Updated on February 21, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Thailand
Port Bangkok
Nakhon Ratchasima FC
1
1
73%
(1.2)
X
18%
(5.88)
2
9%
(9.59)
1X
91%
(1.03)
X2
27%
(3.74)
12
82%
(1.08)
Germany
Elversberg
Eintracht Braunschweig
1
1
68%
(1.56)
X
23%
(4.09)
2
10%
(5.47)
1X
91%
(1.13)
X2
32%
(2.33)
12
77%
(1.2)
Cyprus
Pafos FC
Anorthosis Famagusta
1
1
63%
(1.4)
X
26%
(4.15)
2
11%
(6.4)
1X
89%
(1.08)
X2
37%
(2.59)
12
74%
(1.18)
France
Paris Saint Germain
Metz
1
1
65%
(1.13)
X
23%
(9.59)
2
12%
(16)
1X
88%
(1.03)
X2
35%
(5.76)
12
77%
(1.07)
Portugal
Benfica
AVS Futebol SAD
1
1
67%
(1.09)
X
20%
(10.73)
2
13%
(26.17)
1X
87%
(1.01)
X2
33%
(7.65)
12
80%
(1.05)
Germany
Bayern Munchen
Eintracht Frankfurt
1
1
71%
(1.12)
X
17%
(10.1)
2
13%
(17.08)
1X
87%
(1.02)
X2
29%
(5.99)
12
84%
(1.05)
Scotland
Inverness
Stenhousemuir
1
1
60%
(1.5)
X
26%
(3.77)
2
14%
(5.76)
1X
86%
(1.1)
X2
40%
(2.33)
12
74%
(1.22)
Cyprus
Apollon Limassol
Ethnikos Achna
1
1
61%
(1.38)
X
25%
(4.31)
2
14%
(6.9)
1X
86%
(1.07)
X2
39%
(2.73)
12
75%
(1.17)
Scotland
Hearts
Falkirk
1
1
58%
(1.63)
X
29%
(3.89)
2
14%
(5.01)
1X
86%
(1.15)
X2
43%
(2.18)
12
71%
(1.23)
Colombia
Atletico Nacional
Alianza Valledupar
1
1
62%
(1.34)
X
24%
(4.67)
2
14%
(8.56)
1X
86%
(1.06)
X2
38%
(3.01)
12
76%
(1.16)
Singapore
Young Lions
Albirex Niigata SIN
2
1
14%
(11.45)
X
17%
(6.89)
2
69%
(1.15)
1X
31%
(4.57)
X2
86%
(1.04)
12
83%
(1.07)
Saudi Arabia
Al-Hilal Riyadh
Al-Ittihad Jeddah
1
1
60%
(1.46)
X
26%
(4.46)
2
14%
(5.69)
1X
86%
(1.12)
X2
40%
(2.52)
12
74%
(1.16)
Slovakia
Spartak Trnava
Zeleziarne Podbrezova
1
1
63%
(1.76)
X
23%
(3.71)
2
15%
(3.91)
1X
86%
(1.2)
X2
37%
(1.97)
12
77%
(1.22)
Iceland
Valur Reykjavik
Afturelding Mosfellsbaer
1
1
67%
(1.4)
X
18%
(4.46)
2
15%
(5.73)
1X
85%
(1.09)
X2
33%
(2.57)
12
82%
(1.16)
Thailand
Buriram United
Sukhothai FC
1
1
60%
(1.11)
X
25%
(7.51)
2
15%
(14.6)
1X
85%
(1.02)
X2
40%
(5.06)
12
75%
(1.05)
Spain
Leganes
Cultural Leonesa
1
1
56%
(1.71)
X
29%
(3.45)
2
15%
(4.79)
1X
85%
(1.16)
X2
44%
(2)
12
71%
(1.27)
Portugal
SC Braga
Vitoria Guimaraes
1
1
56%
(1.57)
X
29%
(4.03)
2
15%
(5.65)
1X
85%
(1.13)
X2
44%
(2.33)
12
71%
(1.22)
Tunisia
Esperance de Tunis
