
47%
(1.63)
X
31%
(4.02)
2
22%
(4.78)
1X
78%
(1.17)
X2
53%
(2.19)
12
69%
(1.22)
Thailand
Nakhon Ratchasima FC
Buriram United
2
1
22%
(8.45)
X
27%
(5.19)
2
51%
(1.25)
1X
49%
(3.33)
X2
78%
(1.04)
12
73%
(1.1)
France
Troyes
Clermont Foot
1
1
44%
(1.68)
X
34%
(3.75)
2
22%
(4.77)
1X
78%
(1.16)
X2
56%
(2.1)
12
66%
(1.25)
Estonia
Narva Trans
Harju JK Laagri
1
1
50%
(1.67)
X
28%
(3.72)
2
22%
(4.09)
1X
78%
(1.18)
X2
50%
(1.95)
12
72%
(1.21)
Mexico
Venados
Correcaminos UAT
1
1
47%
(1.47)
X
31%
(4.25)
2
22%
(5.12)
1X
78%
(1.12)
X2
53%
(2.41)
12
69%
(1.17)
Mexico
Queretaro
Club America Mexico
2
1
22%
(4.33)
X
27%
(3.44)
2
51%
(1.82)
1X
49%
(1.89)
X2
78%
(1.19)
12
73%
(1.27)
Poland
Gornik Leczna
Wieczysta Krakow
2
1
22%
(3.59)
X
23%
(3.67)
2
55%
(1.82)
1X
45%
(1.84)
X2
78%
(1.21)
12
77%
(1.22)
Spain
Real Sociedad B
Castellon
2
1
22%
(3.78)
X
25%
(3.57)
2
52%
(1.85)
1X
48%
(1.86)
X2
78%
(1.22)
12
75%
(1.25)
England
Bradford
Leyton Orient
1
1
41%
(1.78)
X
36%
(3.54)
2
22%
(4.38)
1X
78%
(1.17)
X2
59%
(1.95)
12
64%
(1.26)
UAE
Al Sharjah SC
Dibba Al Fujairah
1
1
47%
(1.48)
X
30%
(4.04)
2
22%
(5.43)
1X
78%
(1.11)
X2
53%
(2.39)
12
70%
(1.16)
India
Mohammedan Kolkata
Bengaluru FC
2
1
24%
(8.31)
X
22%
(4.7)
2
54%
(1.31)
1X
46%
(3.08)
X2
76%
(1.05)
12
78%
(1.13)
Germany
Paderborn
Eintracht Braunschweig
1
1
46%
(1.48)
X
31%
(4.39)
2
23%
(5.98)
1X
77%
(1.11)
X2
54%
(2.53)
12
69%
(1.18)
Qatar
Al-Sadd SC Doha
Umm-Salal SC
1
1
51%
(1.17)
X
27%
(7.2)
2
23%
(9.2)
1X
77%
X2
49%
12
73%
Italy
Modena
Cesena
1
1
46%
(1.81)
X
32%
(3.31)
2
23%
(4.47)
1X
77%
(1.17)
X2
54%
(1.94)
12
69%
(1.28)
England
Crawley
Swindon
2
1
23%
(2.97)
X
26%
(3.55)
2
52%
(2.17)
1X
48%
(1.61)
X2
77%
(1.34)
12
74%
(1.26)
Scotland
Alloa Athletic
Kelty Hearts
1
1
46%
(1.65)
X
31%
(3.62)
2
23%
(4.66)
1X
77%
(1.14)
X2
54%
(2.1)
12
69%
(1.24)
Armenia
Alashkert
Ararat-Armenia
2
1
23%
(3.27)
X
31%
(3.15)
2
46%
(2.05)
1X
54%
(1.64)
X2
77%
(1.26)
12
69%
(1.29)
Montenegro
Jedinstvo Bijelo Polje
Mornar Bar
2
1
23%
(3.37)
X
28%
(2.96)
2
49%
(2.09)
1X
51%
(1.6)
X2
77%
(1.24)
12
72%
(1.3)
Denmark
Middelfart
Hvidovre
2
1
23%
(3.88)
X
24%
(3.45)
2
53%
(1.83)
1X
47%
(1.87)
X2
77%
(1.2)
12
76%
(1.27)
Mexico
Atlante
Atletico Morelia
1
1
40%
(1.6)
X
37%
(3.59)
2
23%
(4.88)
1X
77%
(1.13)
X2
60%
(2.14)
12
63%
(1.22)
Japan
Matsumoto Yamaga
Consadole Sapporo
2
1
23%
(3.35)
X
24%
(3.32)
2
53%
(1.98)
1X
47%
(1.7)
X2
77%
(1.26)
12
77%
(1.24)
Denmark
Hillerod
B.93 Copenhagen
1
1
45%
(1.66)
X
32%
(4)
2
23%
(4.17)
1X
77%
(1.17)
X2
55%
(2.1)
12
68%
(1.2)
Slovakia
Inter Bratislava
Slovan Bratislava B
1
1
45%
