Updated on February 15, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Luxembourg
UNA Strassen
Victoria Rosport
1
1
70%
(1.23)
X
20%
(5.36)
2
10%
(9.11)
1X
90%
(1.04)
X2
30%
(3.48)
12
80%
(1.1)
Portugal
Sporting CP
Famalicao
1
1
66%
(1.34)
X
23%
(5.01)
2
11%
(8.51)
1X
89%
(1.06)
X2
34%
(3.16)
12
77%
(1.15)
Bulgaria
Dunav Ruse
Spartak Pleven
1
1
64%
(1.1)
X
25%
(6.85)
2
11%
(18.5)
1X
89%
(1.01)
X2
36%
(5.12)
12
75%
(1.05)
San Marino
SP Tre Penne
SS Cosmos
1
1
60%
(1.34)
X
28%
(4.23)
2
12%
(7.68)
1X
88%
(1.04)
X2
40%
(2.82)
12
72%
(1.16)
Turkey
Amed SFK
Sakaryaspor
1
1
63%
(1.2)
X
25%
(5.78)
2
13%
(10.24)
1X
87%
(1.04)
X2
37%
(3.85)
12
75%
(1.09)
Azerbaijan
Kapaz Ganja
Neftchi Baku
2
1
13%
(4.76)
X
15%
(3.37)
2
72%
(1.64)
1X
28%
(2.01)
X2
87%
(1.13)
12
85%
(1.24)
Germany
RB Leipzig
Wolfsburg
1
1
68%
(1.49)
X
19%
(4.78)
2
13%
(5.98)
1X
87%
(1.13)
X2
32%
(2.61)
12
81%
(1.17)
San Marino
SS Virtus
FC Fiorentino
1
1
63%
(1.18)
X
23%
(5.73)
2
14%
(11.57)
1X
87%
(1.04)
X2
37%
(4.05)
12
77%
(1.08)
Scotland
Motherwell
Aberdeen
1
1
63%
(1.6)
X
24%
(3.96)
2
14%
(5.15)
1X
86%
(1.15)
X2
38%
(2.26)
12
76%
(1.22)
Tunisia
Club Africain Tunis
JS El Omrane
1
1
55%
(1.19)
X
31%
(5.09)
2
14%
(14.75)
1X
86%
(1.03)
X2
45%
(3.66)
12
69%
(1.14)
Japan
Kashiwa Reysol
Tokyo Verdy
1
1
56%
(1.46)
X
30%
(4.06)
2
14%
(6.57)
1X
86%
(1.09)
X2
44%
(2.55)
12
70%
(1.21)
Bulgaria
Levski Sofia
Botev Plovdiv
1
1
60%
(1.28)
X
26%
(5.13)
2
14%
(9.39)
1X
86%
(1.04)
X2
40%
(3.37)
12
74%
(1.14)
Greece
Panathinaikos
AEL Larissa
1
1
57%
(1.31)
X
29%
(4.72)
2
14%
(10.13)
1X
86%
(1.04)
X2
43%
(3.21)
12
71%
(1.17)
Italy
Lecco
Virtus Verona
1
1
54%
(1.63)
X
32%
(3.44)
2
14%
(4.85)
1X
86%
(1.1)
X2
46%
(2.08)
12
68%
(1.23)
Cyprus
Ethnikos Achna
APOEL Nicosia
2
1
16%
(4.12)
X
21%
(3.43)
2
63%
(1.75)
1X
37%
(1.91)
X2
84%
(1.18)
12
79%
(1.25)
Honduras
Real Espana
Deportivo Choloma
1
1
52%
(1.3)
X
32%
(4.69)
2
16%
(7.98)
1X
84%
(1.04)
X2
48%
(3.06)
12
68%
(1.13)
Tunisia
US Monastir
ES Zarzis
1
1
47%
(1.79)
X
37%
(2.94)
2
17%
(4.93)
1X
83%
(1.14)
X2
53%
(1.84)
12
63%
