Updated on March 8, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
San Marino
SP Tre Fiori
SP Cailungo
1
1
64%
(1.07)
X
26%
(7.43)
2
10%
(33.5)
1X
90%
X2
36%
12
74%
Kazakhstan
Astana
Zhetysu Taldykorgan
1
1
63%
(1.42)
X
24%
(4.34)
2
14%
(5.85)
1X
86%
(1.1)
X2
37%
(2.57)
12
77%
(1.17)
Albania
Bylis Ballsh
Vora FK
1
1
49%
(1.45)
X
37%
(4.08)
2
14%
(5.57)
1X
86%
(1.09)
X2
51%
(2.38)
12
63%
(1.17)
Cyprus
Apollon Limassol
AEL Limassol
1
1
58%
(1.55)
X
27%
(3.68)
2
15%
(5.2)
1X
85%
(1.11)
X2
42%
(2.22)
12
73%
(1.22)
Serbia
Crvena zvezda Belgrade
Napredak Krusevac
1
1
55%
(1.04)
X
30%
(12.6)
2
15%
(33.8)
1X
85%
(1.01)
X2
45%
(9.25)
12
70%
(1.03)
Luxembourg
Differdange FC
US Hostert
1
1
62%
(1.2)
X
23%
(5.4)
2
15%
(11.9)
1X
85%
(1.03)
X2
38%
(3.98)
12
77%
(1.1)
Singapore
Young Lions
Tampines Rovers
2
1
16%
(11.9)
X
19%
(7.3)
2
66%
(1.13)
1X
35%
(4.48)
X2
84%
(1.03)
12
81%
(1.05)
Thailand
BG Pathum United
Chonburi
1
1
58%
(1.57)
X
26%
(3.71)
2
16%
(4.83)
1X
84%
(1.12)
X2
42%
(2.15)
12
74%
(1.2)
Austria
Admira Wacker Modling
Austria Klagenfurt
1
1
51%
(1.28)
X
33%
(4.98)
2
16%
(9.94)
1X
84%
(1.03)
X2
49%
(3.42)
12
67%
(1.13)
Croatia
Hajduk Split
Dinamo Zagreb
2
1
16%
(3.14)
X
20%
(3.27)
2
64%
(2.15)
1X
36%
(1.61)
X2
84%
(1.29)
12
80%
(1.28)
Moldova
FC Balti
Sheriff Tiraspol
2
1
16%
(6.18)
X
18%
(3.95)
2
66%
(1.46)
1X
34%
(2.55)
X2
84%
(1.1)
12
82%
(1.21)
Malaysia
Selangor FC
Immigration FC
1
1
58%
(1.26)
X
26%
(5)
2
16%
(8.98)
1X
84%
(1.01)
X2
42%
(3.17)
12
74%
(1.11)
Azerbaijan
Qarabag Agdam
Araz-Naxcivan
1
1
54%
(1.16)
X
30%
(5.94)
2
17%
(12.1)
1X
83%
(1.03)
X2
47%
(4.1)
12
70%
(1.08)
Luxembourg
Victoria Rosport
Atert Bissen
2
1
17%
(4.26)
X
23%
(3.51)
2
60%
(1.7)
1X
40%
(1.91)
X2
83%
(1.15)
12
77%
(1.2)
Faroe Islands
07 Vestur
KI Klaksvik
2
1
17%
(14.23)
X
21%
(7.27)
2
63%
(1.11)
1X
38%
(4.95)
X2
83%
(1.02)
12
80%
(1.04)
Nicaragua
Walter Ferretti
Diriangen
2
1
17%
(4.74)
X
20%
(3.4)
2
63%
(1.72)
1X
37%
(2.02)
X2
83%
(1.17)
12
80%
(1.29)
Mexico
Irapuato
Alebrijes de Oaxaca
1