Stade Tunisien Tunis
1
1
51%
(1.39)
X
34%
(3.73)
2
15%
(8.92)
1X
85%
(1.05)
X2
49%
(2.59)
12
66%
(1.2)
Germany
FC Koln
Hoffenheim
2
1
18%
(3.37)
X
15%
(3.77)
2
67%
(2.07)
1X
34%
(1.74)
X2
82%
(1.32)
12
85%
(1.26)
Netherlands
PSV Eindhoven
Heerenveen
1
1
58%
(1.35)
X
26%
(5.55)
2
16%
(7.33)
1X
84%
(1.08)
X2
43%
(3.12)
12
74%
(1.14)
Bosnia and Herzegovina
FK Sarajevo
Posusje
1
1
50%
(1.39)
X
33%
(3.87)
2
16%
(7.45)
1X
84%
(1.06)
X2
50%
(2.58)
12
67%
(1.19)
Czech Republic
Slavia Prague
Slovan Liberec
1
1
55%
(1.37)
X
28%
(4.67)
2
17%
(7.56)
1X
83%
(1.07)
X2
45%
(2.9)
12
72%
(1.16)
Scotland
Montrose
Queen of the South
2
1
17%
(4.01)
X
22%
(3.67)
2
61%
(1.72)
1X
39%
(1.98)
X2
83%
(1.19)
12
78%
(1.23)
Portugal
Moreirense
Sporting CP
2
1
17%
(10.03)
X
18%
(5.4)
2
65%
(1.29)
1X
35%
(3.42)
X2
83%
(1.05)
12
82%
(1.14)
Italy
Ravenna
Sambenedettese
1
1
43%
(1.59)
X
40%
(3.49)
2
17%
(5.1)
1X
83%
(1.11)
X2
57%
(2.11)
12
60%
(1.22)
Argentina
San Martin de San Juan
Atletico Guemes
1
1
45%
(1.8)
X
38%
(3.01)
2
17%
(4.89)
1X
83%
(1.14)
X2
55%
(1.88)
12
62%
(1.33)
Colombia
Once Caldas
Fortaleza CEIF
1
1
51%
(1.75)
X
32%
(3.42)
2
17%
(4.67)
1X
83%
(1.16)
X2
49%
(1.98)
12
68%
(1.28)
Algeria
USM Alger
JS Saoura
1
1
44%
(1.57)
X
39%
(3.31)
2
17%
(5.9)
1X
83%
(1.09)
X2
56%
(2.19)
12
61%
(1.26)
Turkey
Konyaspor
Galatasaray
2
1
17%
(6.01)
X
20%
(4.61)
2
62%
(1.46)
1X
38%
(2.6)
X2
83%
(1.12)
12
80%
(1.18)
Malta
Tarxien Rainbows
Naxxar Lions
2
1
22%
(3.51)
X
18%
(3.36)
2
61%
(1.88)
1X
39%
(1.76)
X2
78%
(1.24)
12
83%
(1.24)
Spain
Atletico Madrid B
Gimnastic de Tarragona
1
1
48%
(1.64)
X
35%
(3.27)
2
18%
(5.18)
1X
83%
(1.12)
X2
52%
(1.99)
12
65%
(1.27)
Austria
Sturm Graz II
Liefering
2
1
18%
(2.94)
X
22%
(3.62)
2
61%
(2.13)
1X
40%
(1.64)
X2
83%
(1.35)
12
78%
(1.23)
Bosnia and Herzegovina
Sloga Doboj
Borac Banja Luka
2
1
18%
(7.03)
X
24%
(3.63)
2
58%
(1.46)
1X
42%
(2.62)
X2
82%
(1.05)
12
76%
(1.19)
France
Lens
Monaco
1
1
53%
(1.73)
X
29%
(4.25)
2
18%
(4.27)
1X
82%
(1.21)
X2
47%
(2.09)
12
71%
(1.21)
England
Harrogate Town
Bromley
2
1
18%
(4.9)
X
20%
(3.65)
2
62%
(1.66)
1X
38%
(2.1)
X2
82%
(1.14)
12
80%
(1.25)
Honduras
Real Espana
Lobos UPNFM Tegucigalpa
1
1
