Updated on November 30, 2025 Shows outcome probability of each result ( ) Displays the average odds for the bet
Turkey
Bodrum FK
Corum
1
1
71%
(1.7)
X
21%
(3.43)
2
8%
(4.41)
1X
92%
(1.16)
X2
29%
(1.97)
12
79%
(1.24)
France
Strasbourg
Brest
1
1
67%
(1.79)
X
24%
(3.82)
2
9%
(4.39)
1X
91%
(1.19)
X2
33%
(2)
12
76%
(1.25)
Greece
Iraklis Thessaloniki
Kampaniakos
1
1
66%
(1.04)
X
23%
(12.05)
2
11%
(32.5)
1X
89%
(1)
X2
34%
(8.08)
12
77%
(1.03)
Norway
Bodo Glimt
Fredrikstad
1
1
69%
(1.11)
X
20%
(9.33)
2
11%
(17.67)
1X
89%
(1.01)
X2
31%
(6.03)
12
80%
(1.06)
Armenia
Ararat-Armenia
Shirak
1
1
69%
(1.18)
X
20%
(5.95)
2
12%
(11.8)
1X
89%
(1.02)
X2
31%
(4.22)
12
80%
(1.08)
Portugal
Sporting CP
Estrela da Amadora
1
1
64%
(1.13)
X
24%
(8.48)
2
12%
(20.25)
1X
88%
(1.01)
X2
36%
(5.82)
12
76%
(1.07)
Bosnia and Herzegovina
Borac Banja Luka
Zeljeznicar Sarajevo
1
1
63%
(1.38)
X
25%
(4.04)
2
13%
(7.3)
1X
87%
(1.05)
X2
37%
(2.59)
12
76%
(1.19)
Andorra
FC Ranger's
Esperanca d'Andorra
1
1
61%
(1.04)
X
25%
(10.78)
2
13%
(25.75)
1X
87%
(1.01)
X2
39%
(6.58)
12
75%
(1.03)
Andorra
Atletic Club d'Escaldes
FC Ordino
1
1
62%
(1.42)
X
25%
(4.23)
2
14%
(5.88)
1X
87%
(1.07)
X2
38%
(2.42)
12
75%
(1.14)
Armenia
Pyunik
Ararat
1
1
64%
(1.16)
X
22%
(6.15)
2
14%
(12.24)
1X
86%
(1.02)
X2
36%
(4.16)
12
78%
(1.07)
Moldova
FC Balti
Milsami Orhei
2
1
14%
(3.53)
X
16%
(3.33)
2
70%
(1.9)
1X
30%
(1.73)
X2
86%
(1.22)
12
84%
(1.25)
Luxembourg
US Mondorf-les-Bains
Victoria Rosport
1
1
60%
(1.52)
X
26%
(4.22)
2
14%
(4.67)
1X
86%
(1.14)
X2
41%
(2.22)
12
74%
(1.16)
Georgia
Samgurali Tskhaltubo
Dinamo Batumi
1
1
62%
(1.8)
X
24%
(3.21)
2
14%
(4.11)
1X
86%
(1.18)
X2
38%
(1.78)
12
76%
(1.29)
Turkey
Fatih Karagumruk
Besiktas
2
1
15%
(4.54)
X
16%
(3.99)
2
69%
(1.68)
1X
31%
(2.1)
X2
85%
(1.19)
12
84%
(1.23)
San Marino
SP Cailungo
SS Cosmos
2
1
17%
(8.83)
X
15%
(4.92)
2
67%
(1.26)
1X
33%
(3.34)
X2
83%
(1.04)
12
85%
(1.12)
Taiwan
Hang Yuen
Ming Chuan University
1
1
57%
(1.33)
X
28%
(4.98)
2
15%
(6.64)
1X
85%
(1.09)
X2
43%
(2.93)
12
72%
(1.12)
Russia
Zenit Sankt Peterburg
Rubin Kazan
1
1
