Updated on February 28, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Andorra
Atletic Club d'Escaldes
Esperanca d'Andorra
1
1
78%
(1.08)
X
15%
(7.48)
2
7%
(18.33)
1X
93%
(1.01)
X2
22%
(5.17)
12
85%
(1.03)
India
Mohun Bagan AC
Mohammedan Kolkata
1
1
61%
(1.05)
X
29%
(11.45)
2
11%
(29.17)
1X
89%
(1.01)
X2
39%
(8.73)
12
71%
(1.04)
Czech Republic
Slavia Prague B
Sparta Prague B
1
1
73%
(1.67)
X
17%
(3.61)
2
11%
(4.22)
1X
89%
(1.18)
X2
27%
(2.02)
12
83%
(1.22)
Spain
Barcelona
Villarreal
1
1
64%
(1.34)
X
24%
(5.99)
2
12%
(7.15)
1X
88%
(1.09)
X2
36%
(3.24)
12
76%
(1.12)
Scotland
Motherwell
Dundee United
1
1
60%
(1.48)
X
28%
(4.26)
2
12%
(6.12)
1X
88%
(1.11)
X2
40%
(2.54)
12
72%
(1.19)
Germany
Bayer Leverkusen
Mainz
1
1
65%
(1.71)
X
23%
(4.06)
2
13%
(4.63)
1X
87%
(1.19)
X2
35%
(2.12)
12
77%
(1.23)
Russia
Lokomotiv Moskva
Pari Nizhny Novgorod
1
1
61%
(1.42)
X
26%
(5.02)
2
14%
(7.53)
1X
86%
(1.1)
X2
39%
(2.95)
12
75%
(1.18)
Saudi Arabia
Al-Qadsiah Khobar
Al-Taawoun
1
1
56%
(1.37)
X
30%
(4.86)
2
14%
(6.91)
1X
86%
(1.08)
X2
44%
(2.86)
12
70%
(1.14)
Scotland
Hearts
Aberdeen
1
1
57%
(1.39)
X
29%
(4.59)
2
14%
(7.31)
1X
86%
(1.07)
X2
43%
(2.84)
12
71%
(1.18)
Italy
Como
Lecce
1
1
55%
(1.38)
X
31%
(4.64)
2
14%
(9.25)
1X
86%
(1.06)
X2
45%
(2.96)
12
69%
(1.19)
Singapore
Albirex Niigata SIN
Lion City Sailors
2
1
15%
(5.99)
X
18%
(4.64)
2
68%
(1.39)
1X
32%
(2.77)
X2
85%
(1.09)
12
82%
(1.14)
Switzerland
St. Gallen
Winterthur
1
1
62%
(1.29)
X
24%
(5.68)
2
15%
(8.27)
1X
85%
(1.06)
X2
39%
(3.4)
12
76%
(1.12)
Romania
Universitatea Craiova
Metaloglobus Bucuresti
1
1
58%
(1.1)
X
27%
(8.86)
2
15%
(20.5)
1X
85%
(1.01)
X2
42%
(6.42)
12
73%
(1.06)
Bosnia and Herzegovina
Borac Banja Luka
FK Sarajevo
1
1
57%
(1.58)
X
29%
(3.42)
2
15%
(5.44)
1X
85%
(1.11)
X2
43%
(2.16)
12
72%
(1.24)
San Marino
FC Fiorentino
SP Tre Fiori
2
1
15%
(9.35)
X
15%
(4.45)
2
70%
(1.29)
1X
30%
(3.11)
X2
85%
(1.04)
12
85%
(1.15)
Germany
Hoffenheim
Sankt Pauli
1
1
63%
(1.47)
X
22%
(4.63)
2
15%
(6.74)
1X
85%
(1.11)
X2
37%
(2.66)
12
78%
(1.19)
Serbia
FK Cukaricki
Mladost Lucani
1
1
57%
(1.62)
X
28%
(3.6)
2
15%
(4.88)
1X
85%
(1.13)
X2
43%
(2.1)
12
72%
(1.24)
Tunisia
Etoile du Sahel Sousse
AS Soliman
1
1
46%
(1.31)
X
39%
(4.29)
2
15%
(10.13)
1X
85%
(1.04)
X2
54%
(3)
12
61%
(1.16)
San Marino
SP Tre Penne
AC Juvenes Dogana
1
1
56%
(1.33)
X
29%
(4.32)
2
16%
(8.2)
1X
84%
(1.05)
X2
45%
(2.78)
12
71%
(1.17)
Portugal
Vitoria Guimaraes
Alverca
1
1
57%
(1.83)
X
27%
(3.5)
2
16%
(4.41)
1X
84%
(1.19)
X2
43%
(1.92)
12
73%
(1.29)
Bulgaria