44%
(1.52)
X
39%
(3.65)
2
18%
(5.54)
1X
82%
(1.1)
X2
56%
(2.23)
12
62%
(1.2)
England
York City
Halifax
1
1
54%
(1.29)
X
28%
(5.03)
2
18%
(7.47)
1X
82%
(1.06)
X2
46%
(3.18)
12
72%
(1.11)
Serbia
Vojvodina Novi Sad
FK Novi Pazar
1
1
52%
(1.62)
X
31%
(3.65)
2
18%
(4.78)
1X
82%
(1.14)
X2
49%
(2.15)
12
70%
(1.24)
Israel
Maccabi Haifa
Hapoel Petah Tikva
1
1
52%
(1.56)
X
30%
(3.97)
2
18%
(4.81)
1X
82%
(1.14)
X2
48%
(2.21)
12
70%
(1.2)
Italy
Palermo
Sudtirol
1
1
47%
(1.71)
X
35%
(3.53)
2
18%
(4.79)
1X
82%
(1.16)
X2
53%
(2.04)
12
65%
(1.27)
Colombia
Atletico Bucaramanga
Deportivo Cali
1
1
51%
(1.69)
X
31%
(3.38)
2
18%
(5.15)
1X
82%
(1.14)
X2
50%
(2.05)
12
69%
(1.28)
England
Manchester City
Newcastle
1
1
52%
(1.52)
X
30%
(4.95)
2
18%
(5.5)
1X
82%
(1.14)
X2
48%
(2.54)
12
70%
(1.17)
Hungary
Kazincbarcikai SC
Puskas Academy
2
1
19%
(4.26)
X
18%
(3.51)
2
62%
(1.73)
1X
38%
(1.97)
X2
81%
(1.17)
12
82%
(1.25)
Bahrain
Malkia
Al-Khalidiya
2
1
18%
(6.1)
X
23%
(3.22)
2
58%
(1.57)
1X
42%
(2.14)
X2
82%
(1.07)
12
77%
(1.26)
England
Huddersfield
Barnsley
1
1
52%
(1.78)
X
30%
(3.7)
2
19%
(4.11)
1X
82%
(1.2)
X2
48%
(1.94)
12
70%
(1.24)
Peru
Alianza Lima
Sport Boys
1
1
52%
(1.35)
X
30%
(4.41)
2
19%
(8.29)
1X
81%
(1.06)
X2
48%
(3.01)
12
70%
(1.16)
England
Cheltenham
Salford City
2
1
19%
(3.94)
X
23%
(3.65)
2
59%
(1.83)
1X
41%
(1.9)
X2
81%
(1.21)
12
78%
(1.25)
England
Middlesbrough
Oxford United
1
1
42%
(1.38)
X
39%
(4.68)
2
19%
(7.97)
1X
81%
(1.07)
X2
58%
(2.94)
12
61%
(1.17)
Belgium
Club Brugge
Oud-Heverlee Leuven
1
1
55%
(1.36)
X
26%
(4.9)
2
19%
(7.47)
1X
81%
(1.08)
X2
45%
(2.98)
12
74%
(1.16)
Germany
Duisburg
Schweinfurt 05
1
1
54%
(1.4)
X
28%
(4.56)
2
19%
(6.32)
1X
81%
(1.08)
X2
46%
(2.69)
12
73%
(1.15)
Romania
CFR Cluj
Petrolul Ploiesti
1
1
47%
(1.62)
X
34%
(3.56)
2
19%
(5.34)
1X
81%
(1.12)
X2
53%
(2.17)
12
66%
(1.25)
Japan
Jubilo Iwata
Matsumoto Yamaga
1
1
50%
(1.73)
X
31%
(3.48)
2
19%
(4.21)
1X
81%
(1.16)
X2
50%
(1.95)
12
69%
(1.25)
Saudi Arabia
Al-Nassr Riyadh
Al-Hazem
1
1
50%
(1.11)
X
31%
(8.69)
2
19%
(14.92)
1X
81%
(1.03)
X2
50%
(5.76)
12
69%
(1.05)
Scotland
Partick Thistle
Airdrieonians
1
1
44%
(1.54)
X
37%
(3.77)
2
19%
(5.42)
1X
81%
(1.12)
X2
56%