58%
(1.34)
X
27%
(5.07)
2
15%
(10.6)
1X
85%
(1.06)
X2
42%
(3.26)
12
73%
(1.18)
Bosnia and Herzegovina
Zrinjski Mostar
Posusje
1
1
55%
(1.14)
X
30%
(5.98)
2
16%
(14.1)
1X
84%
(1.02)
X2
45%
(4.26)
12
71%
(1.08)
Cyprus
AEL Limassol
Apollon Limassol
2
1
19%
(3.36)
X
16%
(3.14)
2
65%
(2.03)
1X
35%
(1.65)
X2
81%
(1.26)
12
84%
(1.29)
Luxembourg
F91 Dudelange
Union Titus Petange
1
1
55%
(1.37)
X
29%
(4.64)
2
16%
(6.06)
1X
84%
(1.08)
X2
45%
(2.66)
12
71%
(1.13)
Bulgaria
CSKA Sofia II
Spartak Pleven
1
1
52%
(1.21)
X
31%
(4.88)
2
16%
(11.13)
1X
84%
(1.03)
X2
48%
(3.26)
12
69%
(1.1)
Greece
Panetolikos
Olympiacos Piraeus
2
1
17%
(10.34)
X
17%
(5.53)
2
66%
(1.25)
1X
34%
(3.72)
X2
83%
(1.04)
12
83%
(1.13)
Israel
M.S. Ashdod
Maccabi Tel Aviv
2
1
17%
(7.48)
X
22%
(4.93)
2
61%
(1.31)
1X
39%
(3.05)
X2
83%
(1.06)
12
78%
(1.14)
Norway
Viking Stavanger
Valerenga Oslo
1
1
62%
(1.23)
X
21%
(6.67)
2
17%
(9.04)
1X
83%
(1.06)
X2
38%
(3.82)
12
79%
(1.09)
Moldova
Dacia Buiucani
Sheriff Tiraspol
2
1
17%
(8.45)
X
18%
(4.32)
2
65%
(1.31)
1X
35%
(2.89)
X2
83%
(1.04)
12
82%
(1.14)
Uzbekistan
AGMK Olmaliq
Mash'al Mubarek
1
1
53%
(1.62)
X
30%
(3.54)
2
17%
(4.96)
1X
83%
(1.12)
X2
47%
(2.15)
12
70%
(1.25)
Moldova
Zimbru Chisinau
Politechnica UTM Chisinau
1
1
59%
(1.26)
X
24%
(5.83)
2
17%
(7.2)
1X
83%
(1.02)
X2
41%
(3.35)
12
76%
(1.07)
Uzbekistan
Xorazm Urganch
Neftchi Fergana
2
1
17%
(5.78)
X
19%
(3.86)
2
64%
(1.49)
1X
36%
(2.36)
X2
83%
(1.1)
12
81%
(1.21)
Andorra
UE Santa Coloma
CE Carroi
1
1
49%
(1.03)
X
34%
(13.25)
2
17%
(35.75)
1X
83%
(1.01)
X2
51%
(6.75)
12
66%
(1.02)
Greece
Panargiakos
Panionios
2
1
17%
(15.2)
X
22%
(5.14)
2
61%
(1.19)
1X
39%
(3.47)
X2
83%
(1.03)
12
78%
(1.13)
Czech Republic
Viktoria Plzen
Mlada Boleslav
1
1
44%
(1.31)
X
39%
(5.33)
2
18%
(8.06)
1X
82%
(1.06)
X2
57%
(3.27)
12
61%
(1.13)
Italy
Arezzo
Sambenedettese
1
1
50%
(1.43)
X
33%
(3.8)
2
18%
(6.73)
1X
82%
(1.06)
X2
50%
(2.46)
12
67%
(1.2)
Denmark
FC Midtjylland
FC Nordsjaelland
1
1
55%
(1.69)
X
27%
(4.09)
2
18%
(4.25)
1X
82%
(1.2)
X2
45%
(2.07)
12
73%
(1.21)
Belgium
Club Brugge