1
55%
(1.73)
X
28%
(3.59)
2
17%
(4.06)
1X
83%
(1.19)
X2
45%
(1.97)
12
72%
(1.23)
Italy
Sorrento
Benevento
2
1
17%
(5.43)
X
21%
(3.72)
2
62%
(1.51)
1X
38%
(2.26)
X2
83%
(1.08)
12
79%
(1.2)
Japan
Zweigen Kanazawa
Tokushima Vortis
2
1
21%
(3.13)
X
17%
(3.31)
2
62%
(2.07)
1X
38%
(1.64)
X2
80%
(1.27)
12
83%
(1.27)
Kuwait
Al Arabi SC Kuwait
Al Tadhamon SC
1
1
57%
(1.14)
X
26%
(6.67)
2
17%
(12.83)
1X
83%
(1.02)
X2
43%
(4.68)
12
74%
(1.07)
Morocco
RSB Berkane
Difaa Hassani El Jadidi
1
1
46%
(1.33)
X
37%
(4.31)
2
18%
(8.13)
1X
82%
(1.04)
X2
54%
(2.89)
12
63%
(1.16)
Honduras
Deportivo Choloma
Motagua Tegucigalpa
2
1
20%
(5.92)
X
18%
(4.49)
2
62%
(1.39)
1X
38%
(2.61)
X2
80%
(1.08)
12
82%
(1.15)
Cyprus
APOEL Nicosia
Anorthosis Famagusta
1
1
47%
(1.62)
X
36%
(3.61)
2
18%
(4.69)
1X
82%
(1.14)
X2
54%
(2.09)
12
65%
(1.23)
Greece
Asteras Tripolis
Panserraikos
1
1
50%
(1.56)
X
32%
(3.81)
2
18%
(5.9)
1X
82%
(1.11)
X2
50%
(2.33)
12
68%
(1.23)
El Salvador
Platense Zacatecoluca
FAS Santa Ana
2
1
18%
(4.39)
X
22%
(3.55)
2
60%
(1.67)
1X
40%
(1.97)
X2
82%
(1.15)
12
78%
(1.22)
Peru
ADT Tarma
Juan Pablo II College
1
1
48%
(1.46)
X
34%
(4.1)
2
18%
(6.18)
1X
82%
(1.08)
X2
52%
(2.52)
12
66%
(1.19)
China
Wuhan Three Towns
Beijing Guoan
2
1
19%
(4.18)
X
24%
(4.19)
2
58%
(1.68)
1X
42%
(2.09)
X2
82%
(1.2)
12
76%
(1.2)
Belgium
Club Brugge
Anderlecht
1
1
55%
(1.58)
X
26%
(4.21)
2
19%
(4.95)
1X
82%
(1.15)
X2
45%
(2.28)
12
74%
(1.2)
Russia
Rubin Kazan
FK Krasnodar
2
1
19%
(4.24)
X
24%
(3.52)
2
58%
(1.94)
1X
42%
(1.9)
X2
81%
(1.23)
12
76%
(1.31)
Estonia
FCI Levadia Tallinn
Kuressaare
1
1
57%
(1.11)
X
24%
(7.5)
2
19%
(13.9)
1X
81%
(1.02)
X2
43%
(4.93)
12
76%
(1.06)
China
Zhejiang Professional
Qingdao West Coast
1
1
50%
(1.77)
X
31%
(3.87)
2
19%
(3.96)
1X
81%
(1.22)
X2
50%
(1.97)
12
69%
(1.22)
Israel
Hapoel Jerusalem
Beitar Jerusalem
2
1
19%
(5.47)
X
23%
(4.18)
2
58%
(1.48)
1X
42%
(2.39)
X2
81%
(1.11)
12
77%
(1.18)
Netherlands
Sparta Rotterdam
FC Zwolle
1
1
48%
(1.71)
X
33%
(4.1)
2
19%
(4.34)
1X
81%
(1.2)
X2
52%