(1.51)
X
32%
(4.04)
2
23%
(5.05)
1X
77%
(1.1)
X2
55%
(2.35)
12
68%
(1.19)
Israel
Hapoel Petah Tikva
Hapoel Tel Aviv
2
1
23%
(3.58)
X
26%
(3.52)
2
51%
(1.91)
1X
49%
(1.81)
X2
77%
(1.24)
12
74%
(1.26)
England
Newport County
Colchester
2
1
23%
(4.15)
X
24%
(3.51)
2
53%
(1.81)
1X
47%
(1.88)
X2
77%
(1.19)
12
76%
(1.27)
Italy
Renate
Lumezzane
1
1
44%
(1.76)
X
33%
(3.33)
2
23%
(4.15)
1X
77%
(1.15)
X2
56%
(1.88)
12
67%
(1.25)
France
Toulouse
Marseille
2
1
23%
(3.05)
X
26%
(3.54)
2
51%
(2.29)
1X
49%
(1.61)
X2
77%
(1.35)
12
74%
(1.29)
Belarus
Isloch Minsk Raion
Dinamo Minsk
2
1
23%
(4.48)
X
29%
(3.51)
2
48%
(1.67)
1X
52%
(2.06)
X2
77%
(1.16)
12
72%
(1.25)
Scotland
Greenock Morton
Saint Johnstone
2
1
24%
(5.44)
X
29%
(3.84)
2
48%
(1.53)
1X
52%
(2.29)
X2
76%
(1.11)
12
71%
(1.21)
Germany
Schweinfurt 05
Ulm 1846
2
1
24%
(3.46)
X
28%
(3.66)
2
48%
(1.91)
1X
52%
(1.76)
X2
76%
(1.24)
12
72%
(1.23)
Belgium
RSCA Futures
Patro Eisden Maasmechelen
2
1
24%
(3.87)
X
25%
(3.64)
2
51%
(1.75)
1X
49%
(1.91)
X2
76%
(1.2)
12
75%
(1.23)
Vietnam
Song Lam Nghe An
Hai Phong
2
1
28%
(3.27)
X
24%
(2.9)
2
48%
(2.18)
1X
52%
(1.59)
X2
72%
(1.27)
12
76%
(1.32)
England
Walsall
Notts County
2
1
26%
(3.17)
X
24%
(3.22)
2
50%
(2.2)
1X
50%
(1.59)
X2
74%
(1.31)
12
76%
(1.3)
Scotland
East Kilbride
Elgin City
1
1
46%
(1.59)
X
30%
(4.1)
2
24%
(4.41)
1X
76%
(1.16)
X2
55%
(2.19)
12
70%
(1.19)
England
Hull City
Millwall
2
1
37%
(3.08)
X
25%
(3.31)
2
38%
(2.3)
1X
62%
(1.57)
X2
63%
(1.35)
12
76%
(1.31)
Belgium
Dender
Charleroi
2
1
28%
(3.14)
X
25%
(3.37)
2
48%
(2.2)
1X
53%
(1.62)
X2
72%
(1.33)
12
75%
(1.29)
Kazakhstan
Okzhetpes Kokshetau
Yelimay Semey
2
1
28%
(3.08)
X
25%
(3.5)
2
47%
(2.02)
1X
53%
(1.68)
X2
72%
(1.32)
12
75%
(1.26)
Mexico
Cruz Azul
Atletico San Luis
1
1
47%
(1.46)
X
28%
(4.51)
2
25%
(6.16)
1X
75%
(1.1)
X2
53%
(2.57)
12
72%
(1.17)
Paraguay
Guarani Asuncion
Cerro Porteno
2
1
25%
(3.52)
X
27%
(3.27)
2
48%
(1.98)
1X
52%
(1.73)
X2
75%
(1.25)
12
73%
(1.28)
Poland
Miedz Legnica
Stal Rzeszow
1
1
42%
(1.63)
X
34%
(4.08)
2
25%
(4.16)
1X
75%
(1.16)
X2
59%
(2.09)
12
66%
(1.18)
Serbia
Javor Ivanjica
FK Cukaricki
2
1
25%
(3.08)
X
25%
(3.1)
2
50%
(2.15)
1X
50%
(1.58)
X2
75%
(1.3)
12
75%
(1.29)
England
Yeovil
Scunthorpe
2
1
25%
(3.27)
X
28%
(3.43)
2
47%
(1.95)
1X
53%
(1.72)
X2
75%
(1.25)
12
72%
(1.25)
England
Solihull Moors
Gateshead
1
1
43%
(1.6)
X
32%
(4.04)
2
25%
(4.22)
1X
75%
(1.15)
X2
57%
(2.15)
12
68%
(1.18)
Northern Ireland
Loughgall
Cliftonville
2
1
25%
(4.2)
X
28%
(3.75)
2
47%
(1.65)
1X
53%
(2.03)
X2
75%
(1.18)
12
72%
(1.21)
Belgium
Lommel
Kortrijk
2
1
26%