Royal Antwerp
1
1
50%
(1.33)
X
33%
(5.05)
2
18%
(8.63)
1X
82%
(1.06)
X2
50%
(3.24)
12
68%
(1.15)
Ukraine
Polissya Zhytomyr
Zarya Lugansk
1
1
43%
(1.77)
X
39%
(3.41)
2
18%
(4.54)
1X
82%
(1.18)
X2
57%
(1.99)
12
61%
(1.29)
England
Aston Villa
Wolverhampton
1
1
48%
(1.5)
X
34%
(4.42)
2
18%
(6.58)
1X
82%
(1.11)
X2
52%
(2.56)
12
66%
(1.2)
Russia
FK Krasnodar
Krylya Sovetov Samara
1
1
48%
(1.31)
X
34%
(5.47)
2
18%
(10.95)
1X
82%
(1.05)
X2
52%
(3.6)
12
66%
(1.16)
Belgium
Anderlecht
Union Saint-Gilloise
2
1
18%
(3.02)
X
22%
(3.36)
2
60%
(2.29)
1X
40%
(1.6)
X2
82%
(1.36)
12
78%
(1.3)
Costa Rica
Deportivo Saprissa
Municipal Liberia
1
1
47%
(1.49)
X
35%
(3.83)
2
18%
(5.67)
1X
82%
(1.09)
X2
53%
(2.38)
12
65%
(1.21)
Portugal
Porto
Estoril Praia
1
1
52%
(1.22)
X
30%
(6.25)
2
18%
(12.98)
1X
82%
(1.03)
X2
48%
(4.13)
12
70%
(1.11)
France
Lyonnais
Nantes
1
1
54%
(1.42)
X
28%
(4.71)
2
19%
(7.53)
1X
82%
(1.08)
X2
46%
(2.81)
12
72%
(1.18)
Guatemala
Coban Imperial
Deportivo Mictlan
1
1
49%
(1.5)
X
33%
(3.64)
2
19%
(5.73)
1X
82%
(1.09)
X2
51%
(2.28)
12
67%
(1.21)
Italy
Atalanta U23
Siracusa
1
1
51%
(1.76)
X
31%
(3.49)
2
19%
(3.92)
1X
81%
(1.17)
X2
49%
(1.88)
12
70%
(1.22)
Japan
Vissel Kobe
FC Tokyo
1
1
49%
(1.63)
X
33%
(3.84)
2
19%
(5.02)
1X
81%
(1.15)
X2
52%
(2.19)
12
67%
(1.24)
Austria
TSV Hartberg
Sturm Graz
2
1
19%
(4.18)
X
21%
(3.7)
2
60%
(1.78)
1X
40%
(1.96)
X2
81%
(1.2)
12
79%
(1.25)
Switzerland
Yverdon-Sport
Etoile Carouge
1
1
51%
(1.51)
X
30%
(3.98)
2
19%
(5.25)
1X
81%
(1.11)
X2
49%
(2.34)
12
70%
(1.18)
Thailand
Buriram United
Ratchaburi FC
1
1
49%
(1.36)
X
32%
(4.42)
2
19%
(6.52)
1X
81%
(1.07)
X2
51%
(2.65)
12
68%
(1.15)
Slovenia
NK Domzale
Bravo Ljubljana
2
1
19%
(3.89)
X
21%
(3.58)
2
60%
(1.77)
1X
40%
(1.87)
X2
81%
(1.19)
12
79%
(1.23)
Luxembourg
Differdange FC
Progres Niedercorn
1
1
50%
(1.55)
X
31%
(3.73)
2
19%
(5.13)
1X
81%
(1.12)
X2
50%
(2.15)
12
69%
(1.2)
Georgia
Kolkheti-1913 Poti
Dila Gori
2
1
20%
(9.13)
X
22%
(4.68)
2
58%
(1.29)
1X
42%
(3.17)
X2
80%
(1.05)
12
78%
(1.14)
Andorra
Penya Encarnada
FC Santa Coloma
2
1
20%
(8.09)
X
26%
