Updated on March 21, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Turkey
Keciorengucu
Adana Demirspor
1
1
77%
(1.02)
X
16%
(13)
2
7%
(28)
1X
93%
X2
23%
12
84%
Serbia
Crvena zvezda Belgrade
Radnicki Nis
1
1
67%
(1.07)
X
23%
(9.43)
2
10%
(19.25)
1X
90%
(1.02)
X2
33%
(6.92)
12
77%
(1.06)
Bulgaria
Vihren Sandanski
Chernomorets Burgas
1
1
63%
(1.66)
X
26%
(3.44)
2
11%
(4.55)
1X
89%
(1.14)
X2
37%
(1.98)
12
74%
(1.23)
Scotland
Rangers
Aberdeen
1
1
59%
(1.27)
X
27%
(5.71)
2
14%
(9.55)
1X
86%
(1.04)
X2
41%
(3.55)
12
73%
(1.11)
Latvia
RFS Riga
BFC Daugavpils
1
1
62%
(1.12)
X
24%
(7.54)
2
14%
(13.4)
1X
86%
(1.02)
X2
38%
(4.89)
12
76%
(1.05)
Portugal
Benfica
Vitoria Guimaraes
1
1
60%
(1.26)
X
25%
(6.09)
2
14%
(10.1)
1X
86%
(1.04)
X2
40%
(3.75)
12
75%
(1.11)
Italy
Juventus
Sassuolo
1
1
57%
(1.3)
X
29%
(5.64)
2
14%
(9.99)
1X
86%
(1.04)
X2
43%
(3.67)
12
71%
(1.12)
Bosnia and Herzegovina
Borac Banja Luka
Radnik Bijeljina
1
1
55%
(1.13)
X
30%
(6.27)
2
15%
(14.4)
1X
86%
(1.01)
X2
45%
(4.53)
12
70%
(1.07)
Russia
FK Krasnodar
Pari Nizhny Novgorod
1
1
60%
(1.31)
X
25%
(5.57)
2
15%
(10.3)
1X
85%
(1.06)
X2
40%
(3.5)
12
75%
(1.16)
Russia
CSKA Moskva
Dynamo Makhachkala
1
1
57%
(1.64)
X
28%
(3.85)
2
15%
(6.03)
1X
85%
(1.14)
X2
43%
(2.33)
12
72%
(1.26)
Portugal
Famalicao
Nacional
1
1
54%
(1.65)
X
30%
(3.96)
2
15%
(5.1)
1X
85%
(1.15)
X2
46%
(2.21)
12
70%
(1.22)
Brazil
Fluminense RJ
Atletico MG
1
1
56%
(1.75)
X
29%
(3.64)
2
15%
(4.66)
1X
85%
(1.18)
X2
44%
(2.02)
12
71%
(1.27)
England
Lincoln
Rotherham
1
1
58%
(1.34)
X
27%
(4.88)
2
15%
(7.98)
1X
85%
(1.06)
X2
42%
(3.08)
12
73%
(1.15)
Germany
Borussia Dortmund
Hamburger
1
1
61%
(1.4)
X
23%
(5.05)
2
16%
(7.35)
1X
84%
(1.09)
X2
39%
(2.87)
12
77%
(1.17)
Wales
Connah's Quay Nomads
Pen-y-Bont FC
1
1
58%
(1.56)
X
27%
(3.79)
2
16%
(4.92)
1X
84%
(1.13)
X2
42%
(2.21)
12
74%
(1.2)
Bulgaria
Levski Sofia
Cherno more Varna
1
1
50%
(1.41)
X
33%
(4.08)
2
17%
(7.49)
1X
83%
(1.06)
X2
50%
(2.67)
12
67%
(1.19)
England
Blackburn
Middlesbrough
2
1
17%
(4.04)
X
21%
(3.58)
2
62%
(1.86)
1X
38%
(1.88)
X2
83%
(1.21)
12
79%
(1.27)
South Africa
Kaizer Chiefs
Magesi
1
1
51%