(2.09)
12
67%
(1.22)
Italy
Bologna
Verona
1
1
50%
(1.6)
X
32%
(3.88)
2
19%
(6.14)
1X
81%
(1.12)
X2
51%
(2.33)
12
68%
(1.24)
Algeria
USM Alger
CS Constantine
1
1
45%
(1.82)
X
36%
(2.96)
2
19%
(4.49)
1X
81%
(1.15)
X2
55%
(1.8)
12
64%
(1.31)
USA
New York Red Bulls
CF Montreal
1
1
55%
(1.52)
X
27%
(4.37)
2
19%
(5.73)
1X
81%
(1.12)
X2
46%
(2.45)
12
73%
(1.2)
Malta
Hamrun Spartans
Birkirkara
1
1
43%
(1.47)
X
39%
(3.74)
2
19%
(6.13)
1X
81%
(1.07)
X2
57%
(2.39)
12
62%
(1.21)
Spain
Villarreal
Elche
1
1
54%
(1.49)
X
27%
(4.65)
2
19%
(6.18)
1X
81%
(1.11)
X2
46%
(2.6)
12
73%
(1.18)
England
Port Vale
Sunderland
2
1
19%
(7.24)
X
24%
(4.63)
2
57%
(1.43)
1X
43%
(2.83)
X2
81%
(1.08)
12
76%
(1.19)
Malta
Valletta
Tarxien Rainbows
1
1
54%
(1.37)
X
27%
(4.22)
2
19%
(7.08)
1X
81%
(1.05)
X2
46%
(2.68)
12
73%
(1.15)
Italy
Salernitana
Latina
1
1
48%
(1.42)
X
33%
(3.85)
2
19%
(6.97)
1X
81%
(1.06)
X2
52%
(2.47)
12
67%
(1.18)
Morocco
Union Touarga Sport
Wydad Casablanca
2
1
19%
(7.23)
X
26%
(3.99)
2
55%
(1.39)
1X
45%
(2.68)
X2
81%
(1.06)
12
74%
(1.19)
Luxembourg
Swift Hesperange
Mamer 32
1
1
52%
(1.71)
X
29%
(3.7)
2
20%
(4.12)
1X
80%
(1.2)
X2
49%
(1.96)
12
71%
(1.23)
Estonia
Tartu Tammeka
Nomme Kalju
2
1
20%
(7.44)
X
22%
(5.26)
2
59%
(1.28)
1X
41%
(3.16)
X2
80%
(1.05)
12
78%
(1.11)
Bulgaria
Fratria Varna
Sevlievo
1
1
45%
(1.28)
X
35%
(4.46)
2
20%
(9.1)
1X
80%
(1.04)
X2
55%
(3.06)
12
65%
(1.13)
Chile
Palestino Santiago
Cobresal El Salvador
1
1
49%
(1.62)
X
31%
(3.67)
2
20%
(5.28)
1X
80%
(1.12)
X2
51%
(2.16)
12
69%
(1.23)
Bulgaria
CSKA Sofia
Lokomotiv Sofia
1
1
45%
(1.43)
X
35%
(4.16)
2
20%
(6.78)
1X
80%
(1.08)
X2
55%
(2.58)
12
65%
(1.18)
Uruguay
Juventud de Las Piedras
Nacional Montevideo
2
1
20%
(7.29)
X
26%
(4.29)
2
55%
(1.38)
1X
45%
(2.71)
X2
80%
(1.07)
12
74%
(1.17)
Paraguay
Olimpia Asuncion
Sportivo San Lorenzo
1
1
49%
(1.43)
X
31%
(4.21)
2
20%
(6.55)
1X
80%
(1.08)
X2
51%
(2.6)
12
69%
(1.18)
USA
FC Cincinnati
Toronto FC
1
1
53%
(1.8)
X
28%
(3.78)
2
20%
(4.18)
1X
80%
(1.2)
X2
47%
(1.96)
12
73%
(1.26)