Ludogorets Razgrad II
Sevlievo
1
1
56%
(1.72)
X
28%
(3.26)
2
16%
(4.49)
1X
84%
(1.14)
X2
44%
(1.91)
12
73%
(1.25)
Iceland
KR Reykjavik
Njardvik
1
1
58%
(1.46)
X
25%
(4.52)
2
16%
(4.89)
1X
84%
(1.13)
X2
42%
(2.38)
12
75%
(1.15)
Venezuela
Universidad Central
Zamora Barinas
1
1
52%
(1.71)
X
32%
(3.24)
2
16%
(4.6)
1X
84%
(1.15)
X2
48%
(1.96)
12
68%
(1.26)
England
Bournemouth
Sunderland
1
1
53%
(1.78)
X
31%
(3.88)
2
17%
(4.51)
1X
83%
(1.19)
X2
47%
(2.02)
12
69%
(1.25)
Azerbaijan
Shamakhi FK
Neftchi Baku
2
1
17%
(3.89)
X
21%
(3.04)
2
62%
(1.88)
1X
38%
(1.76)
X2
83%
(1.18)
12
79%
(1.29)
Algeria
ES Setif
ES Mostaganem
1
1
45%
(1.65)
X
38%
(3.12)
2
17%
(5.35)
1X
83%
(1.1)
X2
55%
(2.01)
12
62%
(1.28)
Spain
Castellon
Racing Santander
1
1
55%
(1.59)
X
28%
(4.08)
2
17%
(4.72)
1X
83%
(1.17)
X2
45%
(2.18)
12
72%
(1.21)
Italy
Ascoli
Carpi
1
1
50%
(1.4)
X
33%
(4.03)
2
17%
(6.58)
1X
83%
(1.07)
X2
50%
(2.54)
12
67%
(1.18)
Italy
Inter
Genoa
1
1
47%
(1.33)
X
36%
(5.22)
2
17%
(9.49)
1X
83%
(1.06)
X2
53%
(3.34)
12
64%
(1.15)
San Marino
SP La Fiorita
SC Faetano
1
1
56%
(1.17)
X
27%
(6.1)
2
17%
(11.87)
1X
83%
(1.03)
X2
44%
(4.2)
12
73%
(1.08)
Saudi Arabia
Neom SC
Al-Kholood Club
1
1
53%
(1.74)
X
30%
(3.65)
2
17%
(4.4)
1X
83%
(1.18)
X2
47%
(1.98)
12
70%
(1.24)
South Africa
Kaizer Chiefs
Orlando Pirates
2
1
19%
(3.42)
X
17%
(2.7)
2
64%
(2.31)
1X
36%
(1.54)
X2
81%
(1.24)
12
83%
(1.39)
Mexico
Mineros de Zacatecas
Venados
1
1
54%
(1.66)
X
29%
(3.88)
2
18%
(4.1)
1X
83%
(1.18)
X2
47%
(2.05)
12
71%
(1.2)
Colombia
Once Caldas
Boyaca Chico
1
1
52%
(1.38)
X
31%
(4.39)
2
18%
(8.04)
1X
83%
(1.06)
X2
48%
(2.82)
12
69%
(1.18)
Cyprus
Anorthosis Famagusta
Enosis Neon Paralimni
1
1
55%
(1.09)
X
28%
(7.46)
2
18%
(16.9)
1X
83%
(1.02)
X2
45%
(5.25)
12
72%
(1.06)
Argentina
Agropecuario Argentino
Nueva Chicago
1
1
48%
(1.75)
X
34%
(2.98)
2
18%
(5.33)
1X
82%
(1.12)
X2
52%
(1.94)
12
66%
(1.33)
Egypt
Al Ahly Cairo
ZED FC
1
1
45%
(1.51)
X
37%
(3.61)
2
18%
(6.51)
1X
82%
(1.08)
X2
55%
(2.36)
12
63%
(1.23)
Italy
Sudtirol
Venezia
2
1
18%
(3.89)
X
24%
(3.13)
2
58%
(2)
1X
42%
(1.77)
X2
82%
(1.22)
12
76%
(1.33)
Japan
Ehime FC
Tokushima Vortis
2
1
18%
(4.17)
X
22%
(3.73)
2
60%
(1.69)
1X
40%
(1.95)
X2
82%
(1.18)
12
78%
(1.22)
Czech Republic
SFC Opava
SK Prostejov
1
1
55%
(1.53)
X
27%
(3.68)
2
18%
(5.34)
1X
82%
(1.11)
X2
45%
(2.27)
12
73%
(1.22)
Argentina
Gimnasia y Tiro
Club Almagro
1
1
44%
(1.86)
X
38%
(2.77)
2
18%
(5.27)
1X
82%
(1.13)
X2
56%
(1.86)
12
62%
(1.36)
Germany
Borussia Dortmund
Bayern Munchen
2
1
18%
(4.51)
X
20%
(4.61)
2
62%