(2.27)
12
63%
(1.21)
Indonesia
Persis Solo
PSBS Biak
1
1
47%
(1.68)
X
34%
(3.6)
2
19%
(4.22)
1X
81%
(1.16)
X2
53%
(2.03)
12
66%
(1.21)
Guatemala
Deportivo Malacateco
Deportivo Achuapa
1
1
45%
(1.35)
X
36%
(4.15)
2
20%
(7.97)
1X
81%
(1.05)
X2
55%
(2.81)
12
64%
(1.16)
Spain
Osasuna
Real Madrid
2
1
20%
(4.92)
X
26%
(4.05)
2
55%
(1.68)
1X
46%
(2.17)
X2
81%
(1.17)
12
74%
(1.23)
Azerbaijan
Neftchi Baku
Qarabag Agdam
2
1
20%
(4.1)
X
21%
(3.35)
2
59%
(1.76)
1X
41%
(1.88)
X2
80%
(1.17)
12
79%
(1.26)
England
Stockport
Wigan
1
1
48%
(1.62)
X
33%
(3.79)
2
20%
(5.16)
1X
80%
(1.14)
X2
52%
(2.19)
12
67%
(1.24)
San Marino
SP La Fiorita
AC Libertas
1
1
48%
(1.19)
X
33%
(5.83)
2
20%
(10.07)
1X
80%
(1.03)
X2
52%
(3.82)
12
67%
(1.08)
Wales
Barry Town United
Connah's Quay Nomads
2
1
21%
(3.52)
X
20%
(3.41)
2
60%
(1.88)
1X
40%
(1.77)
X2
79%
(1.23)
12
80%
(1.24)
Serbia
Radnik Surdulica
Napredak Krusevac
1
1
44%
(1.59)
X
37%
(3.55)
2
20%
(5.26)
1X
80%
(1.12)
X2
56%
(2.16)
12
64%
(1.24)
England
Luton
Burton Albion
1
1
46%
(1.74)
X
35%
(3.68)
2
20%
(4.37)
1X
80%
(1.18)
X2
55%
(2.01)
12
65%
(1.24)
Bosnia and Herzegovina
Zrinjski Mostar
Siroki Brijeg
1
1
42%
(1.28)
X
38%
(4.43)
2
20%
(10.1)
1X
80%
(1.03)
X2
58%
(3.11)
12
62%
(1.14)
Scotland
Peterhead
East Fife
1
1
51%
(1.62)
X
29%
(3.77)
2
20%
(4.53)
1X
80%
(1.14)
X2
49%
(2.14)
12
71%
(1.22)
Ecuador
Barcelona Guayaquil
Tecnico Universitario
1
1
46%
(1.44)
X
34%
(3.94)
2
20%
(7.14)
1X
80%
(1.08)
X2
54%
(2.55)
12
66%
(1.21)
Spain
Real Sociedad
Real Oviedo
1
1
51%
(1.51)
X
29%
(4.02)
2
20%
(7.27)
1X
80%
(1.09)
X2
49%
(2.53)
12
71%
(1.23)
Azerbaijan
Karvan Yevlakh
Araz-Naxcivan
2
1
20%
(4.39)
X
21%
(3.36)
2
59%
(1.7)
1X
41%
(1.96)
X2
80%
(1.15)
12
79%
(1.24)
Israel
Maccabi Tel Aviv
M.S. Ashdod
1
1
48%
(1.25)
X
32%
(5.43)
2
20%
(8.7)
1X
80%
(1.05)
X2
52%
(3.44)
12
68%
(1.11)
Greece
Olympiacos Piraeus
Panetolikos
1
1
49%
(1.1)
X
30%
(8.63)
2
21%
(22.42)
1X
79%
(1.01)
X2
51%
(6.37)
12
70%
(1.06)
Bulgaria
Lokomotiv Plovdiv
Spartak Varna
1
1
42%
(1.46)
X
38%
(3.88)
2
21%
(6.85)
1X
79%
(1.08)
X2
59%
(2.51)
12
62%
(1.22)
Montenegro
Mornar Bar
Arsenal Tivat
1
1
51%
(1.5)
X
28%
(3.5)
2
21%
(6.3)
1X
79%
(1.08)
X2
49%