Hungary
Nyiregyhaza Spartacus
Ferencvarosi
2
1
20%
(4.65)
X
24%
(3.73)
2
56%
(1.63)
1X
44%
(2.09)
X2
80%
(1.15)
12
76%
(1.21)
France
Lens
Metz
1
1
47%
(1.32)
X
33%
(5.63)
2
20%
(9.15)
1X
80%
(1.05)
X2
53%
(3.43)
12
67%
(1.13)
Turkey
Fenerbahce
Samsunspor
1
1
48%
(1.44)
X
32%
(4.54)
2
20%
(6.97)
1X
80%
(1.09)
X2
52%
(2.7)
12
68%
(1.19)
Ukraine
Zarya Lugansk
SC Poltava
1
1
51%
(1.23)
X
29%
(5.35)
2
20%
(10.01)
1X
80%
(1.04)
X2
49%
(3.75)
12
71%
(1.12)
France
Lyonnais
Paris FC
1
1
53%
(1.7)
X
27%
(3.98)
2
20%
(4.89)
1X
80%
(1.16)
X2
48%
(2.12)
12
73%
(1.24)
Turkey
Caykur Rizespor
Antalyaspor
1
1
46%
(1.6)
X
34%
(3.98)
2
20%
(5.37)
1X
80%
(1.14)
X2
54%
(2.28)
12
66%
(1.22)
Slovenia
NK Aluminij Kidricevo
FC Koper
2
1
28%
(4.17)
X
20%
(3.84)
2
52%
(1.67)
1X
48%
(2.03)
X2
72%
(1.16)
12
80%
(1.2)
England
Fulham
Southampton
1
1
51%
(1.55)
X
29%
(4.39)
2
20%
(5.4)
1X
80%
(1.14)
X2
49%
(2.45)
12
71%
(1.2)
Costa Rica
Deportivo Saprissa
Herediano
1
1
44%
(1.7)
X
36%
(3.51)
2
21%
(4.35)
1X
79%
(1.16)
X2
56%
(1.97)
12
64%
(1.24)
England
Queens Park Rangers
Middlesbrough
2
1
21%
(3.81)
X
21%
(3.58)
2
59%
(1.91)
1X
41%
(1.84)
X2
79%
(1.23)
12
79%
(1.27)
Russia
FC Orenburg
Zenit Sankt Peterburg
2
1
21%
(6.26)
X
26%
(4.23)
2
54%
(1.56)
1X
46%
(2.52)
X2
79%
(1.14)
12
75%
(1.23)
Belgium
Lokeren
SK Beveren
2
1
21%
(5.02)
X
23%
(3.92)
2
56%
(1.54)
1X
44%
(2.23)
X2
79%
(1.11)
12
77%
(1.2)
Faroe Islands
Skala IF
HB Torshavn
2
1
21%
(5.51)
X
25%
(4.28)
2
54%
(1.44)
1X
46%
(2.45)
X2
79%
(1.08)
12
75%
(1.14)
Mexico
Atlas Guadalajara
Chivas Guadalajara
2
1
21%
(4.74)
X
23%
(3.71)
2
56%
(1.69)
1X
44%
(2.05)
X2
79%
(1.16)
12
77%
(1.24)
South Korea
Seongnam FC
Chungbuk Cheongju
1
1
45%
(1.69)
X
34%
(3.28)
2
21%
(4.65)
1X
79%
(1.14)
X2
55%
(1.96)
12
66%
(1.25)
Moldova
Petrocub-Hincesti
Dacia Buiucani
1
1
52%
(1.23)
X
27%
(5.25)
2
21%
(9.95)
1X
79%
X2
48%
12
73%
Venezuela
Monagas SC
Trujillanos FC
1
1
48%
(1.72)
X
31%
(3.38)
2
21%
(4.4)
1X
79%
(1.15)
X2
53%
(1.87)
12
69%
(1.25)
Ukraine
Karpaty Lviv
FC Kudrivka