(1.34)
Argentina
Atletico Guemes
Nueva Chicago
1
1
47%
(1.83)
X
36%
(2.89)
2
17%
(4.94)
1X
83%
(1.14)
X2
53%
(1.88)
12
64%
(1.34)
Poland
Pogon Szczecin
Arka Gdynia
1
1
60%
(1.66)
X
23%
(3.87)
2
17%
(4.64)
1X
83%
(1.16)
X2
40%
(2.12)
12
77%
(1.23)
Italy
Monza
Juve Stabia
1
1
54%
(1.71)
X
29%
(3.44)
2
17%
(4.97)
1X
83%
(1.14)
X2
46%
(2.07)
12
71%
(1.29)
Slovakia
KFC Komarno
DAC Dunajska Streda
2
1
17%
(4.33)
X
18%
(3.56)
2
65%
(1.73)
1X
35%
(2)
X2
83%
(1.16)
12
82%
(1.27)
England
Stoke
Fulham
2
1
18%
(4.6)
X
17%
(3.79)
2
65%
(1.7)
1X
35%
(2.08)
X2
82%
(1.17)
12
83%
(1.25)
Bulgaria
Chernomorets Burgas
Minyor Pernik
1
1
48%
(1.56)
X
35%
(3.45)
2
17%
(5.7)
1X
83%
(1.08)
X2
52%
(2.16)
12
65%
(1.21)
Turkey
Goztepe
Kayserispor
1
1
51%
(1.62)
X
32%
(3.82)
2
17%
(5.31)
1X
83%
(1.14)
X2
49%
(2.23)
12
68%
(1.25)
Argentina
Boca Juniors
Platense
1
1
50%
(1.63)
X
33%
(3.37)
2
18%
(6.28)
1X
83%
(1.11)
X2
50%
(2.21)
12
67%
(1.29)
Denmark
Fredericia
AGF Aarhus
2
1
18%
(6.78)
X
18%
(4.98)
2
64%
(1.38)
1X
36%
(2.87)
X2
82%
(1.09)
12
82%
(1.16)
Portugal
Nacional
Porto
2
1
18%
(7.48)
X
19%
(4.78)
2
63%
(1.39)
1X
37%
(2.87)
X2
82%
(1.08)
12
81%
(1.17)
Hungary
Gyori ETO
Kisvarda
1
1
60%
(1.48)
X
22%
(4.25)
2
18%
(5.42)
1X
82%
(1.11)
X2
41%
(2.42)
12
78%
(1.18)
Italy
LR Vicenza
Alcione Milano
1
1
43%
(1.32)
X
39%
(4.31)
2
19%
(8.39)
1X
81%
(1.04)
X2
58%
(2.91)
12
61%
(1.14)
El Salvador
Luis Angel Firpo
Platense Zacatecoluca
1
1
50%
(1.41)
X
32%
(3.9)
2
19%
(6.6)
1X
81%
(1.08)
X2
50%
(2.5)
12
68%
(1.19)
Italy
Trento 1921
Pro Patria
1
1
46%
(1.47)
X
35%
(3.88)
2
19%
(5.84)
1X
81%
(1.07)
X2
54%
(2.39)
12
65%
(1.18)
Paraguay
Cerro Porteno
Nacional Asuncion
1
1
47%
(1.81)
X
35%
(3.21)
2
19%
(4.31)
1X
81%
(1.18)
X2
54%
(1.88)
12
65%
(1.3)
England
Arsenal
Wigan
1
1
48%
(1.05)
X
34%
(14.5)
2
19%
(30.67)
1X
81%
(1.01)
X2
52%
(11.4)
12
66%
(1.03)
Malta
Floriana
Tarxien Rainbows
1
1
53%
(1.24)
X
28%
(4.99)
2
19%
(9.64)
1X
81%
(1.03)
X2
47%
(3.52)
12
72%
(1.12)
Spain
Castellon
Deportivo La Coruna
1
1
50%
(1.73)
X
31%
(3.63)
2
19%
(4.42)
1X
81%
(1.18)
X2