(4.26)
2
54%
(1.32)
1X
46%
(2.76)
X2
80%
(1.04)
12
74%
(1.14)
Guatemala
Comunicaciones
Xelaju MC
1
1
44%
(1.61)
X
36%
(3.43)
2
20%
(5)
1X
80%
(1.11)
X2
56%
(2.08)
12
64%
(1.24)
Czech Republic
Sparta Prague
FK Pardubice
1
1
43%
(1.17)
X
37%
(6.41)
2
20%
(13.95)
1X
80%
(1.03)
X2
57%
(4.54)
12
64%
(1.1)
Switzerland
Basel
St. Gallen
1
1
49%
(1.57)
X
31%
(4.29)
2
20%
(4.96)
1X
80%
(1.15)
X2
51%
(2.32)
12
69%
(1.19)
Georgia
Gareji Sagarejo
Iberia 1999 Tbilisi
2
1
20%
(5.53)
X
23%
(3.89)
2
56%
(1.49)
1X
44%
(2.33)
X2
80%
(1.1)
12
77%
(1.2)
Spain
Real Murcia
Alcorcon
1
1
42%
(1.78)
X
38%
(3.1)
2
20%
(4.48)
1X
80%
(1.16)
X2
58%
(1.87)
12
62%
(1.27)
Czech Republic
Bohemians 1905 Prague
Teplice
1
1
41%
(1.79)
X
39%
(3.46)
2
21%
(4.29)
1X
80%
(1.19)
X2
59%
(1.93)
12
61%
(1.27)
Netherlands
Ajax Amsterdam
FC Groningen
1
1
56%
(1.77)
X
23%
(3.89)
2
21%
(4.25)
1X
79%
(1.2)
X2
44%
(2)
12
77%
(1.24)
Japan
Albirex Niigata
Kashiwa Reysol
2
1
21%
(5.65)
X
23%
(4.28)
2
56%
(1.52)
1X
44%
(2.41)
X2
79%
(1.12)
12
77%
(1.2)
Poland
Wisla Krakow
Stal Mielec
1
1
53%
(1.23)
X
27%
(5.69)
2
21%
(9.23)
1X
79%
(1.04)
X2
48%
(3.58)
12
73%
(1.09)
Indonesia
Borneo Samarinda
Bali United
1
1
44%
(1.53)
X
35%
(3.75)
2
21%
(5.07)
1X
79%
(1.11)
X2
56%
(2.23)
12
65%
(1.2)
Guatemala
Antigua GFC
Deportivo Malacateco
1
1
46%
(1.4)
X
33%
(4.01)
2
21%
(6.71)
1X
79%
(1.07)
X2
54%
(2.54)
12
67%
(1.18)
Poland
Wisla Plock
Lech Poznan
2
1
21%
(3.03)
X
25%
(3.45)
2
54%
(2.19)
1X
46%
(1.62)
X2
79%
(1.34)
12
75%
(1.28)
Bulgaria
Levski Sofia
Septemvri Sofia
1
1
47%
(1.12)
X
32%
(7.33)
2
21%
(16.83)
1X
79%
(1.02)
X2
53%
(5.19)
12
68%
(1.08)
Italy
Atalanta
Fiorentina
1
1
43%
(1.68)
X
36%
(3.9)
2
21%
(5.1)
1X
79%
(1.16)
X2
57%
(2.18)
12
64%
(1.24)
Norway
Brann Bergen
Hamarkameratene
1
1
50%
(1.29)
X
29%
(5.82)
2
21%
(8.23)
1X
79%
(1.06)
X2
50%
(3.42)
12
71%
(1.12)
Italy
Foggia
Cosenza
2
1
21%
(4.93)
X
26%
(3.41)
2
53%
(1.62)
1X
47%
(2.09)
X2
79%
(1.1)
12
74%
(1.24)
Greece
Levadiakos
PAOK Thessaloniki
2
1
21%
(4.05)
X
27%
(3.53)
2
52%
(1.84)
1X
48%
(1.89)
X2
79%
(1.21)
12
73%
(1.27)