(3)
X
25%
(3.27)
2
49%
(2.14)
1X
51%
(1.59)
X2
74%
(1.32)
12
75%
(1.27)
England
Tranmere Rovers
Oldham
2
1
29%
(3.49)
X
26%
(3.42)
2
45%
(2)
1X
55%
(1.71)
X2
71%
(1.26)
12
74%
(1.27)
Mexico
Mazatlan
Leon
2
1
28%
(3.06)
X
26%
(3.44)
2
46%
(2.19)
1X
54%
(1.61)
X2
72%
(1.33)
12
74%
(1.27)
India
Gokulam Kerala FC
Namdhari FC
1
1
46%
(1.69)
X
28%
(3.64)
2
26%
(4.03)
1X
74%
(1.18)
X2
54%
(1.99)
12
72%
(1.2)
Portugal
Oliveirense
Torreense
2
1
36%
(3.26)
X
26%
(3.25)
2
39%
(2.03)
1X
61%
(1.65)
X2
65%
(1.27)
12
74%
(1.27)
Czech Republic
MFK Chrudim
SFC Opava
2
1
26%
(3.09)
X
27%
(3.23)
2
47%
(2.09)
1X
53%
(1.63)
X2
74%
(1.31)
12
73%
(1.26)
Scotland
Dumbarton
The Spartans
2
1
28%
(3.78)
X
26%
(3.38)
2
45%
(1.86)
1X
55%
(1.87)
X2
72%
(1.2)
12
74%
(1.27)
Germany
Mainz
Stuttgart
2
1
27%
(3.2)
X
28%
(3.77)
2
45%
(2.14)
1X
55%
(1.7)
X2
73%
(1.34)
12
72%
(1.26)
Slovakia
FK Puchov
MSK Zilina B
1
1
43%
(1.73)
X
31%
(3.82)
2
27%
(3.75)
1X
73%
(1.22)
X2
58%
(1.89)
12
69%
(1.22)
Bulgaria
Yantra Gabrovo
Sportist Svoge
1
1
41%
(1.48)
X
32%
(3.54)
2
27%
(6.77)
1X
73%
(1.06)
X2
59%
(2.33)
12
68%
(1.21)
Peru
Cusco FC
Deportivo Garcilaso
1
1
37%
(1.85)
X
36%
(3.41)
2
27%
(3.83)
1X
73%
(1.22)
X2
63%
(1.81)
12
64%
(1.27)
France
Auxerre
Strasbourg
2
1
28%
(3.55)
X
27%
(3.4)
2
45%
(2.12)
1X
55%
(1.71)
X2
72%
(1.28)
12
73%
(1.3)
Venezuela
Caracas FC
Deportivo Tachira
2
1
28%
(3.15)
X
30%
(3.16)
2
42%
(2.1)
1X
58%
(1.58)
X2
72%
(1.28)
12
70%
(1.29)
Chile
Audax Italiano
Colo-Colo Santiago
2
1
28%
(3.56)
X
31%
(3.42)
2
41%
(1.97)
1X
59%
(1.75)
X2
72%
(1.25)
12
69%
(1.26)
Germany
Wehen Wiesbaden
Stuttgart II
1
1
43%
(2.16)
X
28%
(3.57)
2
29%
(2.88)
1X
72%
(1.34)
X2
57%
(1.58)
12
72%
(1.23)
England
Rochdale
Boston United
1
1
37%
(1.47)
X
35%
(3.96)
2
28%
(5.62)
1X
72%
(1.1)
X2
63%
(2.31)
12
65%
(1.19)
Peru
Los Chankas CYC
Universitario de Deportes
2
1
32%
(4.28)
X
29%
(3.27)
2
39%
(1.81)
1X
61%
(1.86)
X2
68%
(1.17)
12
72%
(1.3)
Montenegro
Mladost Donja Gorica
Buducnost Podgorica
2
1
36%
(3.56)
X
29%
(3.09)
2
36%
(1.97)
1X
64%
(1.69)
X2
64%
(1.23)
12
71%
(1.29)
USA
New York City
Orlando City
1
1
42%
(1.78)
X
30%
(3.93)
2
29%
(4.12)
1X
71%
(1.21)
X2
58%
(2)
12
70%
(1.23)
England
Bristol City
Coventry
2
1
30%
(3.5)
X
30%
(3.64)
2
41%
(1.99)
1X
60%
(1.77)
X2
70%
(1.27)
12
70%
(1.26)
Malta
Zabbar St. Patrick
Mosta FC
1
1
39%
(1.82)
X
31%
(3.26)
2
30%
(3.89)
1X
70%
(1.2)
X2
61%
(1.81)
12
69%
(1.27)
England
Burton Albion
Stevenage
1
1
35%
(2.73)
X
31%
(3.1)
2
34%
(2.6)
1X
66%
(1.44)
X2
65%
(1.39)
12
69%
(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.