(1.65)
1X
38%
(2.22)
X2
82%
(1.2)
12
80%
(1.19)
Turkey
Galatasaray
Alanyaspor
1
1
52%
(1.31)
X
30%
(5.49)
2
18%
(8.21)
1X
82%
(1.07)
X2
48%
(3.33)
12
70%
(1.14)
Scotland
Partick Thistle
Arbroath
1
1
50%
(1.65)
X
32%
(3.65)
2
18%
(4.56)
1X
82%
(1.15)
X2
50%
(2.06)
12
68%
(1.22)
Bulgaria
Chernomorets Burgas
Lokomotiv Gorna Oryahovitsa
1
1
48%
(1.69)
X
34%
(3.45)
2
18%
(4.5)
1X
82%
(1.15)
X2
53%
(1.96)
12
66%
(1.23)
Russia
FK Krasnodar
FK Rostov
1
1
51%
(1.63)
X
30%
(4.07)
2
18%
(5.73)
1X
82%
(1.16)
X2
49%
(2.34)
12
70%
(1.23)
Spain
Alcorcon
Betis Deportivo Balompie
1
1
44%
(1.55)
X
37%
(3.45)
2
18%
(6.07)
1X
82%
(1.09)
X2
56%
(2.23)
12
63%
(1.25)
Uzbekistan
Neftchi Fergana
Mash'al Mubarek
1
1
51%
(1.31)
X
31%
(4.51)
2
19%
(8.7)
1X
82%
(1.04)
X2
49%
(3.13)
12
69%
(1.16)
Uzbekistan
Dinamo Samarqand
Navbahor Namangan
1
1
47%
(1.64)
X
35%
(3.54)
2
19%
(4.68)
1X
81%
(1.16)
X2
53%
(2.06)
12
66%
(1.24)
England
Rotherham
Plymouth
2
1
19%
(3.31)
X
21%
(3.53)
2
61%
(2.04)
1X
39%
(1.71)
X2
81%
(1.29)
12
79%
(1.27)
Hungary
Gyori ETO
Ujpest
1
1
55%
(1.49)
X
26%
(4.3)
2
19%
(5.24)
1X
81%
(1.13)
X2
45%
(2.39)
12
74%
(1.17)
Italy
Trento 1921
Lumezzane
1
1
48%
(1.67)
X
33%
(3.5)
2
19%
(4.49)
1X
81%
(1.14)
X2
52%
(1.97)
12
67%
(1.22)
Germany
Erzgebirge Aue
Osnabruck
2
1
19%
(3.32)
X
26%
(3.39)
2
55%
(2.02)
1X
45%
(1.68)
X2
81%
(1.26)
12
74%
(1.26)
Turkey
Hatayspor
Bodrum FK
2
1
20%
(13.37)
X
19%
(7.25)
2
61%
(1.13)
1X
39%
(4.78)
X2
80%
(1.03)
12
81%
(1.06)
Croatia
NK Osijek
Vukovar 1991
1
1
45%
(1.77)
X
36%
(3.47)
2
19%
(4.18)
1X
81%
(1.18)
X2
55%
(1.93)
12
64%
(1.27)
Malta
Hibernians
Valletta
2
1
20%
(4.45)
X
19%
(3.53)
2
61%
(1.66)
1X
39%
(2.02)
X2
80%
(1.16)
12
81%
(1.2)
Albania
Vora FK
Dinamo City
2
1
19%
(4.85)
X
26%
(3.11)
2
55%
(1.72)
1X
45%
(1.94)
X2
81%
(1.12)
12
74%
(1.28)
Luxembourg
Mamer 32
US Mondorf-les-Bains
2
1
19%
(6.4)
X
22%
(4.2)
2
59%
(1.4)
1X
41%
(2.61)
X2
81%
(1.07)
12
79%
(1.17)
England
Burnley
Brentford
2
1
19%
(4.48)
X
21%
(3.86)
2
60%
(1.78)
1X
40%
(2.01)
X2
81%
(1.2)
12
79%
(1.26)
Israel
Maccabi Bnei Reineh
Hapoel Jerusalem
2
1
19%
(3.19)
X
20%
(3.19)
2
61%
(2.11)
1X
39%
(1.61)
X2
81%
(1.3)
12
80%
(1.3)
Bulgaria
Botev Vratsa
Beroe Stara Zagora
1
1
42%
(1.68)
X
38%
(3.37)
2
20%
(5.15)
1X
80%
(1.14)
X2
58%
(2.04)
12
62%
(1.27)
Japan
Ventforet Kofu
Matsumoto Yamaga
1
1
51%
(1.7)
X
29%
(3.65)
2
20%
(4.31)
1X
80%
(1.15)
X2
49%
(1.98)
12
71%
(1.23)
Bulgaria
Pirin Blagoevgrad
Spartak Pleven
1
1
48%
(1.31)
X
32%
(4.33)
2
20%
(8.32)
1X
80%
(1.05)
X2
52%
(2.86)
12
68%
(1.14)