Slovenia
NK Celje
FC Koper
1
1
45%
(1.5)
X
34%
(4.16)
2
22%
(5.08)
1X
79%
(1.1)
X2
55%
(2.34)
12
66%
(1.18)
Belarus
FC Molodechno
Torpedo-BelAZ Zhodino
2
1
25%
(9.38)
X
22%
(4.55)
2
53%
(1.3)
1X
47%
(3.17)
X2
75%
(1.04)
12
78%
(1.17)
Ukraine
Nyva Ternopil
Inhulets Petrove
2
1
22%
(3.8)
X
26%
(3.28)
2
52%
(1.87)
1X
48%
(1.71)
X2
78%
(1.23)
12
74%
(1.28)
Italy
Latina
Audace Cerignola
2
1
22%
(3.06)
X
24%
(2.99)
2
55%
(2.2)
1X
45%
(1.54)
X2
78%
(1.27)
12
76%
(1.3)
England
Chelsea
Arsenal
2
1
23%
(3.38)
X
22%
(3.26)
2
56%
(2.28)
1X
44%
(1.62)
X2
77%
(1.31)
12
78%
(1.34)
Belgium
Genk
Oud-Heverlee Leuven
1
1
48%
(1.55)
X
30%
(4.18)
2
22%
(5.41)
1X
78%
(1.14)
X2
52%
(2.36)
12
70%
(1.21)
Netherlands
MVV Maastricht
Roda JC Kerkrade
2
1
22%
(3.83)
X
25%
(3.89)
2
54%
(1.78)
1X
46%
(1.94)
X2
78%
(1.23)
12
76%
(1.22)
San Marino
AC Libertas
FC Fiorentino
2
1
22%
(3.35)
X
23%
(3.22)
2
55%
(1.97)
1X
45%
(1.67)
X2
78%
(1.26)
12
77%
(1.27)
Japan
Machida Zelvia
Nagoya Grampus
1
1
43%
(1.7)
X
36%
(3.59)
2
22%
(4.89)
1X
78%
(1.15)
X2
58%
(2.06)
12
64%
(1.27)
Norway
Rosenborg
Stromsgodset
1
1
46%
(1.46)
X
32%
(4.84)
2
22%
(5.52)
1X
78%
(1.13)
X2
54%
(2.6)
12
68%
(1.16)
Italy
LR Vicenza
Lecco
1
1
45%
(1.45)
X
33%
(3.64)
2
22%
(6.63)
1X
78%
(1.06)
X2
55%
(2.39)
12
67%
(1.21)
Turkey
Antalyaspor
Goztepe
2
1
22%
(3.9)
X
27%
(3.31)
2
51%
(1.98)
1X
49%
(1.79)
X2
78%
(1.24)
12
73%
(1.32)
Indonesia
Madura United
Persib Bandung
2
1
22%
(6.3)
X
28%
(4.14)
2
50%
(1.4)
1X
50%
(2.56)
X2
78%
(1.07)
12
73%
(1.17)
Moldova
Spartanii Sportul
Petrocub-Hincesti
2
1
22%
(34)
X
22%
(10.33)
2
56%
(1.04)
1X
45%
(6.45)
X2
78%
(1)
12
78%
(1.02)
Spain
Girona
Real Madrid
2
1
24%
(6.2)
X
22%
(4.99)
2
54%
(1.46)
1X
46%
(2.7)
X2
76%
(1.11)
12
78%
(1.17)
San Marino
SC Faetano
SS San Giovanni
2
1
23%
(3.12)
X
24%
(3.33)
2
53%
(2.01)
1X
47%
(1.66)
X2
77%
(1.3)
12
76%
(1.25)
Austria
Schwarz-Weiss Bregenz
First Vienna FC 1894
2
1
26%
(3.15)
X
23%
(3.4)
2
52%
(2.08)
1X
49%
(1.65)
X2
74%
(1.29)
12
77%
(1.26)
Bulgaria
Slavia Sofia
Dobrudzha Dobrich
1
1
47%
(1.52)
X
31%
(3.87)
2
23%