(1.67)
X
32%
(3.21)
2
17%
(5.4)
1X
83%
(1.11)
X2
49%
(2.05)
12
68%
(1.27)
Azerbaijan
Turan Tovuz
Gabala SC
1
1
52%
(1.51)
X
31%
(3.64)
2
17%
(5.53)
1X
83%
(1.09)
X2
48%
(2.27)
12
69%
(1.2)
Andorra
Penya Encarnada
FC Santa Coloma
2
1
17%
(11.3)
X
19%
(5)
2
64%
(1.23)
1X
36%
(3.33)
X2
83%
(1.02)
12
81%
(1.1)
Switzerland
Aarau
Neuchatel Xamax
1
1
51%
(1.52)
X
32%
(4.04)
2
17%
(5.09)
1X
83%
(1.12)
X2
49%
(2.35)
12
68%
(1.2)
Scotland
Hearts
Dundee FC
1
1
54%
(1.41)
X
29%
(4.55)
2
17%
(7.15)
1X
83%
(1.08)
X2
47%
(2.76)
12
71%
(1.17)
Norway
Viking Stavanger
Molde
1
1
56%
(1.79)
X
26%
(3.62)
2
17%
(4.27)
1X
83%
(1.2)
X2
44%
(1.95)
12
74%
(1.25)
Italy
Milan
Torino
1
1
52%
(1.38)
X
31%
(4.9)
2
18%
(8.6)
1X
82%
(1.06)
X2
48%
(3.04)
12
69%
(1.17)
Serbia
Vojvodina Novi Sad
Napredak Krusevac
1
1
51%
(1.17)
X
31%
(6.02)
2
18%
(12.3)
1X
82%
(1.03)
X2
49%
(4.22)
12
69%
(1.08)
Bulgaria
Dunav Ruse
Pirin Blagoevgrad
1
1
43%
(1.31)
X
39%
(4.36)
2
18%
(8.18)
1X
82%
(1.04)
X2
57%
(2.86)
12
61%
(1.14)
England
Tranmere Rovers
Swindon
2
1
22%
(3.74)
X
18%
(3.62)
2
60%
(1.87)
1X
40%
(1.83)
X2
78%
(1.22)
12
82%
(1.25)
Bulgaria
CSKA Sofia II
Hebar Pazardzhik
1
1
46%
(1.58)
X
36%
(3.7)
2
18%
(4.72)
1X
82%
(1.13)
X2
54%
(2.1)
12
64%
(1.19)
Guatemala
Coban Imperial
Deportivo Mixco
1
1
50%
(1.76)
X
32%
(3.14)
2
18%
(4.42)
1X
82%
(1.15)
X2
50%
(1.87)
12
68%
(1.28)
China
Henan FC
Wuhan Three Towns
1
1
55%
(1.44)
X
27%
(4.67)
2
18%
(6.08)
1X
82%
(1.11)
X2
45%
(2.65)
12
74%
(1.17)
England
Notts County
Cheltenham
1
1
50%
(1.56)
X
32%
(3.92)
2
19%
(5.58)
1X
82%
(1.11)
X2
51%
(2.31)
12
68%
(1.21)
South Korea
Cheonan City
Seoul E-Land
2
1
19%
(3.96)
X
21%
(3.17)
2
60%
(1.85)
1X
40%
(1.8)
X2
81%
(1.18)
12
79%
(1.27)
Scotland
East Kilbride
Stirling Albion
1
1
48%
(1.3)
X
33%
(5.01)
2
19%
(7.26)
1X
81%
(1.06)
X2
52%
(3.25)
12
67%
(1.11)
Turkey
Serikspor
Sakaryaspor
2
1
21%
(2.76)
X
19%
(3.41)
2
60%
(2.19)
1X
40%
(1.54)
X2
79%
(1.35)
12
81%
(1.25)
Croatia
Lokomotiva Zagreb
Dinamo Zagreb
2
1
19%
(7.11)
X
25%
(4.54)
2
56%
(1.37)
1X
44%
(2.75)
X2
81%
(1.06)
12
75%
(1.16)
San Marino
SS Pennarossa
SS Murata
1
1
53%
(1.56)
X