50%
(1.99)
12
69%
(1.25)
Chile
Colo-Colo Santiago
Union La Calera
1
1
52%
(1.46)
X
29%
(4.19)
2
19%
(6.14)
1X
81%
(1.1)
X2
48%
(2.55)
12
71%
(1.19)
Costa Rica
Municipal Liberia
Deportivo Saprissa
2
1
21%
(3.27)
X
19%
(3.01)
2
60%
(2.13)
1X
40%
(1.61)
X2
79%
(1.27)
12
81%
(1.32)
Slovenia
NK Primorje Ajdovscina
NK Maribor
2
1
19%
(4.42)
X
24%
(3.86)
2
57%
(1.64)
1X
43%
(2.1)
X2
81%
(1.14)
12
76%
(1.21)
Andorra
FC Ordino
FC Santa Coloma
2
1
20%
(11.55)
X
27%
(5.4)
2
54%
(1.19)
1X
46%
X2
81%
12
73%
Bulgaria
Marek Dupnitsa
Sevlievo
1
1
49%
(1.74)
X
32%
(3.16)
2
20%
(4.65)
1X
81%
(1.13)
X2
51%
(1.91)
12
68%
(1.27)
Denmark
Odense
FC Midtjylland
2
1
20%
(4.19)
X
20%
(3.96)
2
60%
(1.72)
1X
40%
(2.02)
X2
80%
(1.2)
12
81%
(1.23)
Italy
Perugia
Carpi
1
1
48%
(1.73)
X
33%
(3.25)
2
20%
(4.51)
1X
81%
(1.15)
X2
52%
(1.94)
12
67%
(1.24)
Costa Rica
Herediano
Cartagines
1
1
43%
(1.8)
X
37%
(3.26)
2
20%
(4.1)
1X
80%
(1.17)
X2
57%
(1.88)
12
63%
(1.28)
Belgium
Cercle Brugge
Club Brugge
2
1
20%
(3.97)
X
28%
(3.84)
2
53%
(1.79)
1X
47%
(1.95)
X2
80%
(1.22)
12
72%
(1.24)
Portugal
AVS Futebol SAD
Estoril Praia
2
1
20%
(4.34)
X
23%
(3.86)
2
58%
(1.75)
1X
42%
(2.03)
X2
80%
(1.19)
12
77%
(1.24)
Spain
Lugo
CD Guadalajara
1
1
50%
(1.68)
X
31%
(3.32)
2
20%
(4.68)
1X
80%
(1.14)
X2
51%
(2.01)
12
69%
(1.23)
Guatemala
Municipal
Deportivo Achuapa
1
1
47%
(1.18)
X
33%
(5.49)
2
20%
(13)
1X
80%
(1.02)
X2
53%
(3.97)
12
67%
(1.09)
Croatia
HNK Gorica
Vukovar 1991
1
1
44%
(1.79)
X
37%
(3.51)
2
20%
(4.1)
1X
80%
(1.19)
X2
57%
(1.91)
12
64%
(1.27)
Italy
Ravenna
Juventus Next Gen
1
1
43%
(1.77)
X
37%
(3.33)
2
20%
(4.05)
1X
80%
(1.17)
X2
57%
(1.84)
12
63%
(1.25)
Albania
Dinamo City
Flamurtari Vlore
1
1
42%
(1.24)
X
38%
(4.4)
2
20%
(12.93)
1X
80%
(1.03)
X2
58%
(3.26)
12
63%
(1.15)
El Salvador
Zacatecoluca FC
Aguila San Miguel
2
1
20%
(4.61)
X
26%
(3.47)
2
54%
(1.65)
1X
46%
(2.01)
X2
80%
(1.15)
12
74%
(1.23)
Indonesia
Bali United
Persija Jakarta
2
1
21%
(3.05)
X
25%
(3.22)
2
54%
(2.09)
1X
46%
(1.6)
X2
80%
(1.28)
12
75%
(1.27)
France
Lyonnais
Nice
1
1
46%
(1.68)
X
34%