Bulgaria
Septemvri Sofia
CSKA Sofia
2
1
20%
(9.28)
X
21%
(4.77)
2
59%
(1.3)
1X
41%
(3.18)
X2
80%
(1.05)
12
79%
(1.15)
San Marino
SS San Giovanni
SS Virtus
2
1
20%
(13)
X
22%
(6.1)
2
59%
(1.16)
1X
42%
(4.32)
X2
80%
(1.02)
12
78%
(1.08)
Slovakia
Zeleziarne Podbrezova
Tatran Presov
1
1
44%
(1.66)
X
36%
(3.74)
2
20%
(4.4)
1X
80%
(1.15)
X2
56%
(2.08)
12
64%
(1.22)
Netherlands
Heracles Almelo
PSV Eindhoven
2
1
21%
(8.18)
X
20%
(6.01)
2
59%
(1.3)
1X
41%
(3.36)
X2
79%
(1.07)
12
80%
(1.13)
Luxembourg
Jeunesse Canach
Differdange FC
2
1
20%
(8.15)
X
23%
(5.03)
2
58%
(1.26)
1X
42%
(3.26)
X2
80%
(1.03)
12
77%
(1.12)
Portugal
Torreense
Porto B
1
1
47%
(1.78)
X
33%
(3.34)
2
20%
(4.12)
1X
80%
(1.19)
X2
53%
(1.92)
12
67%
(1.27)
Serbia
Zeleznicar Pancevo
Vojvodina Novi Sad
2
1
20%
(3.07)
X
21%
(3.23)
2
59%
(2.15)
1X
41%
(1.61)
X2
80%
(1.33)
12
79%
(1.29)
Italy
Dolomiti Bellunesi
Renate
2
1
20%
(3.24)
X
22%
(3.14)
2
58%
(2.04)
1X
42%
(1.63)
X2
80%
(1.26)
12
78%
(1.26)
Malta
Tarxien Rainbows
Sliema Wanderers
2
1
22%
(5.77)
X
20%
(3.75)
2
58%
(1.49)
1X
42%
(2.34)
X2
78%
(1.08)
12
80%
(1.22)
England
Coventry
Stoke
1
1
44%
(1.51)
X
36%
(4.32)
2
20%
(5.83)
1X
80%
(1.12)
X2
56%
(2.46)
12
64%
(1.19)
Scotland
East Fife
Alloa Athletic
2
1
20%
(3.61)
X
20%
(3.6)
2
60%
(1.82)
1X
40%
(1.86)
X2
80%
(1.21)
12
80%
(1.24)
USA
New York Red Bulls
New England Revolution
1
1
50%
(1.71)
X
30%
(3.97)
2
20%
(4.49)
1X
80%
(1.18)
X2
50%
(2.07)
12
70%
(1.23)
Cyprus
AEL Limassol
APOEL Nicosia
2
1
20%
(3.66)
X
21%
(3.25)
2
59%
(1.91)
1X
41%
(1.78)
X2
80%
(1.23)
12
79%
(1.28)
Iceland
Fram Reykjavik
Vestri
1
1
58%
(1.38)
X
22%
(4.85)
2
20%
(5.43)
1X
80%
(1.1)
X2
42%
(2.7)
12
78%
(1.13)
Switzerland
Lausanne-Ouchy
Etoile Carouge
1
1
48%
(1.49)
X
31%
(4.15)
2
20%
(5.04)
1X
80%
(1.11)
X2
52%
(2.33)
12
69%
(1.17)
Slovakia
Tatran Liptovsky Mikulas
Dukla Banska Bystrica
2
1
20%
(2.88)
X
20%
(3.45)
2
59%
(2.14)
1X
41%
(1.61)
X2
80%
(1.33)
12
80%
(1.24)
Belgium
Anderlecht
Oud-Heverlee Leuven
1
1
49%
(1.73)
X
30%
(3.65)
2
20%
(4.58)
1X
80%
(1.17)
X2
51%
(2)
12
70%
(1.25)
Portugal
Uniao Leiria
Portimonense
1
1
42%
(1.76)
X
37%
(3.46)
2
20%
(4.06)
1X
80%
(1.18)
X2
58%
(1.9)
12
63%
(1.25)
Italy
Union Brescia
Lecco
1
1
44%
(1.75)
X
35%
(3.21)
2
20%
(4.48)
1X
80%
(1.13)
X2
56%
(1.9)
12
65%
(1.27)
Czech Republic
Zbrojovka Brno
Pribram
1
1
48%
(1.3)
X
32%
(5.03)
2
20%
(7.3)
1X
80%
(1.06)
X2
52%
(3.15)
12
68%
(1.13)
Italy
Albinoleffe
LR Vicenza
2
1
21%
(4.64)
X
22%
(3.3)
2
58%
(1.69)
1X
42%
(1.98)
X2
80%
(1.12)
12
79%
(1.25)
Scotland