28%
(4.4)
2
19%
(4.02)
1X
81%
(1.16)
X2
47%
(2.23)
12
72%
(1.16)
England
Cardiff
Blackpool
1
1
52%
(1.38)
X
29%
(4.81)
2
19%
(6.94)
1X
81%
(1.07)
X2
48%
(2.88)
12
71%
(1.15)
France
Saint Etienne
Annecy
1
1
47%
(1.77)
X
34%
(3.66)
2
19%
(4.3)
1X
81%
(1.19)
X2
53%
(1.97)
12
66%
(1.26)
England
Forest Green
Wealdstone
1
1
57%
(1.52)
X
24%
(4.06)
2
19%
(4.88)
1X
81%
(1.14)
X2
43%
(2.22)
12
76%
(1.18)
San Marino
SS Cosmos
SP Cailungo
1
1
49%
(1.31)
X
32%
(4.53)
2
19%
(8.12)
1X
81%
(1.05)
X2
51%
(3.02)
12
68%
(1.14)
Czech Republic
Artis Brno
Usti nad Labem
1
1
50%
(1.54)
X
31%
(4.01)
2
19%
(4.71)
1X
81%
(1.13)
X2
50%
(2.21)
12
69%
(1.18)
England
Southampton
Oxford United
1
1
45%
(1.53)
X
36%
(4.27)
2
19%
(5.79)
1X
81%
(1.1)
X2
55%
(2.46)
12
65%
(1.19)
Belgium
SK Beveren
RFC Liege
1
1
48%
(1.37)
X
33%
(4.39)
2
19%
(6.98)
1X
81%
(1.07)
X2
52%
(2.76)
12
67%
(1.15)
Italy
Modena
Mantova
1
1
50%
(1.67)
X
30%
(3.66)
2
19%
(4.89)
1X
81%
(1.15)
X2
50%
(2.12)
12
70%
(1.24)
Thailand
Chonburi
Sukhothai FC
1
1
56%
(1.56)
X
25%
(3.79)
2
20%
(4.84)
1X
80%
(1.13)
X2
44%
(2.18)
12
75%
(1.21)
England
Grimsby
Barrow
1
1
53%
(1.56)
X
28%
(4)
2
20%
(5.4)
1X
80%
(1.11)
X2
47%
(2.32)
12
72%
(1.2)
Peru
Alianza Lima
Juan Pablo II College
1
1
49%
(1.23)
X
31%
(5.45)
2
20%
(10.13)
1X
80%
(1.04)
X2
51%
(3.62)
12
69%
(1.11)
Italy
Renate
LR Vicenza
2
1
20%
(3.07)
X
22%
(3.06)
2
58%
(2.16)
1X
42%
(1.57)
X2
80%
(1.26)
12
78%
(1.29)
England
Port Vale
Bolton
2
1
20%
(5.59)
X
27%
(4.15)
2
53%
(1.52)
1X
47%
(2.41)
X2
80%
(1.11)
12
73%
(1.2)
England
Ipswich
Millwall
1
1
45%
(1.66)
X
35%
(3.89)
2
20%
(4.96)
1X
80%
(1.15)
X2
55%
(2.16)
12
65%
(1.23)
Estonia
Nomme Kalju
Kuressaare
1
1
52%
(1.23)
X
28%
(5.32)
2
20%
(9.23)
1X
80%
(1.04)
X2
48%
(3.53)
12
72%
(1.09)
Netherlands
Sparta Rotterdam
FC Volendam
1
1
46%
(1.46)
X
34%
(4.74)
2
20%
(6.11)
1X
80%
(1.11)
X2
54%
(2.65)
12
66%
(1.18)
Poland
Jagiellonia Bialystok
Wisla Plock
1
1
53%
(1.61)
X
27%
(3.97)
2
20%
(5.07)
1X
80%
(1.13)
X2
47%
(2.25)
12
73%
(1.21)
Italy
Union Brescia
Ospitaletto
1
1
43%
(1.53)
X
37%
(3.62)
2
20%
(5.48)
1X
80%
(1.08)
X2
57%
(2.26)
12
64%
(1.22)
Germany