(5.89)
1X
77%
(1.11)
X2
54%
(2.35)
12
69%
(1.21)
Norway
Kristiansund
Tromso
2
1
23%
(5.84)
X
26%
(4.42)
2
51%
(1.49)
1X
49%
(2.51)
X2
77%
(1.12)
12
74%
(1.19)
Netherlands
PSV Eindhoven
FC Volendam
1
1
51%
(1.1)
X
27%
(11.48)
2
23%
(19.42)
1X
77%
(1.01)
X2
50%
(7.16)
12
73%
(1.04)
Hungary
Puskas Academy
Ferencvarosi
2
1
23%
(3.47)
X
24%
(3.43)
2
53%
(1.96)
1X
47%
(1.74)
X2
77%
(1.26)
12
76%
(1.26)
Poland
Znicz Pruszkow
LKS Lodz
2
1
28%
(3.26)
X
23%
(3.37)
2
49%
(1.99)
1X
51%
(1.67)
X2
72%
(1.27)
12
77%
(1.27)
Israel
Beitar Jerusalem
Maccabi Netanya
1
1
49%
(1.67)
X
28%
(3.93)
2
23%
(4.01)
1X
77%
(1.18)
X2
51%
(2.04)
12
72%
(1.2)
Serbia
OFK Belgrade
Crvena zvezda Belgrade
2
1
23%
(9.65)
X
27%
(6.64)
2
49%
(1.18)
1X
51%
(3.95)
X2
77%
(1.04)
12
73%
(1.08)
England
West Ham
Liverpool
2
1
27%
(4.5)
X
24%
(4.25)
2
50%
(1.7)
1X
51%
(2.12)
X2
73%
(1.2)
12
77%
(1.21)
Slovakia
Slovan Bratislava
MFK Zemplin Michalovce
1
1
45%
(1.34)
X
31%
(4.98)
2
24%
(6.77)
1X
76%
(1.06)
X2
55%
(3.02)
12
69%
(1.13)
Bolivia
Nacional Potosi
Independiente Petrolero
1
1
51%
(1.39)
X
24%
(4.52)
2
25%
(6.06)
1X
75%
(1.09)
X2
49%
(2.67)
12
76%
(1.15)
Austria
Rheindorf Altach
Red Bull Salzburg
2
1
24%
(3.47)
X
24%
(3.53)
2
52%
(1.99)
1X
48%
(1.76)
X2
76%
(1.28)
12
76%
(1.27)
Romania
Farul Constanta
FC FCSB
2
1
34%
(3.59)
X
24%
(3.44)
2
42%
(1.95)
1X
58%
(1.75)
X2
66%
(1.25)
12
76%
(1.28)
France
Le Havre
Lille
2
1
24%
(4.34)
X
25%
(3.68)
2
51%
(1.84)
1X
49%
(1.94)
X2
76%
(1.2)
12
75%
(1.27)
Australia
Auckland FC
Newcastle United Jets
1
1
44%
(1.66)
X
32%
(4.33)
2
25%
(4.31)
1X
76%
(1.2)
X2
56%
(2.12)
12
68%
(1.19)
Spain
Ibiza
Algeciras CF
1
1
38%
(1.64)
X
37%
(3.36)
2
25%
(5.11)
1X
76%
(1.12)
X2
62%
(2.07)
12
63%
(1.23)
Germany
Hamburger
Stuttgart
2
1
25%
(3.15)
X
25%
(3.76)
2
50%
(2.17)
1X
51%
(1.68)
X2
75%
(1.36)
12
75%
(1.27)
Germany
Jahn Regensburg
Hansa Rostock
2
1
25%
(3.4)
X
25%
(3.51)
2
50%
(1.96)
1X
51%
(1.72)
X2
75%
(1.26)
12
75%
(1.24)
Bolivia
Aurora Cochabamba
Jorge Wilstermann
1
1
44%
(1.73)
X
26%
(3.67)
2
30%
(4.02)
1X
70%
(1.2)
X2
56%
(1.95)