Kelty Hearts
Inverness
2
1
21%
(6.58)
X
26%
(4.17)
2
54%
(1.4)
1X
47%
(2.69)
X2
80%
(1.07)
12
74%
(1.18)
Venezuela
Carabobo FC
Caracas FC
1
1
42%
(1.64)
X
37%
(3.25)
2
21%
(5.14)
1X
79%
(1.12)
X2
58%
(2.03)
12
63%
(1.26)
England
Ipswich
Swansea
1
1
44%
(1.59)
X
35%
(4)
2
21%
(5.36)
1X
79%
(1.14)
X2
56%
(2.28)
12
65%
(1.23)
Scotland
Queen of the South
Peterhead
1
1
49%
(1.58)
X
31%
(3.9)
2
21%
(4.6)
1X
79%
(1.15)
X2
51%
(2.21)
12
69%
(1.19)
Slovakia
STK 1914 Samorin
Redfox FC Stara Lubovna
1
1
51%
(1.64)
X
28%
(3.69)
2
21%
(4.43)
1X
79%
(1.14)
X2
49%
(2.08)
12
72%
(1.22)
France
Orleans
Rouen
2
1
21%
(2.98)
X
23%
(3.02)
2
56%
(2.23)
1X
44%
(1.54)
X2
79%
(1.29)
12
77%
(1.31)
England
Scunthorpe
Solihull Moors
1
1
49%
(1.71)
X
31%
(3.76)
2
21%
(3.96)
1X
79%
(1.19)
X2
51%
(1.98)
12
70%
(1.22)
England
Fleetwood
Newport County
1
1
45%
(1.72)
X
35%
(3.68)
2
21%
(4.48)
1X
79%
(1.17)
X2
56%
(2.04)
12
66%
(1.23)
Northern Ireland
Dungannon Swifts
Coleraine
2
1
21%
(4.87)
X
23%
(3.89)
2
56%
(1.56)
1X
44%
(2.22)
X2
79%
(1.13)
12
77%
(1.2)
Serbia
Partizan Belgrade
OFK Belgrade
1
1
43%
(1.47)
X
36%
(4.18)
2
21%
(5.39)
1X
79%
(1.11)
X2
57%
(2.41)
12
64%
(1.18)
Portugal
Nacional
SC Braga
2
1
22%
(5.49)
X
21%
(4.12)
2
57%
(1.57)
1X
43%
(2.34)
X2
78%
(1.14)
12
79%
(1.22)
Israel
Hapoel Haifa
Maccabi Tel Aviv
2
1
26%
(4.93)
X
21%
(4.09)
2
53%
(1.53)
1X
47%
(2.32)
X2
74%
(1.13)
12
79%
(1.2)
Bulgaria
Dobrudzha Dobrich
Cherno more Varna
2
1
21%
(4.21)
X
25%
(3.33)
2
54%
(1.84)
1X
46%
(1.87)
X2
79%
(1.19)
12
75%
(1.28)
Peru
Universidad de Cajamarca
Alianza Lima
2
1
23%
(3.48)
X
21%
(3.29)
2
56%
(2.05)
1X
44%
(1.7)
X2
77%
(1.28)
12
79%
(1.3)
Slovakia
MSK Povazska Bystrica
Inter Bratislava
1
1
52%
(1.76)
X
27%
(3.51)
2
21%
(3.99)
1X
79%
(1.18)
X2
48%
(1.92)
12
73%
(1.24)
Czech Republic
Sparta Prague
Banik Ostrava
1
1
46%
(1.33)
X
33%
(4.91)
2
21%
(8.14)
1X
79%
(1.06)
X2
54%
(3.09)
12
67%
(1.15)
Northern Ireland
Ballymena United
Larne
2
1
21%
(4.76)
X
23%
(3.63)
2
56%
(1.62)
1X
44%
(2.1)
X2
79%
(1.14)
12
77%
(1.22)
Thailand
Ratchaburi FC
Uthai Thani
1
1
50%
(1.68)
X
28%
(3.6)
2
21%
(4.16)
1X
79%
(1.17)
X2
50%
(1.97)
12
72%
(1.21)
England
Newcastle
Everton
1
1
43%
(1.71)
X
36%
(4.04)
2
21%
(4.7)
1X
79%
(1.17)
X2
57%
(2.1)
12
64%
(1.24)
Luxembourg
Rodange 91
Jeunesse Esch
2
1
21%
(3.68)
X
25%
(3.41)
2
54%
(1.83)
1X
46%
(1.8)
X2
79%
(1.21)
12
75%
(1.23)
France
Le Havre
Paris Saint Germain
2
1
22%
(9.38)
X
31%
(5.98)
2
48%
(1.3)
1X
52%
(3.53)
X2
79%
(1.05)
12
70%
(1.13)
Scotland
Saint Johnstone
Ayr United
1
1
44%