(3.98)
2
21%
(4.97)
1X
80%
(1.16)
X2
54%
(2.15)
12
66%
(1.24)
Morocco
FUS Rabat
KACM Marrakech
1
1
43%
(1.74)
X
37%
(3.2)
2
21%
(4.58)
1X
79%
(1.14)
X2
57%
(1.92)
12
63%
(1.27)
Mexico
Atletico Morelia
Venados
1
1
44%
(1.58)
X
36%
(3.9)
2
21%
(4.6)
1X
79%
(1.14)
X2
56%
(2.18)
12
64%
(1.2)
India
Jamshedpur FC
Mohammedan Kolkata
1
1
44%
(1.16)
X
35%
(6.35)
2
21%
(13.83)
1X
79%
(1.03)
X2
56%
(4.4)
12
65%
(1.09)
Uruguay
Central Espanol
Penarol Montevideo
2
1
21%
(7.04)
X
22%
(4.19)
2
57%
(1.4)
1X
44%
(2.68)
X2
79%
(1.07)
12
78%
(1.18)
Peru
Alianza Atletico
Alianza Lima
2
1
21%
(3.67)
X
30%
(3.14)
2
49%
(1.98)
1X
52%
(1.74)
X2
79%
(1.22)
12
70%
(1.32)
England
Birmingham
Leeds
2
1
21%
(3.35)
X
21%
(3.52)
2
57%
(2.07)
1X
43%
(1.72)
X2
79%
(1.3)
12
79%
(1.29)
Croatia
NK Osijek
Hajduk Split
2
1
21%
(4.07)
X
25%
(3.35)
2
54%
(1.83)
1X
46%
(1.84)
X2
79%
(1.18)
12
76%
(1.27)
Netherlands
Feyenoord
Go Ahead Eagles
1
1
49%
(1.36)
X
29%
(5.28)
2
21%
(7.54)
1X
79%
(1.08)
X2
51%
(3.12)
12
71%
(1.15)
Spain
Hercules
Antequera
1
1
41%
(1.74)
X
38%
(3.22)
2
21%
(4.35)
1X
79%
(1.14)
X2
59%
(1.91)
12
62%
(1.28)
Israel
Maccabi Haifa
Bnei Sakhnin
1
1
45%
(1.32)
X
33%
(4.71)
2
22%
(7.98)
1X
79%
(1.05)
X2
55%
(3.15)
12
67%
(1.14)
Japan
Gifu
Jubilo Iwata
2
1
22%
(3.05)
X
22%
(3.32)
2
56%
(2.11)
1X
44%
(1.62)
X2
78%
(1.29)
12
78%
(1.27)
Luxembourg
Mamer 32
Jeunesse Esch
2
1
25%
(3.69)
X
22%
(3.31)
2
53%
(1.85)
1X
47%
(1.79)
X2
75%
(1.22)
12
78%
(1.24)
Mexico
Monterrey
Leon
1
1
49%
(1.54)
X
29%
(4.2)
2
22%
(5.48)
1X
78%
(1.13)
X2
51%
(2.34)
12
71%
(1.2)
Scotland
Kilmarnock
Celtic
2
1
22%
(7.25)
X
23%
(4.86)
2
55%
(1.36)
1X
45%
(2.94)
X2
78%
(1.08)
12
77%
(1.16)
Slovenia
FC Koper
NK Radomlje
1
1
51%
(1.56)
X
26%
(3.96)
2
22%
(4.89)
1X
78%
(1.12)
X2
49%
(2.24)
12
74%
(1.19)
Romania
Farul Constanta
Rapid Bucuresti
2
1
25%
(3.17)
X
22%
(3.36)
2
52%
(2.11)
1X
48%
(1.64)
X2
75%
(1.31)
12
78%
(1.28)
Bulgaria
Ludogorets Razgrad
Beroe Stara Zagora
1
1
46%
(1.11)
X
32%
(8.11)
2
23%
(18.25)
1X
78%
(1.02)
X2
54%
(5.63)
12
69%
(1.06)
Austria
Grazer AK