(2.28)
12
72%
(1.23)
Czech Republic
Hradec Kralove
Zlin
1
1
45%
(1.79)
X
34%
(3.39)
2
21%
(4.44)
1X
79%
(1.18)
X2
55%
(1.92)
12
66%
(1.28)
England
Bolton
Blackpool
1
1
41%
(1.51)
X
39%
(4.13)
2
21%
(5.75)
1X
79%
(1.11)
X2
60%
(2.41)
12
61%
(1.19)
Italy
Venezia
Pescara
1
1
47%
(1.31)
X
32%
(5.17)
2
21%
(8.15)
1X
79%
(1.06)
X2
53%
(3.29)
12
68%
(1.14)
England
Rochdale
Woking
1
1
50%
(1.36)
X
29%
(4.21)
2
21%
(7.52)
1X
79%
(1.06)
X2
50%
(2.74)
12
71%
(1.18)
Switzerland
Winterthur
Thun
2
1
21%
(5.73)
X
26%
(4.69)
2
53%
(1.46)
1X
47%
(2.6)
X2
79%
(1.12)
12
74%
(1.17)
Italy
Gubbio
Arezzo
2
1
21%
(4.41)
X
28%
(3.05)
2
51%
(1.79)
1X
49%
(1.85)
X2
79%
(1.14)
12
72%
(1.3)
Slovakia
DAC Dunajska Streda
MFK Skalica
1
1
47%
(1.4)
X
31%
(4.33)
2
21%
(6.56)
1X
79%
(1.07)
X2
53%
(2.67)
12
69%
(1.17)
England
Southampton
Charlton
1
1
47%
(1.56)
X
32%
(4.16)
2
21%
(5.49)
1X
79%
(1.12)
X2
53%
(2.35)
12
68%
(1.21)
Spain
Atletico Madrid
Espanyol
1
1
48%
(1.5)
X
30%
(4.23)
2
21%
(6.8)
1X
79%
(1.09)
X2
52%
(2.6)
12
70%
(1.21)
Lithuania
Zalgiris Vilnius
Dziugas Telsiai
1
1
46%
(1.41)
X
32%
(4.23)
2
21%
(5.97)
1X
79%
(1.09)
X2
54%
(2.57)
12
68%
(1.17)
Netherlands
NAC Breda
FC Volendam
1
1
47%
(1.6)
X
32%
(4.02)
2
22%
(5.39)
1X
78%
(1.14)
X2
53%
(2.28)
12
68%
(1.23)
Algeria
Olympique Akbou
Paradou AC
1
1
40%
(1.64)
X
38%
(3.3)
2
22%
(5)
1X
78%
(1.13)
X2
60%
(2.03)
12
62%
(1.26)
Malaysia
Negeri Sembilan FC
Immigration FC
1
1
52%
(1.67)
X
26%
(3.76)
2
22%
(4.12)
1X
78%
(1.18)
X2
48%
(2)
12
74%
(1.21)
Belgium
Union Saint-Gilloise
Royal Antwerp
1
1
43%
(1.39)
X
35%
(4.49)
2
22%
(7.73)
1X
78%
(1.08)
X2
57%
(2.85)
12
65%
(1.18)
France
Reims
Amiens
1
1
48%
(1.4)
X
30%
(4.51)
2
22%
(7.2)
1X
78%
(1.08)
X2
52%
(2.8)
12
70%
(1.18)
Bulgaria
CSKA Sofia
Slavia Sofia
1
1
47%
(1.33)
X
31%
(4.61)
2
22%
(8.66)
1X
78%
(1.06)
X2
53%
(2.99)
12
69%
(1.16)
Chile
Huachipato Talcahuano
Palestino Santiago
2
1
22%
(3.37)
X
23%
(3.15)
2
55%
(2.09)
1X
45%
(1.65)
X2
78%
(1.28)
12
77%
(1.31)
England
Mansfield
Lincoln
2
1
22%
(3.39)
X
25%
(3.38)
2
53%
(2.07)
1X
47%
(1.69)
X2
78%
(1.28)
12
75%
(1.28)
Netherlands
FC Eindhoven
Almere City FC
2
1
22%
(3.07)
X
24%
(3.72)
2
54%
(2.05)
1X
