Tomorrow’s Football 1X2 Predictions

By
Tips for tomorrow August 3, 2025 Shows outcome probability of each result ( ) Displays the average odds for the bet
Faroe Islands
EB Streymur
KI Klaksvik
2
1
13%
(14.5)
X
15%
(7.58)
2
73%
(1.11)
1X
27%
(5.5)
X2
88%
(1.02)
12
85%
(1.04)
Bolivia
The Strongest La Paz
Blooming Santa Cruz
1
1
65%
(1.31)
X
21%
(4.97)
2
14%
(7.28)
1X
86%
(1.06)
X2
35%
(3.05)
12
79%
(1.13)
Kazakhstan
Zhetysu Taldykorgan
Turan Turkistan
1
1
64%
(1.74)
X
22%
(3.31)
2
14%
(4.74)
1X
86%
(1.16)
X2
36%
(1.97)
12
78%
(1.29)
Scotland
Celtic
Saint Mirren
1
1
65%
(1.17)
X
21%
(7.2)
2
14%
(14.92)
1X
86%
(1.02)
X2
35%
(4.84)
12
79%
(1.08)
Latvia
FK Tukums 2000
Riga FC
2
1
14%
(18.9)
X
16%
(8.18)
2
70%
(1.08)
1X
30%
(6.27)
X2
86%
(1.01)
12
85%
(1.05)
Armenia
Noah
Shirak
1
1
60%
(1.22)
X
26%
(5.28)
2
15%
(10.23)
1X
86%
(1.02)
X2
40%
(3.54)
12
75%
(1.1)
Latvia
Auda Kekava
Metta Riga
1
1
59%
(1.27)
X
26%
(5.03)
2
15%
(8.22)
1X
85%
(1.05)
X2
41%
(3.27)
12
74%
(1.13)
Mexico
Atlante
Tepatitlan
1
1
59%
(1.61)
X
26%
(3.63)
2
15%
(4.94)
1X
85%
(1.14)
X2
41%
(2.17)
12
74%
(1.24)
Ukraine
Metalurg Zaporozhye
Metalist Kharkov
2
1
15%
(3.33)
X
19%
(3.32)
2
67%
(2.01)
1X
34%
(1.73)
X2
85%
(1.29)
12
81%
(1.28)
Estonia
Tartu Tammeka
Nomme Kalju
2
1
15%
(6.32)
X
17%
(4.29)
2
68%
(1.4)
1X
32%
(2.65)
X2
85%
(1.08)
12
83%
(1.18)
Kazakhstan
Astana
Kaisar Kyzylorda
1
1
56%
(1.21)
X
28%
(5.55)
2
16%
(11.07)
1X
84%
(1.01)
X2
44%
(3.57)
12
72%
(1.11)
Ecuador
LDU de Quito
Mushuc Runa
1
1
51%
(1.37)
X
32%
(4.51)
2
17%
(7.29)
1X
83%
(1.07)
X2
49%
(2.88)
12
68%
(1.17)
China
Beijing Guoan
Tianjin Jinmen Tiger
1
1
57%
(1.41)
X
27%
(4.89)
2
17%
(6.38)
1X
83%
(1.1)
X2
44%
(2.8)
12
73%
(1.16)
Chile
Colo-Colo Santiago
Huachipato Talcahuano
1
1
55%
(1.4)
X
28%
(4.49)
2
17%
(6.82)
1X
83%
(1.09)
X2
45%
(2.77)
12
72%
(1.18)
Bulgaria
Lokomotiv Sofia
Montana
1
1
53%
(1.51)
X
30%
(3.82)
2
17%
(6.31)
1X
83%
(1.1)
X2
47%
(2.43)
12
70%
(1.23)
Lithuania
Dainava Alytus
Suduva Marijampole
2
1
17%
(6.92)
X
18%
(4.45)
2
65%
(1.36)
1X
35%
(2.71)
X2
83%
(1.07)
12
82%
(1.16)
Bosnia and Herzegovina
FK Sarajevo
Radnik Bijeljina
1
1
53%
(1.32)
X
30%
(4.45)
2
17%
(8.63)
1X
83%
(1.03)
X2
47%
(2.94)
12
70%
(1.16)
Ecuador
Tecnico Universitario
Manta FC
1
1
48%
(1.62)
X
35%
(3.63)
2
17%
(5.18)
1X
83%