(1.54)
X
34%
(3.78)
2
22%
(5.39)
1X
79%
(1.12)
X2
56%
(2.28)
12
66%
(1.21)
England
Bromley
Accrington
1
1
46%
(1.7)
X
33%
(3.54)
2
22%
(4.8)
1X
78%
(1.15)
X2
54%
(2.05)
12
67%
(1.25)
Malta
Mosta FC
Marsaxlokk
2
1
22%
(5.23)
X
25%
(4.07)
2
54%
(1.48)
1X
46%
(2.37)
X2
78%
(1.11)
12
75%
(1.18)
Spain
Sevilla Atletico
Atletico Madrid B
2
1
22%
(3.67)
X
27%
(2.94)
2
51%
(2.03)
1X
49%
(1.68)
X2
78%
(1.2)
12
73%
(1.33)
England
Queens Park Rangers
Sheffield United
2
1
23%
(3.02)
X
22%
(3.51)
2
55%
(2.24)
1X
45%
(1.61)
X2
77%
(1.35)
12
78%
(1.28)
Germany
Werder Bremen
Heidenheim
1
1
44%
(1.74)
X
34%
(4.02)
2
22%
(4.52)
1X
78%
(1.2)
X2
56%
(2.06)
12
66%
(1.24)
England
Gateshead
Forest Green
2
1
23%
(5.04)
X
22%
(4.33)
2
55%
(1.47)
1X
45%
(2.39)
X2
77%
(1.12)
12
78%
(1.17)
Saudi Arabia
Al-Fayha
Al-Nassr Riyadh
2
1
22%
(9.88)
X
27%
(5.79)
2
51%
(1.24)
1X
49%
(3.63)
X2
78%
(1.04)
12
73%
(1.11)
Greece
Kifisia
Levadiakos
2
1
22%
(3.16)
X
23%
(3.31)
2
55%
(2.21)
1X
45%
(1.63)
X2
78%
(1.32)
12
78%
(1.31)
USA
Chicago Fire
CF Montreal
1
1
48%
(1.63)
X
30%
(4.21)
2
22%
(4.77)
1X
78%
(1.18)
X2
52%
(2.2)
12
70%
(1.22)
England
Liverpool
West Ham
1
1
43%
(1.4)
X
34%
(5.14)
2
22%
(7.09)
1X
78%
(1.09)
X2
57%
(2.9)
12
66%
(1.16)
Belgium
Francs Borains
K Beerschot VA
2
1
22%
(3.72)
X
23%
(3.45)
2
55%
(1.84)
1X
45%
(1.83)
X2
78%
(1.22)
12
77%
(1.25)
England
Oxford United
West Bromwich
2
1
22%
(3.17)
X
26%
(3.18)
2
52%
(2.3)
1X
48%
(1.58)
X2
78%
(1.33)
12
74%
(1.32)
Italy
Verona
Napoli
2
1
22%
(6.23)
X
23%
(3.76)
2
55%
(1.62)
1X
45%
(2.29)
X2
78%
(1.12)
12
77%
(1.27)
Belgium
SK Beveren
Olympic Charleroi
1
1
40%
(1.23)
X
37%
(5.37)
2
22%
(9.51)
1X
78%
(1.04)
X2
60%
(3.59)
12
63%
(1.11)
Belgium
Royal Antwerp
Saint Truiden
2
1
22%
(3.07)
X
28%
(3.38)
2
50%
(2.23)
1X
50%
(1.62)
X2
78%
(1.34)
12
72%
(1.29)
South Korea
Incheon United
FC Seoul
2
1
23%
(3.56)
X
27%
(3.11)
2
50%
(2.08)
1X
50%
(1.69)
X2
78%
(1.26)
12
73%
(1.32)
Scotland
Livingston
Saint Mirren
2
1
30%
(3.19)
X
23%
(3.43)
2
48%
(2.17)
1X
53%
(1.65)
X2
70%
(1.33)
12
78%
(1.28)
England
Tamworth
Boreham Wood
2
1
23%
(3.91)
X
27%
(3.6)
2
50%
(1.74)
1X
50%
(1.93)
X2
77%
(1.19)
12
73%
(1.23)
Croatia
NK Varazdin
Hajduk Split
2
1
23%
(3.57)
X
24%
(3.16)
2
53%
(2.01)
1X
47%
(1.7)
X2
77%
(1.24)
12
76%
(1.29)
Bulgaria
Sportist Svoge
Fratria Varna
2
1
23%
(3.81)
X
30%
(3.21)
2
47%
(1.87)
1X
53%
(1.74)
X2
77%
(1.18)
12
70%
(1.25)
France
Guingamp
Rodez AF
1
1
46%
(1.75)
X
31%
(3.69)
2
23%
(4.18)
1X
77%
(1.2)
X2
54%
(1.99)
12
69%
(1.24)
Colombia
Jaguares de Cordoba