Bayern Munchen
Union Berlin
1
1
55%
(1.16)
X
24%
(8.88)
2
20%
(14.8)
1X
80%
(1.03)
X2
45%
(5.11)
12
76%
(1.06)
England
Hull City
Sheffield Wednesday
1
1
46%
(1.35)
X
34%
(5.05)
2
20%
(8.02)
1X
80%
(1.06)
X2
54%
(3.08)
12
67%
(1.15)
England
Swansea
Coventry
2
1
26%
(3.15)
X
20%
(3.44)
2
54%
(2.21)
1X
46%
(1.63)
X2
74%
(1.32)
12
80%
(1.28)
San Marino
SS San Giovanni
SC Faetano
1
1
45%
(1.61)
X
35%
(3.69)
2
20%
(4.54)
1X
80%
(1.12)
X2
55%
(2.21)
12
65%
(1.18)
England
Everton
Chelsea
2
1
20%
(3.43)
X
26%
(3.42)
2
54%
(2.18)
1X
46%
(1.7)
X2
80%
(1.3)
12
74%
(1.3)
Czech Republic
SFC Opava
Vysocina Jihlava
1
1
50%
(1.67)
X
30%
(3.53)
2
21%
(4.41)
1X
79%
(1.15)
X2
50%
(1.97)
12
71%
(1.22)
Montenegro
Sutjeska Niksic
Mladost Donja Gorica
1
1
49%
(1.54)
X
31%
(3.58)
2
21%
(5.4)
1X
79%
(1.11)
X2
51%
(2.27)
12
70%
(1.22)
Uruguay
Penarol Montevideo
Cerro Montevideo
1
1
45%
(1.37)
X
34%
(4.21)
2
21%
(8.33)
1X
79%
(1.05)
X2
55%
(2.83)
12
66%
(1.18)
Switzerland
Zurich
Thun
2
1
21%
(4.47)
X
23%
(3.89)
2
56%
(1.7)
1X
44%
(2.13)
X2
79%
(1.17)
12
77%
(1.21)
England
Oldham
Harrogate Town
1
1
44%
(1.6)
X
35%
(3.82)
2
21%
(5.27)
1X
79%
(1.12)
X2
56%
(2.22)
12
65%
(1.21)
Italy
Padova
Palermo
2
1
21%
(4.5)
X
26%
(3.43)
2
53%
(1.77)
1X
47%
(1.97)
X2
79%
(1.16)
12
74%
(1.27)
Uruguay
Montevideo City Torque
Central Espanol
1
1
50%
(1.78)
X
28%
(3.35)
2
21%
(4.34)
1X
79%
(1.17)
X2
50%
(1.91)
12
72%
(1.27)
Belarus
Neman Grodno
BATE Borisov
1
1
45%
(1.65)
X
34%
(3.63)
2
22%
(4.53)
1X
79%
(1.16)
X2
55%
(2.08)
12
66%
(1.23)
Montenegro
Bokelj Kotor
Buducnost Podgorica
2
1
29%
(4.8)
X
22%
(3.34)
2
50%
(1.66)
1X
50%
(2.04)
X2
71%
(1.13)
12
78%
(1.26)
England
Sutton United
Truro City
1
1
42%
(1.72)
X
36%
(3.65)
2
22%
(3.94)
1X
78%
(1.18)
X2
58%
(1.95)
12
64%
(1.22)
Cyprus
Aris Limassol
Omonia Nicosia
2
1
22%
(3.37)
X
24%
(3.42)
2
54%
(1.95)
1X
46%
(1.74)
X2
78%
(1.27)
12
76%
(1.26)
Japan
Oita Trinita
FC Ryukyu
1
1
45%
(1.68)
X
33%
(3.41)
2
22%
(4.8)
1X
78%
(1.14)
X2
55%
(2.02)
12
67%
(1.24)
Belarus
Slavia Mozyr
Dinamo Minsk
2
1
22%
(3.11)
X
24%
(3.03)
2
54%
(2.17)
1X
46%
(1.6)
X2
78%
(1.31)
12
76%
(1.32)
England