(1.13)
X2
52%
(2.22)
12
65%
(1.26)
Ireland
Shamrock Rovers
Derry City
1
1
53%
(1.83)
X
29%
(3.28)
2
17%
(4.54)
1X
83%
(1.18)
X2
47%
(1.93)
12
71%
(1.31)
Kazakhstan
Ordabasy Shymkent
Atyrau
1
1
55%
(1.22)
X
28%
(5.03)
2
18%
(13.43)
1X
83%
(1.03)
X2
45%
(3.19)
12
72%
(1.15)
Faroe Islands
B68 Toftir
NSI Runavik
2
1
18%
(13)
X
22%
(6.78)
2
60%
(1.15)
1X
40%
(4.35)
X2
82%
(1.02)
12
78%
(1.07)
Bulgaria
Pirin Blagoevgrad
Minyor Pernik
1
1
47%
(1.75)
X
35%
(3.17)
2
18%
(4.38)
1X
82%
(1.15)
X2
53%
(1.91)
12
65%
(1.26)
Latvia
Grobinas SC
RFS Riga
2
1
18%
(11.94)
X
21%
(6.66)
2
61%
(1.15)
1X
39%
(4.28)
X2
82%
(1.03)
12
79%
(1.07)
Argentina
Estudiantes Rio Cuarto
Talleres Remedios de Escalada
1
1
42%
(1.51)
X
40%
(3.6)
2
18%
(7.11)
1X
82%
(1.08)
X2
58%
(2.4)
12
60%
(1.26)
Belgium
Union Saint-Gilloise
Oud-Heverlee Leuven
1
1
52%
(1.32)
X
30%
(5.16)
2
18%
(8.63)
1X
82%
(1.07)
X2
48%
(3.21)
12
70%
(1.15)
Ecuador
Independiente del Valle
El Nacional Quito
1
1
48%
(1.29)
X
35%
(5.07)
2
18%
(8.67)
1X
82%
(1.06)
X2
52%
(3.39)
12
65%
(1.14)
Chile
O'Higgins Rancagua
Union La Calera
1
1
51%
(1.79)
X
32%
(3.4)
2
18%
(4.47)
1X
82%
(1.18)
X2
50%
(1.95)
12
68%
(1.29)
Luxembourg
Swift Hesperange
Union Titus Petange
2
1
18%
(3.02)
X
20%
(3.53)
2
62%
(2.01)
1X
38%
(1.65)
X2
82%
(1.29)
12
80%
(1.21)
Brazil
Vitoria BA
Palmeiras SP
2
1
18%
(4.39)
X
24%
(3.28)
2
58%
(1.91)
1X
42%
(1.87)
X2
82%
(1.19)
12
76%
(1.32)
Croatia
HNK Rijeka
Slaven Belupo
1
1
48%
(1.48)
X
34%
(3.98)
2
18%
(6.2)
1X
82%
(1.1)
X2
52%
(2.48)
12
66%
(1.21)
Brazil
Sao Bernardo SP
Tombense MG
1
1
45%
(1.57)
X
37%
(3.27)
2
18%
(6.23)
1X
82%
(1.08)
X2
55%
(2.21)
12
63%
(1.27)
Russia
Fakel Voronezh
Sokol Saratov
1
1
47%
(1.51)
X
34%
(3.72)
2
18%
(7.65)
1X
82%
(1.07)
X2
53%
(2.52)
12
66%
(1.26)
Denmark
Brondby
Viborg
1
1
50%
(1.51)
X
32%
(4.53)
2
19%
(5.46)
1X
82%
(1.13)
X2
50%
(2.49)
12
68%
(1.18)
Kazakhstan
Aktobe
Zhenis Astana
1
1
50%
(1.56)
X
32%
(3.64)
2
19%
(5.56)
1X
81%
(1.11)
X2
50%
(2.23)
12
68%
(1.22)
Czech Republic
Dukla Prague
Banik Ostrava
2
1
19%
(3.53)
X
21%
(3.62)
2
60%
(1.94)
1X
40%
(1.82)
X2
81%
(1.28)
12
79%
(1.27)
Poland
Legia Warszawa
Arka Gdynia
1
1
52%
(1.37)
X
30%
(4.94)
2
19%
(7.09)
1X
81%
(1.08)
X2
49%
(3)
12
70%
(1.16)
Peru
Sport Huancayo
Ayacucho FC
1
1
49%
(1.53)
X
33%
(3.97)
2