1
1
47%
(1.7)
X
32%
(3.7)
2
21%
(4.51)
1X
79%
(1.18)
X2
53%
(2.07)
12
69%
(1.25)
Poland
Rakow Czestochowa
Pogon Szczecin
1
1
42%
(1.77)
X
37%
(3.73)
2
21%
(4.15)
1X
79%
(1.19)
X2
58%
(1.96)
12
63%
(1.24)
USA
Los Angeles FC
FC Dallas
1
1
48%
(1.32)
X
31%
(5.15)
2
21%
(8.81)
1X
79%
(1.06)
X2
52%
(3.29)
12
69%
(1.14)
Mexico
Deportivo Toluca
Juarez
1
1
48%
(1.33)
X
31%
(4.98)
2
21%
(8.3)
1X
79%
(1.05)
X2
52%
(3.1)
12
69%
(1.14)
Austria
Rapid Wien
Red Bull Salzburg
2
1
21%
(3.14)
X
29%
(3.46)
2
50%
(2.17)
1X
50%
(1.64)
X2
79%
(1.33)
12
71%
(1.27)
Turkey
Boluspor
Igdir FK
2
1
22%
(2.91)
X
21%
(3.3)
2
56%
(2.17)
1X
44%
(1.57)
X2
78%
(1.32)
12
79%
(1.25)
Albania
KF Tirana
Elbasani
2
1
22%
(3.4)
X
23%
(3.21)
2
55%
(1.97)
1X
45%
(1.65)
X2
79%
(1.25)
12
77%
(1.27)
USA
Nashville SC
Minnesota United
1
1
51%
(1.63)
X
28%
(4.11)
2
22%
(5.01)
1X
78%
(1.15)
X2
49%
(2.26)
12
72%
(1.22)
Russia
Neftekhimik Nizhnekamsk
Fakel Voronezh
2
1
22%
(3.75)
X
25%
(2.95)
2
53%
(2.17)
1X
47%
(1.65)
X2
78%
(1.24)
12
75%
(1.37)
Italy
Cosenza
Team Altamura
1
1
42%
(1.64)
X
36%
(3.41)
2
22%
(4.78)
1X
78%
(1.11)
X2
58%
(2.05)
12
64%
(1.23)
South Korea
Ansan Greeners
Busan I'Park
2
1
22%
(3.62)
X
26%
(3.09)
2
53%
(1.95)
1X
47%
(1.7)
X2
78%
(1.22)
12
75%
(1.29)
Italy
Fiorentina
Parma
1
1
43%
(1.76)
X
35%
(3.64)
2
22%
(4.93)
1X
78%
(1.17)
X2
57%
(2.03)
12
65%
(1.26)
Spain
Las Palmas
Ceuta
1
1
49%
(1.65)
X
29%
(3.61)
2
22%
(4.91)
1X
78%
(1.14)
X2
51%
(2.1)
12
71%
(1.25)
El Salvador
Isidro Metapan
Hercules San Salvador
1
1
46%
(1.37)
X
32%
(4.2)
2
22%
(6.94)
1X
78%
(1.07)
X2
54%
(2.7)
12
69%
(1.16)
Japan
SC Sagamihara
Tochigi SC
2
1
27%
(3.1)
X
22%
(3.12)
2
50%
(2.2)
1X
50%
(1.59)
X2
73%
(1.27)
12
78%
(1.31)
Hungary
Kazincbarcikai SC
Debreceni
2
1
27%
(4.01)
X
23%
(3.63)
2
51%
(1.76)
1X
49%
(1.91)
X2
73%
(1.19)
12
78%
(1.23)
Faroe Islands
B36 Torshavn
EB Streymur
1
1
45%
(1.34)
X
33%
(4.56)
2
23%
(7.13)
1X
77%
(1.05)
X2
55%
(2.81)
12
67%
(1.13)
Bulgaria
CSKA 1948 Sofia
Botev Plovdiv
1
1
44%
(1.65)
X
34%
(3.7)
2