12
75%
(1.23)
Italy
Rimini
Torres
2
1
26%
(2.95)
X
26%
(3.05)
2
48%
(2.22)
1X
52%
(1.55)
X2
74%
(1.3)
12
74%
(1.29)
Portugal
Portimonense
Maritimo
2
1
26%
(3.19)
X
26%
(3.25)
2
49%
(2.05)
1X
52%
(1.66)
X2
74%
(1.28)
12
74%
(1.28)
Bulgaria
Ludogorets Razgrad
Botev Vratsa
1
1
45%
(1.19)
X
29%
(5.65)
2
26%
(14.08)
1X
74%
(1.02)
X2
55%
(4.06)
12
71%
(1.11)
Poland
Zaglebie Lubin
Jagiellonia Bialystok
2
1
26%
(2.9)
X
31%
(3.51)
2
43%
(2.24)
1X
57%
(1.6)
X2
74%
(1.36)
12
69%
(1.27)
Netherlands
De Graafschap
FC Eindhoven
1
1
47%
(1.42)
X
27%
(4.65)
2
27%
(6.11)
1X
73%
(1.1)
X2
54%
(2.65)
12
73%
(1.16)
Scotland
Hibernian
Celtic
2
1
27%
(4.34)
X
27%
(4)
2
46%
(1.69)
1X
54%
(2.06)
X2
73%
(1.19)
12
73%
(1.22)
France
Angers
Lens
2
1
27%
(4.81)
X
28%
(3.82)
2
45%
(1.73)
1X
55%
(2.09)
X2
73%
(1.17)
12
72%
(1.26)
Japan
Tokyo Verdy
Kashima Antlers
2
1
28%
(4.59)
X
28%
(3.27)
2
45%
(1.82)
1X
56%
(1.9)
X2
73%
(1.17)
12
72%
(1.31)
Croatia
Lokomotiva Zagreb
HNK Rijeka
2
1
28%
(3.1)
X
30%
(3.21)
2
43%
(2.16)
1X
57%
(1.6)
X2
72%
(1.32)
12
70%
(1.3)
Poland
Arka Gdynia
Rakow Czestochowa
2
1
30%
(4.36)
X
28%
(3.37)
2
43%
(1.82)
1X
57%
(1.89)
X2
70%
(1.17)
12
72%
(1.29)
Romania
Unirea Slobozia
FC Botosani
2
1
28%
(3.5)
X
30%
(3.3)
2
43%
(2)
1X
57%
(1.72)
X2
72%
(1.26)
12
70%
(1.29)
Uzbekistan
Buxoro FK
Surkhon Termez
1
1
38%
(2.89)
X
34%
(2.99)
2
28%
(2.36)
1X
72%
(1.5)
X2
62%
(1.35)
12
66%
(1.33)
Italy
Juve Stabia
Monza
2
1
28%
(3.38)
X
28%
(2.88)
2
43%
(2.31)
1X
57%
(1.57)
X2
72%
(1.28)
12
72%
(1.39)
Japan
Kawasaki Frontale
Sanfrecce Hiroshima
2
1
32%
(2.96)
X
29%
(3.61)
2
39%
(2.18)
1X
61%
(1.62)
X2
68%
(1.36)
12
71%
(1.27)
Thailand
Sukhothai FC
Bangkok United
2
1
31%
(3.64)
X
29%
(3.63)
2
40%
(1.77)
1X
60%
(1.86)
X2
69%
(1.22)
12
71%
(1.21)
Germany
Arminia Bielefeld
Preussen Munster
1
1
36%
(1.83)
X
30%
(3.71)
2
34%
(3.97)
1X
66%
(1.22)
X2
64%
(1.92)
12
70%
(1.25)
Bolivia
Oriente Petrolero
Blooming Santa Cruz
1
1
37%
(2.33)
X
33%
(3.48)
2
30%
(2.57)
1X
70%
(1.43)
X2
63%
(1.51)
12
67%
(1.25)


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.