Fulham
Burnley
1
1
46%
(1.57)
X
32%
(4.12)
2
22%
(6.12)
1X
78%
(1.12)
X2
54%
(2.39)
12
68%
(1.22)
Paraguay
Guarani Asuncion
Olimpia Asuncion
2
1
22%
(3.1)
X
27%
(3.09)
2
51%
(2.24)
1X
49%
(1.56)
X2
78%
(1.3)
12
73%
(1.32)
England
Braintree
Scunthorpe
2
1
22%
(4.36)
X
24%
(3.98)
2
54%
(1.59)
1X
46%
(2.16)
X2
78%
(1.14)
12
76%
(1.19)
Kazakhstan
Zhetysu Taldykorgan
Kairat Almaty
2
1
22%
(5.92)
X
24%
(4.19)
2
54%
(1.42)
1X
46%
(2.48)
X2
78%
(1.09)
12
76%
(1.18)
Ireland
Sligo Rovers
Shelbourne
2
1
22%
(4.47)
X
26%
(3.51)
2
52%
(1.76)
1X
48%
(1.97)
X2
78%
(1.17)
12
74%
(1.27)
Portugal
Maritimo
Oliveirense
1
1
41%
(1.35)
X
37%
(4.46)
2
22%
(7.33)
1X
78%
(1.06)
X2
59%
(2.86)
12
63%
(1.15)
Denmark
HB Koge
Lyngby
2
1
22%
(5.23)
X
26%
(4.24)
2
52%
(1.49)
1X
48%
(2.41)
X2
78%
(1.11)
12
74%
(1.19)
Serbia
Javor Ivanjica
FK Novi Pazar
2
1
22%
(3.18)
X
26%
(3.13)
2
52%
(2.1)
1X
48%
(1.61)
X2
78%
(1.28)
12
74%
(1.29)
Mexico
Atletico La Paz
Alebrijes de Oaxaca
1
1
46%
(1.65)
X
31%
(3.7)
2
22%
(4.38)
1X
78%
(1.15)
X2
54%
(2.07)
12
69%
(1.22)
Uruguay
Defensor Sporting
Nacional Montevideo
2
1
23%
(3.94)
X
22%
(3.28)
2
54%
(1.89)
1X
46%
(1.81)
X2
77%
(1.2)
12
78%
(1.28)
Turkey
Manisa FK
Sivasspor
2
1
22%
(2.97)
X
25%
(3.37)
2
53%
(2.09)
1X
47%
(1.6)
X2
78%
(1.32)
12
75%
(1.25)
England
Altrincham
Southend
2
1
23%
(4.15)
X
22%
(3.78)
2
54%
(1.66)
1X
46%
(2.04)
X2
77%
(1.18)
12
78%
(1.19)
Cyprus
Anorthosis Famagusta
Akritas Chloraka
1
1
45%
(1.46)
X
32%
(3.96)
2
22%
(5.89)
1X
78%
(1.1)
X2
55%
(2.42)
12
68%
(1.2)
Bulgaria
CSKA 1948 Sofia
Lokomotiv Sofia
1
1
40%
(1.69)
X
38%
(3.65)
2
23%
(4.48)
1X
78%
(1.16)
X2
61%
(2.01)
12
62%
(1.24)
Japan
Avispa Fukuoka
Gamba Osaka
2
1
23%
(3.2)
X
26%
(3.21)
2
51%
(2.19)
1X
49%
(1.61)
X2
78%
(1.3)
12
74%
(1.31)
China
Yunnan Yukun
Shandong Taishan
2
1
27%
(3.67)
X
23%
(3.45)
2
51%
(1.95)
1X
49%
(1.81)
X2
73%
(1.25)
12
78%
(1.26)
France
Nice
Paris Saint Germain
2
1
23%
(6.77)
X
27%
(5.18)
2
51%
(1.42)
1X
49%
(2.87)
X2
78%
(1.09)
12
73%
(1.15)
Germany
Heidenheim
Bayer Leverkusen
2
1
23%
(5.35)
X
23%
(4.49)
2
55%
(1.58)
1X
45%
(2.36)
X2
77%
(1.15)
12
77%
(1.2)
Turkey