Junior Barranquilla
2
1
23%
(3.71)
X
25%
(3.44)
2
52%
(1.93)
1X
48%
(1.8)
X2
77%
(1.25)
12
75%
(1.28)
Italy
Modena
Padova
1
1
45%
(1.5)
X
32%
(3.99)
2
23%
(6.05)
1X
77%
(1.11)
X2
55%
(2.45)
12
68%
(1.22)
France
Monaco
Angers
1
1
42%
(1.48)
X
35%
(4.54)
2
23%
(6.76)
1X
77%
(1.1)
X2
58%
(2.64)
12
65%
(1.19)
Thailand
Lamphun Warriors
Bangkok United
2
1
29%
(3.32)
X
23%
(3.39)
2
48%
(1.93)
1X
52%
(1.72)
X2
71%
(1.25)
12
77%
(1.24)
Germany
Arminia Bielefeld
Hannover
2
1
26%
(2.93)
X
23%
(3.53)
2
51%
(2.26)
1X
49%
(1.61)
X2
74%
(1.37)
12
77%
(1.27)
England
Doncaster
Cardiff
2
1
23%
(3.26)
X
27%
(3.7)
2
50%
(2.01)
1X
50%
(1.74)
X2
77%
(1.3)
12
73%
(1.25)
England
Aldershot
Rochdale
2
1
23%
(3.87)
X
29%
(3.59)
2
48%
(1.76)
1X
52%
(1.92)
X2
77%
(1.19)
12
71%
(1.24)
England
Lincoln
Blackpool
1
1
43%
(1.44)
X
33%
(4.35)
2
23%
(6.56)
1X
77%
(1.09)
X2
57%
(2.63)
12
67%
(1.18)
Israel
Beitar Jerusalem
Ironi Tiberias
1
1
41%
(1.3)
X
35%
(5.1)
2
23%
(7.84)
1X
77%
(1.07)
X2
59%
(3.22)
12
65%
(1.14)
Germany
Kaiserslautern
Paderborn
2
1
24%
(2.95)
X
25%
(3.61)
2
51%
(2.21)
1X
49%
(1.63)
X2
76%
(1.37)
12
75%
(1.26)
Slovenia
NK Primorje Ajdovscina
Olimpija Ljubljana
2
1
24%
(3.54)
X
24%
(3.46)
2
52%
(1.9)
1X
48%
(1.8)
X2
76%
(1.22)
12
76%
(1.26)
Austria
Austria Salzburg
Floridsdorfer AC
2
1
24%
(3.45)
X
32%
(3.23)
2
44%
(2.03)
1X
56%
(1.71)
X2
76%
(1.26)
12
68%
(1.28)
Israel
M.S. Ashdod
Maccabi Netanya
2
1
24%
(2.84)
X
25%
(3.39)
2
51%
(2.2)
1X
49%
(1.58)
X2
76%
(1.35)
12
75%
(1.27)
Qatar
Al-Arabi SC Doha
Al-Sailiya SC Doha
1
1
45%
(1.54)
X
31%
(4.09)
2
24%
(4.82)
1X
76%
(1.13)
X2
55%
(2.24)
12
69%
(1.17)
Turkey
Keciorengucu
Amed SFK
2
1
24%
(2.79)
X
27%
(3.42)
2
50%
(2.15)
1X
51%
(1.58)
X2
76%
(1.35)
12
73%
(1.25)
England
Eastleigh
Carlisle
2
1
25%
(3.98)
X
24%
(3.6)
2
51%
(1.73)
1X
49%
(1.94)
X2
75%
(1.2)
12
76%
(1.22)
Scotland
Dundee FC
Hibernian
2
1
24%
(3.2)
X
27%
(3.5)
2
49%
(2.13)
1X
52%
(1.67)
X2
76%
(1.32)
12
73%
(1.28)
Tunisia
CA Bizertin Bizerte
US Monastir
2
1
24%
(3.38)
X
32%
(2.69)
2
44%
(2.3)
1X
56%
(1.53)
X2
76%
(1.24)
12
68%
(1.37)
Germany
Holstein Kiel
Elversberg
2
1
30%
(3.24)
X
24%
(3.61)
2
46%
(2.06)
1X
54%
(1.7)
X2
70%
(1.31)
12
76%
(1.26)
England
Morecambe
York City
2
1
25%
(6.82)
X
25%
(5.04)
2
51%
(1.31)
1X
49%
(3.07)
X2
76%
(1.07)
12
75%
(1.11)
Northern Ireland
Glentoran
Crusaders
1
1
50%
(1.22)
X
25%
(5.5)
2
26%
(9.93)
1X
75%
(1.04)
X2
50%
(3.7)
12
75%
(1.09)
Denmark
Esbjerg
Horsens
2
1
25%
(3.35)
X
26%
(3.36)
2
50%
(2.02)
1X
50%
(1.72)
X2
75%
(1.27)
12
74%
(1.28)