Red Bull Salzburg
2
1
23%
(4.57)
X
24%
(3.74)
2
53%
(1.7)
1X
47%
(2.06)
X2
77%
(1.17)
12
76%
(1.24)
San Marino
SS Folgore Falciano
SP Tre Fiori
2
1
25%
(3.9)
X
23%
(3.11)
2
52%
(1.86)
1X
48%
(1.78)
X2
75%
(1.19)
12
77%
(1.28)
Belgium
Francs Borains
SK Beveren
2
1
23%
(5.44)
X
27%
(3.9)
2
50%
(1.5)
1X
50%
(2.34)
X2
77%
(1.11)
12
73%
(1.2)
Belgium
Saint Truiden
Zulte Waregem
1
1
43%
(1.69)
X
34%
(3.84)
2
23%
(4.61)
1X
77%
(1.17)
X2
57%
(2.08)
12
66%
(1.24)
Japan
Tochigi SC
Montedio Yamagata
2
1
23%
(2.93)
X
25%
(3.2)
2
52%
(2.22)
1X
48%
(1.54)
X2
77%
(1.32)
12
75%
(1.28)
Spain
Celta Fortuna
Real Aviles
1
1
46%
(1.7)
X
31%
(3.49)
2
23%
(4.24)
1X
77%
(1.15)
X2
54%
(1.97)
12
69%
(1.23)
Belgium
Anderlecht
RAAL La Louviere
1
1
42%
(1.73)
X
35%
(3.56)
2
23%
(4.76)
1X
77%
(1.17)
X2
58%
(2.02)
12
66%
(1.27)
Netherlands
Heerenveen
FC Zwolle
1
1
46%
(1.53)
X
30%
(4.43)
2
23%
(5.65)
1X
77%
(1.13)
X2
54%
(2.45)
12
70%
(1.2)
Spain
Rayo Vallecano
Atletico Madrid
2
1
23%
(4.47)
X
25%
(3.69)
2
52%
(1.82)
1X
48%
(1.96)
X2
77%
(1.2)
12
75%
(1.27)
Singapore
Lion City Sailors
Tanjong Pagar
1
1
52%
(1.05)
X
24%
(12.7)
2
25%
(25.6)
1X
75%
(1.01)
X2
48%
(9.66)
12
77%
(1.04)
Poland
Lech Poznan
Piast Gliwice
1
1
48%
(1.73)
X
29%
(3.74)
2
24%
(4.34)
1X
77%
(1.17)
X2
52%
(2.03)
12
71%
(1.25)
Netherlands
Telstar Velsen
Twente
2
1
26%
(5.13)
X
24%
(4.25)
2
50%
(1.59)
1X
50%
(2.3)
X2
74%
(1.15)
12
76%
(1.22)
El Salvador
Cacahuatique
Isidro Metapan
2
1
27%
(3.37)
X
24%
(2.84)
2
50%
(2.15)
1X
50%
(1.58)
X2
73%
(1.27)
12
76%
(1.33)
Luxembourg
Progres Niedercorn
Swift Hesperange
1
1
46%
(1.68)
X
31%
(3.72)
2
24%
(4.07)
1X
76%
(1.18)
X2
54%
(1.97)
12
69%
(1.21)
England
Oxford United
Sunderland
2
1
24%
(4.97)
X
25%
(3.7)
2
51%
(1.68)
1X
49%
(2.14)
X2
76%
(1.15)
12
75%
(1.26)
Poland
Wieczysta Krakow
Puszcza Niepolomice
1
1
49%
(1.51)
X
27%
(3.95)
2
24%
(5.24)
1X
76%
(1.12)
X2
51%
(2.3)
12
73%
(1.18)
Bosnia and Herzegovina
Sloga Doboj
FK Sarajevo
2
1
24%
(3.58)
X
25%
(2.82)
2
51%
(2.11)
1X
49%
(1.6)
X2
76%
(1.23)
12
76%
(1.35)
Spain
Mirandes
Las Palmas
2
1
25%