Umraniyespor
Pendikspor
2
1
23%
(2.99)
X
26%
(3.32)
2
52%
(2.11)
1X
48%
(1.61)
X2
77%
(1.31)
12
74%
(1.25)
Germany
Jahn Regensburg
Havelse
1
1
44%
(1.48)
X
34%
(4.53)
2
23%
(5.22)
1X
77%
(1.11)
X2
56%
(2.41)
12
67%
(1.15)
Moldova
FC Balti
Zimbru Chisinau
2
1
23%
(5.68)
X
27%
(3.94)
2
50%
(1.46)
1X
50%
(2.35)
X2
77%
(1.09)
12
73%
(1.18)
Guatemala
Deportivo Achuapa
Deportivo Mictlan
1
1
44%
(1.77)
X
33%
(3.28)
2
23%
(4.13)
1X
77%
(1.16)
X2
56%
(1.87)
12
67%
(1.25)
Mexico
Tepatitlan
Venados
1
1
46%
(1.64)
X
31%
(3.86)
2
23%
(4.28)
1X
77%
(1.17)
X2
54%
(2.09)
12
69%
(1.2)
Scotland
Alloa Athletic
Inverness
2
1
24%
(4.61)
X
23%
(3.82)
2
53%
(1.61)
1X
47%
(2.16)
X2
76%
(1.14)
12
77%
(1.22)
Netherlands
Fortuna Sittard
Twente
2
1
23%
(5.35)
X
26%
(4.37)
2
51%
(1.55)
1X
49%
(2.4)
X2
77%
(1.14)
12
74%
(1.2)
Spain
Racing Santander
Albacete
1
1
44%
(1.76)
X
33%
(3.73)
2
23%
(4)
1X
77%
(1.21)
X2
56%
(1.93)
12
68%
(1.23)
Australia
Melbourne Victory
Central Coast Mariners
1
1
42%
(1.41)
X
35%
(4.83)
2
23%
(6.78)
1X
77%
(1.09)
X2
58%
(2.78)
12
65%
(1.16)
Scotland
Arbroath
Queen's Park
1
1
43%
(1.8)
X
34%
(3.28)
2
24%
(4.29)
1X
77%
(1.17)
X2
57%
(1.88)
12
66%
(1.28)
Germany
Paderborn
Dynamo Dresden
1
1
43%
(1.77)
X
34%
(3.9)
2
24%
(4.15)
1X
77%
(1.21)
X2
57%
(1.98)
12
66%
(1.24)
USA
Nashville SC
Orlando City
1
1
49%
(1.5)
X
28%
(4.57)
2
24%
(5.69)
1X
77%
(1.12)
X2
51%
(2.53)
12
73%
(1.18)
Switzerland
Servette
Grasshopper
1
1
44%
(1.79)
X
33%
(3.69)
2
24%
(4.21)
1X
76%
(1.18)
X2
56%
(1.98)
12
67%
(1.25)
England
Hartlepool
Eastleigh
1
1
47%
(1.61)
X
30%
(3.7)
2
24%
(4.56)
1X
76%
(1.13)
X2
53%
(2.12)
12
70%
(1.21)
Poland
Puszcza Niepolomice
Slask Wroclaw
2
1
24%
(2.96)
X
27%
(3.34)
2
49%
(2.15)
1X
51%
(1.58)
X2
76%
(1.3)
12
73%
(1.26)
Peru
Comerciantes Unidos
Universitario de Deportes
2
1
30%
(4.42)
X
24%
(3.15)
2
47%
(1.83)
1X
53%
(1.87)
X2
70%
(1.17)
12
76%
(1.28)
Czech Republic
Taborsko
Hanacka Slavia Kromeriz
1
1
46%
(1.53)
X
31%
(4)
2
24%
(4.89)
1X
76%
(1.13)
X2
55%
(2.25)
12
69%
(1.17)
Slovakia
FK Puchov
Redfox FC Stara Lubovna
1
1
47%
(1.62)
X
29%
(3.76)
2
24%
(4.46)
1X
76%
(1.15)
X2
53%