23%
(4.83)
1X
77%
(1.14)
X2
56%
(2.09)
12
66%
(1.23)
Greece
Levadiakos
Panathinaikos
2
1
23%
(3.5)
X
26%
(3.08)
2
51%
(2.14)
1X
49%
(1.64)
X2
77%
(1.26)
12
74%
(1.34)
Costa Rica
San Carlos
LD Alajuelense
2
1
23%
(3.72)
X
29%
(2.92)
2
48%
(1.99)
1X
52%
(1.71)
X2
77%
(1.21)
12
71%
(1.31)
Netherlands
Willem II Tilburg
FC Den Bosch
1
1
43%
(1.63)
X
34%
(4.16)
2
23%
(4.33)
1X
77%
(1.17)
X2
57%
(2.15)
12
66%
(1.2)
Germany
Ingolstadt
Verl
2
1
30%
(2.86)
X
23%
(3.75)
2
47%
(2.12)
1X
53%
(1.6)
X2
70%
(1.35)
12
77%
(1.22)
Germany
Hannover
Greuther Furth
1
1
43%
(1.37)
X
34%
(5.03)
2
23%
(7.08)
1X
77%
(1.08)
X2
57%
(2.94)
12
66%
(1.14)
Japan
Kamatamare Sanuki
Imabari
2
1
30%
(4.7)
X
23%
(3.59)
2
47%
(1.64)
1X
53%
(2.04)
X2
71%
(1.14)
12
77%
(1.23)
Netherlands
SC Cambuur
Jong FC Utrecht
1
1
46%
(1.43)
X
31%
(4.74)
2
23%
(5.71)
1X
77%
(1.11)
X2
55%
(2.64)
12
69%
(1.16)
England
Leeds
Norwich
1
1
45%
(1.45)
X
31%
(4.66)
2
24%
(6.46)
1X
77%
(1.1)
X2
55%
(2.71)
12
69%
(1.18)
Italy
Genoa
Roma
2
1
24%
(4.39)
X
24%
(3.44)
2
53%
(1.91)
1X
47%
(1.88)
X2
76%
(1.2)
12
77%
(1.31)
Ecuador
Libertad Loja
LDU de Quito
2
1
24%
(3.47)
X
29%
(3.49)
2
47%
(1.93)
1X
53%
(1.76)
X2
76%
(1.24)
12
71%
(1.27)
Guatemala
Deportivo Mictlan
Municipal
2
1
24%
(3.44)
X
31%
(2.92)
2
45%
(2.09)
1X
55%
(1.61)
X2
76%
(1.24)
12
69%
(1.32)
Portugal
Maritimo
Porto B
1
1
42%
(1.52)
X
34%
(3.89)
2
24%
(5.27)
1X
76%
(1.11)
X2
58%
(2.28)
12
66%
(1.2)
Malta
Marsaxlokk
Naxxar Lions
1
1
46%
(1.68)
X
30%
(3.55)
2
24%
(4.26)
1X
76%
(1.15)
X2
54%
(1.95)
12
70%
(1.21)
Czech Republic
Banik Ostrava
Zlin
1
1
40%
(1.8)
X
36%
(3.51)
2
24%
(4.21)
1X
76%
(1.19)
X2
60%
(1.92)
12
64%
(1.26)
Spain
Deportivo La Coruna
Granada CF
1
1
43%
(1.82)
X
34%
(3.3)
2
24%
(4.31)
1X
76%
(1.18)
X2
58%
(1.89)
12
67%
(1.29)
Italy
Milan
Inter
2
1
24%
(3.45)
X
26%
(3.18)
2
50%
(2.26)
1X
50%
(1.63)
X2
76%
(1.29)
12
74%
(1.33)
Netherlands
NAC Breda
Feyenoord
2
1
24%
(4.03)
X
26%
(3.79)
2
50%
(1.84)
1X
50%
(1.92)
X2
76%
(1.23)
12
74%
(1.26)
South Korea
Cheonan City