France
Pau
Saint Etienne
2
1
25%
(2.89)
X
27%
(3.53)
2
48%
(2.22)
1X
52%
(1.61)
X2
75%
(1.36)
12
73%
(1.26)
England
Leeds
Manchester City
2
1
25%
(5.22)
X
27%
(4.14)
2
48%
(1.63)
1X
53%
(2.25)
X2
75%
(1.16)
12
73%
(1.23)
Germany
Greuther Furth
Schalke 04
2
1
30%
(4.56)
X
25%
(3.77)
2
45%
(1.71)
1X
55%
(2.06)
X2
70%
(1.17)
12
75%
(1.24)
Northern Ireland
Carrick Rangers
Bangor FC
1
1
47%
(1.68)
X
28%
(3.67)
2
25%
(4.29)
1X
75%
(1.16)
X2
53%
(2.01)
12
73%
(1.22)
Slovenia
NK Maribor
NK Radomlje
1
1
46%
(1.38)
X
28%
(4.65)
2
25%
(6.02)
1X
75%
(1.07)
X2
54%
(2.7)
12
72%
(1.14)
England
Port Vale
Luton
2
1
29%
(3.43)
X
26%
(3.35)
2
46%
(2.07)
1X
54%
(1.71)
X2
71%
(1.28)
12
74%
(1.28)
England
Wycombe
Burton Albion
1
1
41%
(1.72)
X
33%
(3.63)
2
26%
(4.54)
1X
74%
(1.17)
X2
59%
(2.01)
12
67%
(1.26)
Australia
Central Coast Mariners
Newcastle United Jets
2
1
26%
(4.33)
X
28%
(4.39)
2
47%
(1.65)
1X
53%
(2.13)
X2
74%
(1.19)
12
73%
(1.19)
Mexico
Mazatlan
Pachuca
2
1
28%
(3.59)
X
26%
(3.48)
2
46%
(1.97)
1X
54%
(1.77)
X2
72%
(1.26)
12
74%
(1.26)
Netherlands
NEC Nijmegen
Fortuna Sittard
1
1
44%
(1.42)
X
30%
(4.86)
2
26%
(6.71)
1X
74%
(1.09)
X2
56%
(2.81)
12
70%
(1.17)
Thailand
Rayong FC
Buriram United
2
1
27%
(5)
X
28%
(4)
2
46%
(1.48)
1X
54%
(2.18)
X2
74%
(1.1)
12
72%
(1.15)
Scotland
Hamilton Academical
Montrose
1
1
37%
(2.06)
X
36%
(3.46)
2
27%
(2.99)
1X
73%
(1.32)
X2
63%
(1.62)
12
64%
(1.24)
England
Sheffield Wednesday
Southampton
2
1
28%
(9.85)
X
27%
(5.63)
2
45%
(1.27)
1X
55%
(3.59)
X2
72%
(1.04)
12
73%
(1.13)
Spain
Real Oviedo
Atletico Madrid
2
1
28%
(4.88)
X
27%
(3.49)
2
45%
(1.79)
1X
55%
(1.99)
X2
72%
(1.18)
12
73%
(1.28)
England
Preston
Millwall
2
1
34%
(3.03)
X
28%
(3.34)
2
38%
(2.28)
1X
62%
(1.57)
X2
66%
(1.35)
12
72%
(1.31)
South Korea
Gimcheon Sangmu
Pohang Steelers
1
1
39%
(2.65)
X
32%
(3.16)
2
29%
(2.56)
1X
71%
(1.47)
X2
61%
(1.43)
12
68%
(1.32)
England
Exeter
Bolton
2
1
30%
(3.49)
X
29%
(3.43)
2
41%
(2.02)
1X
59%
(1.73)
X2
70%
(1.27)
12
71%
(1.28)
Czech Republic
Slovan Liberec
Hradec Kralove
1
1
37%
(1.87)
X
34%
(3.34)
2
30%
(4.04)
1X
70%
(1.21)
X2
64%
(1.83)
12
67%
(1.28)
USA
Colorado Rapids
Portland Timbers
1
1
39%
(2.19)
X
31%
(3.67)
2
31%
(3.01)
1X
70%
(1.37)
X2
61%
(1.63)
12
69%
(1.26)
Scotland
The Spartans
Annan Athletic
1
1
38%
(1.73)
X
31%
(3.61)
2
31%
(4.07)
1X
69%
(1.18)
X2
62%
(1.98)
12
69%
(1.23)
Mexico
Club Tijuana
Pumas UNAM
1
1
34%
(2.29)
X
34%
(3.33)
2
32%
(2.99)
1X
69%
(1.36)
X2
66%
(1.56)
12
66%
(1.3)


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.