(3.18)
X
24%
(3.05)
2
51%
(2.27)
1X
49%
(1.57)
X2
75%
(1.31)
12
76%
(1.34)
Colombia
Deportivo Cali
Atletico Nacional
2
1
27%
(3.27)
X
24%
(3.31)
2
49%
(2.13)
1X
52%
(1.66)
X2
73%
(1.3)
12
76%
(1.3)
Japan
Oita Trinita
Giravanz Kitakyushu
1
1
41%
(1.73)
X
34%
(3.38)
2
24%
(4.36)
1X
76%
(1.17)
X2
59%
(1.89)
12
66%
(1.26)
Paraguay
Sportivo Trinidense
Libertad Asuncion
2
1
27%
(3.58)
X
24%
(3.21)
2
48%
(1.98)
1X
52%
(1.72)
X2
73%
(1.24)
12
76%
(1.3)
Germany
Schweinfurt 05
Ingolstadt
2
1
24%
(3.94)
X
27%
(3.85)
2
49%
(1.72)
1X
51%
(1.97)
X2
76%
(1.2)
12
73%
(1.21)
Czech Republic
Sparta Prague
Hradec Kralove
1
1
43%
(1.35)
X
32%
(4.48)
2
25%
(8.19)
1X
75%
(1.06)
X2
57%
(2.95)
12
68%
(1.17)
Singapore
Geylang International
Hougang United FC
1
1
40%
(1.71)
X
25%
(3.99)
2
35%
(3.76)
1X
65%
(1.21)
X2
60%
(1.97)
12
75%
(1.19)
Spain
Real Oviedo
Athletic Bilbao
2
1
26%
(3.73)
X
27%
(3.14)
2
48%
(2.19)
1X
52%
(1.67)
X2
75%
(1.25)
12
73%
(1.36)
Argentina
Gimnasia La Plata
Estudiantes La Plata
2
1
32%
(3.52)
X
26%
(2.85)
2
42%
(2.3)
1X
58%
(1.56)
X2
68%
(1.28)
12
74%
(1.4)
Luxembourg
Kaerjeng Un
US Mondorf-les-Bains
2
1
32%
(3.9)
X
26%
(3.48)
2
42%
(1.77)
1X
58%
(1.87)
X2
68%
(1.21)
12
74%
(1.23)
Cyprus
AEL Limassol
Pafos FC
2
1
32%
(4.04)
X
27%
(3.33)
2
42%
(1.81)
1X
58%
(1.86)
X2
68%
(1.19)
12
73%
(1.25)
Japan
Ehime FC
Zweigen Kanazawa
2
1
30%
(3.78)
X
27%
(3.26)
2
43%
(1.88)
1X
57%
(1.77)
X2
70%
(1.21)
12
73%
(1.25)
Italy
Dolomiti Bellunesi
Pro Vercelli
2
1
28%
(2.95)
X
27%
(3.07)
2
45%
(2.23)
1X
55%
(1.53)
X2
73%
(1.29)
12
73%
(1.29)
England
Grimsby
Wolverhampton
2
1
30%
(6.32)
X
28%
(4.7)
2
42%
(1.43)
1X
58%
(2.69)
X2
70%
(1.11)
12
72%
(1.18)
Peru
Comerciantes Unidos
Los Chankas CYC
1
1
36%
(2.09)
X
35%
(3.36)
2
29%
(3.14)
1X
71%
(1.3)
X2
64%
(1.66)
12
65%
(1.27)
Italy
Bra
Ascoli
2
1
29%
(4.95)
X
34%
(3.44)
2
36%
(1.62)
1X
64%
(2.08)
X2
71%
(1.12)
12
66%
(1.23)
Portugal
Pacos Ferreira
Torreense
2
1
30%
(3.52)
X
31%
(3.02)
2
39%
(2.06)
1X
61%
(1.65)
X2
70%
(1.25)
12
69%
(1.32)


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.