Gimpo FC
2
1
24%
(3.56)
X
26%
(3.16)
2
50%
(1.94)
1X
50%
(1.71)
X2
76%
(1.22)
12
74%
(1.28)
El Salvador
Alianza San Salvador
Fuerte San Francisco
1
1
46%
(1.3)
X
30%
(4.5)
2
24%
(8.85)
1X
76%
(1.04)
X2
55%
(3.06)
12
70%
(1.15)
Latvia
Auda Kekava
Super Nova Riga
1
1
44%
(1.76)
X
24%
(3.47)
2
32%
(3.96)
1X
68%
(1.18)
X2
56%
(1.88)
12
76%
(1.23)
France
Lille
Lorient
1
1
42%
(1.52)
X
34%
(4.31)
2
24%
(6.46)
1X
76%
(1.1)
X2
58%
(2.52)
12
67%
(1.21)
Mexico
Pachuca
Puebla
1
1
44%
(1.78)
X
31%
(3.64)
2
25%
(4.23)
1X
75%
(1.19)
X2
56%
(1.93)
12
69%
(1.25)
Luxembourg
Rodange 91
F91 Dudelange
2
1
27%
(7.06)
X
25%
(4.9)
2
48%
(1.33)
1X
52%
(2.88)
X2
73%
(1.07)
12
75%
(1.14)
Albania
Flamurtari Vlore
Vllaznia Shkoder
2
1
25%
(3.93)
X
29%
(3.12)
2
47%
(1.87)
1X
53%
(1.78)
X2
75%
(1.19)
12
71%
(1.27)
Netherlands
NEC Nijmegen
FC Volendam
1
1
47%
(1.31)
X
28%
(5.79)
2
25%
(8.21)
1X
75%
(1.06)
X2
53%
(3.42)
12
72%
(1.12)
Venezuela
Anzoategui FC
Academia Puerto Cabello
2
1
25%
(3.67)
X
28%
(3.05)
2
48%
(1.95)
1X
53%
(1.68)
X2
75%
(1.22)
12
72%
(1.3)
Japan
Fagiano Okayama
Kyoto Sanga FC
2
1
25%
(3.2)
X
29%
(3.17)
2
46%
(2.21)
1X
54%
(1.61)
X2
75%
(1.29)
12
71%
(1.31)
Armenia
BKMA
Noah
2
1
27%
(7.29)
X
25%
(4.61)
2
48%
(1.32)
1X
52%
(2.9)
X2
73%
(1.06)
12
75%
(1.14)
Venezuela
Rayo Zuliano
Universidad Central
2
1
25%
(3.37)
X
29%
(3.11)
2
45%
(2.05)
1X
55%
(1.66)
X2
75%
(1.24)
12
71%
(1.29)
Cyprus
Enosis Neon Paralimni
Aris Limassol
2
1
28%
(23.8)
X
26%
(9.94)
2
47%
(1.05)
1X
53%
(7.26)
X2
73%
(1.01)
12
75%
(1.04)
Australia
Auckland FC
Perth Glory
1
1
45%
(1.45)
X
29%
(4.56)
2
26%
(6.35)
1X
74%
(1.1)
X2
55%
(2.59)
12
71%
(1.18)
Netherlands
Go Ahead Eagles
Twente
2
1
26%
(4.22)
X
26%
(4)
2
48%
(1.75)
1X
52%
(2.03)
X2
74%
(1.21)
12
74%
(1.23)
Ecuador
Aucas Quito
Deportivo Cuenca
1
1
41%
(1.78)
X
34%
(3.35)
2
26%
(4.33)
1X
74%
(1.18)
X2
59%
(1.88)
12
66%
(1.28)
Italy
Ternana
Gubbio
1
1
37%
(1.58)
X
37%
(3.49)
2
26%
(5.33)
1X
74%
(1.09)
X2
63%
(2.19)
12
63%
(1.24)
Kuwait
Al Shabab SC Kuwait
Kazma SC Kuwait