(2.09)
12
71%
(1.18)
Bulgaria
Septemvri Sofia
Arda Kardzhali
2
1
25%
(4.35)
X
24%
(3.25)
2
51%
(1.81)
1X
49%
(1.88)
X2
75%
(1.17)
12
76%
(1.29)
England
Leyton Orient
Wycombe
2
1
25%
(3.15)
X
24%
(3.36)
2
51%
(2.18)
1X
49%
(1.62)
X2
75%
(1.31)
12
76%
(1.29)
Croatia
Vukovar 1991
Hajduk Split
2
1
24%
(4.83)
X
27%
(3.77)
2
49%
(1.64)
1X
51%
(2.13)
X2
76%
(1.14)
12
73%
(1.24)
Serbia
Mladost Lucani
Partizan Belgrade
2
1
24%
(5.38)
X
29%
(4.02)
2
47%
(1.48)
1X
53%
(2.36)
X2
76%
(1.11)
12
71%
(1.18)
England
Rochdale
Tamworth
1
1
44%
(1.31)
X
32%
(4.75)
2
24%
(7.33)
1X
76%
(1.06)
X2
56%
(3.05)
12
69%
(1.12)
Mexico
Atlante
Dorados de Sinaloa
1
1
46%
(1.13)
X
30%
(6.87)
2
25%
(14.4)
1X
76%
(1.02)
X2
54%
(4.79)
12
70%
(1.06)
Ukraine
Rukh Lviv
LNZ Cherkasy
2
1
25%
(7.88)
X
25%
(4.16)
2
50%
(1.39)
1X
50%
(2.77)
X2
75%
(1.06)
12
75%
(1.19)
Denmark
Middelfart
Hobro IK
2
1
25%
(3.13)
X
25%
(3.28)
2
50%
(2.12)
1X
50%
(1.61)
X2
75%
(1.31)
12
75%
(1.29)
England
Accrington
Chesterfield
2
1
27%
(3.82)
X
25%
(3.62)
2
48%
(1.86)
1X
52%
(1.83)
X2
73%
(1.21)
12
75%
(1.25)
Belarus
Torpedo-BelAZ Zhodino
ML Vitebsk
2
1
25%
(5.36)
X
27%
(3.79)
2
48%
(1.53)
1X
52%
(2.28)
X2
75%
(1.13)
12
73%
(1.22)
England
Walsall
Newport County
1
1
41%
(1.7)
X
35%
(3.6)
2
25%
(4.68)
1X
75%
(1.15)
X2
60%
(2.03)
12
65%
(1.24)
Northern Ireland
Dungannon Swifts
Bangor FC
1
1
44%
(1.54)
X
32%
(3.9)
2
25%
(5.08)
1X
75%
(1.12)
X2
57%
(2.27)
12
68%
(1.19)
Poland
Odra Opole
Wisla Krakow
2
1
25%
(4.54)
X
27%
(3.64)
2
48%
(1.66)
1X
52%
(2.06)
X2
75%
(1.13)
12
73%
(1.23)
Scotland
Queen of the South
East Fife
1
1
43%
(1.55)
X
32%
(3.88)
2
25%
(4.97)
1X
75%
(1.11)
X2
57%
(2.31)
12
68%
(1.21)
Mexico
Mazatlan
Cruz Azul
2
1
30%
(5.17)
X
26%
(4.32)
2
44%
(1.54)
1X
56%
(2.33)
X2
70%
(1.14)
12
74%
(1.19)
Scotland
Stenhousemuir
Kelty Hearts
1
1
42%
(1.5)
X
33%
(3.98)
2
26%
(5.35)
1X
74%
(1.1)
X2
58%
(2.37)
12
68%
(1.21)
Ireland
Longford Town
Wexford
2
1
26%
(2.92)
X
28%
(3.14)
2
46%
(2.19)
1X
54%
(1.56)
X2
74%
(1.32)
12
72%
(1.26)
Costa Rica
Guadalupe FC
Sporting San Jose
2
1
26%
(3.7)
X
29%
(3.34)
2
45%
(1.86)
1X
55%
(1.8)
X2
74%
(1.22)
12