46%
(1.69)
X2
78%
(1.33)
12
76%
(1.24)
Belgium
Dender
Saint Truiden
2
1
24%
(3.36)
X
22%
(3.48)
2
54%
(2.04)
1X
46%
(1.7)
X2
76%
(1.28)
12
78%
(1.28)
Mexico
Tigres UANL
Pachuca
1
1
47%
(1.54)
X
30%
(4.11)
2
22%
(5.47)
1X
78%
(1.13)
X2
53%
(2.34)
12
70%
(1.2)
Montenegro
Jedinstvo Bijelo Polje
Decic Tuzi
2
1
22%
(4.25)
X
29%
(3.19)
2
49%
(1.77)
1X
51%
(1.88)
X2
78%
(1.17)
12
71%
(1.28)
England
Chelsea
Burnley
1
1
46%
(1.22)
X
31%
(7.08)
2
22%
(12.65)
1X
78%
(1.04)
X2
54%
(4.32)
12
69%
(1.1)
Venezuela
Rayo Zuliano
Academia Puerto Cabello
2
1
23%
(3.9)
X
27%
(3.1)
2
50%
(1.88)
1X
50%
(1.81)
X2
78%
(1.21)
12
73%
(1.26)
UAE
Al-Wasl Dubai
Al Bataeh Club
1
1
43%
(1.42)
X
35%
(4.26)
2
23%
(5.71)
1X
77%
(1.1)
X2
57%
(2.51)
12
66%
(1.15)
France
Saint Etienne
Lavallois
1
1
46%
(1.57)
X
31%
(3.87)
2
23%
(5.47)
1X
77%
(1.13)
X2
54%
(2.29)
12
69%
(1.23)
Scotland
Elgin City
Stirling Albion
1
1
46%
(1.69)
X
31%
(3.7)
2
23%
(4.2)
1X
77%
(1.18)
X2
54%
(1.96)
12
69%
(1.22)
Germany
Ingolstadt
Havelse
1
1
46%
(1.6)
X
31%
(4.13)
2
23%
(4.43)
1X
77%
(1.16)
X2
54%
(2.15)
12
69%
(1.18)
Japan
Tokyo Verdy
Machida Zelvia
2
1
23%
(3.85)
X
30%
(3.05)
2
47%
(2.03)
1X
53%
(1.71)
X2
77%
(1.22)
12
70%
(1.34)
San Marino
FC Fiorentino
AC Juvenes Dogana
2
1
24%
(3.84)
X
23%
(3.27)
2
53%
(1.81)
1X
47%
(1.82)
X2
76%
(1.2)
12
77%
(1.26)
England
Notts County
Tranmere Rovers
1
1
46%
(1.67)
X
31%
(3.75)
2
23%
(4.72)
1X
77%
(1.15)
X2
54%
(2.09)
12
69%
(1.23)
Northern Ireland
Cliftonville
Crusaders
1
1
53%
(1.57)
X
23%
(4.15)
2
24%
(4.5)
1X
76%
(1.15)
X2
47%
(2.21)
12
77%
(1.17)
England
Carlisle
Yeovil
1
1
46%
(1.52)
X
30%
(3.89)
2
23%
(5.16)
1X
77%
(1.12)
X2
54%
(2.31)
12
70%
(1.2)
Scotland
Stranraer
The Spartans
2
1
24%
(2.85)
X
26%
(3.3)
2
51%
(2.2)
1X
49%
(1.55)
X2
77%
(1.35)
12
74%
(1.27)
San Marino
SS Pennarossa
SS Folgore Falciano
2
1
24%
(9.03)
X
24%
(5.08)
2
53%
(1.24)
1X
48%
(3.34)
X2
76%
(1.05)
12
77%
(1.11)
Albania
Bylis Ballsh
Vllaznia Shkoder
2
1
24%
(4.6)
X
25%
(3.3)
2
52%
(1.72)
1X
49%
(1.95)
X2
76%
(1.13)
12
75%
(1.25)
England
Plymouth
Cardiff
2
1
24%
(2.94)
X
28%
(3.59)
2
48%
(2.19)
1X
52%
(1.62)
X2
76%
(1.36)
12
72%
(1.26)
Ukraine
Epitsentr Kamianets-Podilskyi