2
1
26%
(4.87)
X
27%
(3.67)
2
46%
(1.56)
1X
54%
(2.2)
X2
74%
(1.13)
12
73%
(1.22)
Hungary
MTK Budapest
Diosgyori
1
1
42%
(2.02)
X
32%
(3.55)
2
26%
(3.16)
1X
74%
(1.3)
X2
58%
(1.67)
12
68%
(1.23)
Czech Republic
Hradec Kralove
Viktoria Plzen
2
1
26%
(3.59)
X
29%
(3.39)
2
44%
(1.99)
1X
56%
(1.75)
X2
74%
(1.25)
12
71%
(1.29)
Germany
Waldhof Mannheim
Havelse
1
1
43%
(1.71)
X
31%
(3.92)
2
27%
(4)
1X
73%
(1.18)
X2
57%
(1.98)
12
69%
(1.2)
Peru
Cusco FC
Deportivo Garcilaso
1
1
37%
(1.86)
X
36%
(3.26)
2
27%
(4.01)
1X
73%
(1.2)
X2
63%
(1.79)
12
64%
(1.3)
Spain
Barakaldo
Ourense
1
1
39%
(1.83)
X
28%
(3.14)
2
32%
(4.21)
1X
68%
(1.16)
X2
61%
(1.83)
12
72%
(1.31)
Slovakia
Petrzalka Bratislava
MFK Zvolen
1
1
41%
(1.76)
X
31%
(3.48)
2
29%
(4.02)
1X
72%
(1.2)
X2
59%
(1.86)
12
69%
(1.24)
Peru
Los Chankas CYC
Universitario de Deportes
2
1
32%
(4.3)
X
29%
(3.2)
2
39%
(1.82)
1X
61%
(1.89)
X2
68%
(1.15)
12
72%
(1.3)
Italy
Carrarese
Palermo
2
1
29%
(3.19)
X
32%
(3.2)
2
39%
(2.2)
1X
61%
(1.63)
X2
71%
(1.31)
12
68%
(1.31)
USA
Charlotte FC
Austin FC
1
1
37%
(2.05)
X
33%
(3.48)
2
29%
(3.51)
1X
71%
(1.28)
X2
63%
(1.74)
12
67%
(1.29)
USA
Colorado Rapids
Los Angeles Galaxy
1
1
38%
(2.25)
X
30%
(3.87)
2
33%
(2.79)
1X
67%
(1.41)
X2
63%
(1.61)
12
70%
(1.24)
Belgium
KAA Gent
Mechelen
2
1
35%
(1.95)
X
30%
(3.63)
2
35%
(3.56)
1X
65%
(1.26)
X2
65%
(1.8)
12
70%
(1.26)
USA
Portland Timbers
Vancouver Whitecaps
2
1
30%
(4.04)
X
30%
(4.13)
2
40%
(1.76)
1X
60%
(2.03)
X2
70%
(1.22)
12
70%
(1.22)
Venezuela
Metropolitanos FC
Portuguesa Acarigua
1
1
37%
(2.27)
X
33%
(3.08)
2
30%
(2.91)
1X
70%
(1.32)
X2
63%
(1.52)
12
67%
(1.28)
Germany
Duisburg
Saarbrucken
1
1
35%
(2.2)
X
31%
(3.34)
2
34%
(2.96)
1X
66%
(1.32)
X2
65%
(1.56)
12
69%
(1.26)
Belgium
Saint Truiden
Cercle Brugge
2
1
34%
(1.88)
X
31%
(3.8)
2
35%
(3.71)
1X
65%
(1.25)
X2
66%
(1.87)
12
69%
(1.24)
India
Shillong Lajong FC
Real Kashmir
1
1
36%
(2.67)
X
32%
(3.25)
2
32%
(2.33)
1X
68%
(1.51)
X2
64%
(1.4)
12
68%
(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.