71%
(1.24)
England
Mansfield
Northampton
1
1
40%
(1.71)
X
34%
(3.67)
2
27%
(4.6)
1X
73%
(1.15)
X2
60%
(2.04)
12
66%
(1.24)
Belgium
Francs Borains
Kortrijk
2
1
31%
(4.48)
X
27%
(3.55)
2
42%
(1.67)
1X
58%
(2.02)
X2
69%
(1.15)
12
73%
(1.24)
Armenia
Alashkert
Pyunik
2
1
27%
(3.07)
X
31%
(3.03)
2
42%
(2.16)
1X
58%
(1.55)
X2
73%
(1.29)
12
69%
(1.3)
Australia
Auckland FC
Macarthur FC
1
1
42%
(1.66)
X
31%
(4.06)
2
27%
(4.64)
1X
73%
(1.16)
X2
58%
(2.13)
12
69%
(1.21)
Scotland
Forfar Athletic
The Spartans
2
1
27%
(3.2)
X
28%
(3.21)
2
45%
(2.09)
1X
56%
(1.64)
X2
73%
(1.27)
12
72%
(1.31)
England
Boreham Wood
Gateshead
1
1
45%
(1.35)
X
28%
(4.95)
2
28%
(6.07)
1X
72%
(1.07)
X2
55%
(2.88)
12
72%
(1.13)
England
Brighton
Liverpool
2
1
28%
(3.11)
X
28%
(3.57)
2
44%
(2.27)
1X
56%
(1.63)
X2
72%
(1.36)
12
72%
(1.28)
Germany
Verl
Saarbrucken
1
1
43%
(1.83)
X
29%
(3.79)
2
28%
(3.61)
1X
72%
(1.22)
X2
58%
(1.83)
12
71%
(1.2)
England
Carlisle
Boston United
1
1
42%
(1.72)
X
30%
(3.6)
2
28%
(3.99)
1X
72%
(1.17)
X2
58%
(1.97)
12
70%
(1.22)
England
Charlton
Norwich
2
1
29%
(3.26)
X
32%
(3.38)
2
39%
(2.17)
1X
61%
(1.64)
X2
71%
(1.3)
12
68%
(1.3)
Poland
Polonia Bytom
GKS Tychy
1
1
42%
(1.86)
X
29%
(3.56)
2
29%
(3.52)
1X
71%
(1.22)
X2
58%
(1.79)
12
71%
(1.23)
Germany
Darmstadt
Schalke 04
1
1
36%
(2.59)
X
34%
(3.39)
2
29%
(2.61)
1X
71%
(1.44)
X2
64%
(1.46)
12
66%
(1.29)
Portugal
Penafiel
Vizela
2
1
30%
(2.95)
X
34%
(3.12)
2
36%
(2.21)
1X
64%
(1.55)
X2
70%
(1.31)
12
66%
(1.29)
Spain
Deportivo La Coruna
Real Zaragoza
1
1
40%
(1.7)
X
31%
(3.53)
2
30%
(4.73)
1X
70%
(1.15)
X2
60%
(2.05)
12
69%
(1.25)
England
Solihull Moors
Halifax
1
1
35%
(2.21)
X
30%
(3.48)
2
35%
(2.72)
1X
65%
(1.38)
X2
65%
(1.54)
12
70%
(1.24)
Norway
Start Kristiansand
Aalesunds
1
1
36%
(2.18)
X
33%
(3.48)
2
30%
(3.06)
1X
70%
(1.34)
X2
64%
(1.63)
12
67%
(1.28)
Netherlands
FC Zwolle
NAC Breda
1
1
39%
(2.2)
X
31%
(3.52)
2
30%
(3.13)
1X
70%
(1.34)
X2
62%
(1.65)
12
69%
(1.29)
Poland
Lechia Gdansk
Pogon Szczecin
1
1
36%
(2.45)
X
33%
(3.57)
2
31%
(2.57)
1X
69%
(1.44)
X2
64%
(1.49)
12
67%
(1.26)


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.