LNZ Cherkasy
2
1
25%
(4.36)
X
24%
(3.35)
2
52%
(1.8)
1X
48%
(1.95)
X2
76%
(1.19)
12
76%
(1.28)
Australia
Wellington Phoenix
Auckland FC
2
1
27%
(3.9)
X
24%
(3.73)
2
50%
(1.84)
1X
50%
(1.89)
X2
73%
(1.22)
12
76%
(1.24)
Italy
Cagliari
Lazio
2
1
24%
(3.4)
X
30%
(3.05)
2
46%
(2.35)
1X
54%
(1.59)
X2
76%
(1.3)
12
70%
(1.36)
Uruguay
Progreso Montevideo
Nacional Montevideo
2
1
24%
(6.19)
X
27%
(4.17)
2
49%
(1.45)
1X
51%
(2.5)
X2
76%
(1.1)
12
73%
(1.19)
Chile
O'Higgins Rancagua
Colo-Colo Santiago
2
1
24%
(3.7)
X
26%
(3.29)
2
50%
(1.94)
1X
50%
(1.77)
X2
76%
(1.23)
12
74%
(1.28)
Portugal
Maritimo
Sporting CP B
1
1
41%
(1.65)
X
35%
(3.5)
2
24%
(4.66)
1X
76%
(1.15)
X2
59%
(2.08)
12
65%
(1.25)
Germany
Ulm 1846
Saarbrucken
2
1
24%
(3.02)
X
27%
(3.46)
2
49%
(2.12)
1X
51%
(1.61)
X2
76%
(1.31)
12
73%
(1.25)
Scotland
Cove Rangers
Kelty Hearts
1
1
50%
(1.68)
X
25%
(3.67)
2
26%
(4.24)
1X
74%
(1.16)
X2
50%
(2.04)
12
75%
(1.23)
Mexico
Puebla
Club America Mexico
2
1
25%
(4.91)
X
29%
(3.57)
2
46%
(1.7)
1X
54%
(2.06)
X2
75%
(1.15)
12
71%
(1.26)
Denmark
Odense
FC Copenhagen
2
1
30%
(4.22)
X
25%
(3.92)
2
46%
(1.72)
1X
54%
(2.04)
X2
70%
(1.19)
12
75%
(1.23)
Israel
Bnei Sakhnin
Hapoel Tel Aviv
2
1
28%
(5.08)
X
25%
(3.69)
2
47%
(1.58)
1X
53%
(2.2)
X2
72%
(1.11)
12
75%
(1.23)
England
Brackley Town
Southend
2
1
25%
(4.31)
X
27%
(3.53)
2
49%
(1.7)
1X
52%
(2)
X2
75%
(1.15)
12
74%
(1.24)
England
Bristol Rovers
Grimsby
2
1
25%
(3.02)
X
28%
(3.32)
2
47%
(2.25)
1X
53%
(1.59)
X2
75%
(1.34)
12
72%
(1.28)
Mexico
Atlante
Alebrijes de Oaxaca
1
1
43%
(1.32)
X
32%
(4.58)
2
25%
(7.74)
1X
75%
(1.05)
X2
57%
(2.97)
12
68%
(1.15)
England
Crawley
Chesterfield
2
1
33%
(2.96)
X
25%
(3.49)
2
42%
(2.19)
1X
58%
(1.61)
X2
67%
(1.35)
12
75%
(1.27)
England
Newport County
Cambridge United
2
1
25%
(5.44)
X
31%
(3.73)
2
44%
(1.6)
1X
56%
(2.23)
X2
75%
(1.12)
12
69%
(1.24)
Germany
Alemannia Aachen
Verl
2
1
25%
(3.33)
X
26%
(3.66)
2
49%
(1.93)
1X
51%
(1.74)
X2
75%
(1.27)
12
74%
(1.23)
Japan
SC Sagamihara
Blaublitz Akita
2
1
26%
(4.48)
X
25%
(3.5)
2
48%
(1.68)
1X
52%
(2)
X2
74%
(1.15)
12
75%
(1.24)
Australia
Sydney FC
Brisbane Roar
1
1
42%
(1.7)
X
33%
(3.94)
2
26%
(4.5)
1X
75%
(1.18)
X2
58%
(2.07)
12
67%
(1.22)
Portugal
Oliveirense
Uniao Leiria
2
1
29%
(2.95)
X
26%
(3.16)
2
45%
(2.2)
1X
55%
(1.57)
X2
71%
(1.32)
12
74%
(1.29)
Poland
Legia Warszawa
Wisla Plock
1
1
43%
(1.7)
X
31%
(3.59)
2
26%
(4.76)
1X
74%
(1.16)
X2
57%
(2.05)
12
69%
(1.26)
Venezuela
Zamora Barinas
Deportivo La Guaira
2
1
26%
(3.65)
X
30%
(3.03)
2
44%
(1.99)
1X
56%
(1.68)
X2
74%
(1.2)
12
71%
(1.29)
Italy
Lecce
Inter
2
1
27%
(7.28)
X
27%
(4.16)
2
47%
(1.5)
1X
53%
(2.61)
X2
74%
(1.09)
12
73%
(1.21)
Belgium
Seraing
Kortrijk
2
1
27%
(4.91)
X
30%
(3.79)
2
43%
(1.57)
1X
57%
(2.2)
X2
73%
(1.13)
12
70%
(1.22)
Mexico
Dorados de Sinaloa
Atletico Morelia
2
1
29%
(3.73)
X
27%
(3.57)
2
44%
(1.8)
1X
56%
(1.87)
X2
71%
(1.21)
12
73%
(1.24)
Japan
Shimizu S-Pulse
Vissel Kobe
2
1
29%
(4.61)
X
27%
(3.61)
2
44%
(1.71)
1X
56%
(2.01)
X2
72%
(1.16)
12
73%
(1.26)
Netherlands
Ajax Amsterdam
NEC Nijmegen
1
1
43%
(1.76)
X
29%
(4.18)
2
28%
(4.01)
1X
72%
(1.23)
X2
57%
(2)
12
71%
(1.22)
Ecuador
Orense SC
LDU de Quito
2
1
31%
(3.12)
X
28%
(3.06)
2
42%
(2.23)
1X
58%
(1.58)
X2
69%
(1.32)
12
72%
(1.31)
Scotland
Clyde
Edinburgh City
1
1
39%
(1.64)
X
33%
(3.73)
2
28%
(4.44)
1X
72%
(1.16)
X2
61%
(2.05)
12
67%
(1.22)
England
Wycombe
Stevenage
1
1
39%
(1.92)
X
32%
(3.23)
2
30%
(4.13)
1X
70%
(1.2)
X2
61%
(1.8)
12
69%
(1.3)
England
Solihull Moors
Hartlepool
1
1
39%
(2.04)
X
30%
(3.35)
2
31%
(3.13)
1X
69%
(1.29)
X2
61%
(1.67)
12
70%
(1.27)
Czech Republic
Jablonec
Karvina
1
1
37%
(2)
X
31%
(3.46)
2
33%
(3.39)
1X
67%
(1.28)
X2
63%
(1.74)
12
69%
(1.27)
Poland
Rakow Czestochowa
Termalica Nieciecza
1
1
38%
(1.51)
X
31%
(4.17)
2
31%
(5.62)
1X
69%
(1.11)
X2
62%
(2.42)
12
69%
(1.2)
Spain
Unionistas de Salamanca
Arenas Club de Getxo
1
1
36%
(1.88)
X
34%
(3.11)
2
31%
(3.9)
1X
69%
(1.17)
X2
65%
(1.78)
12
66%
(1.3)
Italy
Triestina
Cittadella
2
1
31%
(3.01)
X
31%
(3.16)
2
38%
(2.15)
1X
62%
(1.59)
X2
69%
(1.27)
12
69%
(1.27)
England
Altrincham
Braintree
1
1
34%
(1.76)
X
33%
(3.56)
2
33%
(3.9)
1X
67%
(1.19)
X2
66%
(1.93)
12
67%
(1.24)
Turkey
Boluspor
Istanbulspor
1
1
34%
(1.91)
X
33%
(3.54)
2
33%
(3.32)
1X
67%
(1.26)
X2
66%
(1.73)
12
67%
(1.22)


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.