19%
(5.66)
1X
81%
(1.12)
X2
51%
(2.38)
12
68%
(1.23)
Ireland
Waterford
St Patrick's Athletic
2
1
19%
(3.5)
X
31%
(3.47)
2
50%
(2)
1X
50%
(1.76)
X2
81%
(1.29)
12
69%
(1.3)
Czech Republic
FC Slovacko
Slavia Prague
2
1
19%
(9)
X
23%
(5.61)
2
58%
(1.28)
1X
43%
(3.53)
X2
81%
(1.06)
12
77%
(1.13)
Iceland
Breidablik Kopavogur
KA Akureyri
1
1
57%
(1.43)
X
24%
(4.7)
2
19%
(5.42)
1X
81%
(1.12)
X2
43%
(2.62)
12
76%
(1.16)
Croatia
Hajduk Split
Istra 1961 Pula
1
1
48%
(1.6)
X
33%
(3.68)
2
19%
(5.44)
1X
81%
(1.13)
X2
53%
(2.24)
12
67%
(1.24)
Belarus
Torpedo-BelAZ Zhodino
FC Gomel
1
1
48%
(1.49)
X
32%
(3.49)
2
19%
(8.35)
1X
81%
(1.06)
X2
52%
(2.4)
12
68%
(1.28)
Serbia
FK Cukaricki
Radnicki Nis
1
1
49%
(1.79)
X
32%
(3.43)
2
19%
(4.27)
1X
81%
(1.16)
X2
51%
(1.91)
12
69%
(1.26)
Norway
Hamarkameratene
Bodo Glimt
2
1
19%
(7.23)
X
22%
(5.17)
2
58%
(1.35)
1X
42%
(3.06)
X2
81%
(1.09)
12
78%
(1.14)
Hungary
Puskas Academy
Nyiregyhaza Spartacus
1
1
48%
(1.51)
X
32%
(4.28)
2
20%
(5.27)
1X
81%
(1.14)
X2
52%
(2.36)
12
68%
(1.19)
Sweden
Djurgardens
Halmstads
1
1
50%
(1.25)
X
30%
(5.72)
2
20%
(11)
1X
81%
(1.04)
X2
50%
(3.79)
12
70%
(1.12)
Serbia
Partizan Belgrade
Radnicki 1923
1
1
50%
(1.7)
X
30%
(3.8)
2
20%
(4.34)
1X
80%
(1.16)
X2
50%
(2)
12
70%
(1.21)
Bulgaria
Levski Sofia
Slavia Sofia
1
1
48%
(1.46)
X
32%
(3.79)
2
20%
(7.49)
1X
80%
(1.08)
X2
52%
(2.58)
12
68%
(1.24)
Nicaragua
Rancho Santana
Real Esteli
2
1
20%
(8.48)
X
25%
(4.98)
2
56%
(1.31)
1X
45%
(3.11)
X2
80%
(1.04)
12
75%
(1.13)
Belgium
Genk
Royal Antwerp
1
1
47%
(1.6)
X
33%
(4.2)
2
20%
(5.08)
1X
80%
(1.15)
X2
53%
(2.28)
12
67%
(1.21)
Slovakia
AS Trencin
Spartak Trnava
2
1
22%
(3.53)
X
20%
(3.59)
2
58%
(1.91)
1X
42%
(1.82)
X2
78%
(1.26)
12
80%
(1.25)
Costa Rica
Municipal Liberia
Perez Zeledon
1
1
47%
(1.69)
X
33%
(3.39)
2
20%
(4.79)
1X
80%
(1.14)
X2
53%
(2.05)
12
67%
(1.28)
Estonia
Paide Linnameeskond
Harju JK Laagri
1
1
51%
(1.21)
X
29%
(5.78)
2
20%
(10.39)
1X
80%
(1.04)
X2
49%
(3.87)
12
71%
(1.11)
Argentina
Gimnasia Mendoza
Atletico Mitre
1
1
42%
(1.62)
X
38%
(3.33)
2
20%
(6.18)
1X
80%
(1.1)
X2
59%
(2.19)
12
62%
(1.3)
Slovakia
MSK Zilina
Tatran Presov
1
1
48%
(1.45)
X
32%
(4.42)
2
20%
(5.72)
1X
80%
(1.11)
X2
52%
(2.58)
12
68%
(1.17)
Sweden
Hacken
Elfsborg
2
1
20%
(3.02)
X
23%
(3.74)
2
57%
(2.14)
1X
43%
(1.68)
X2
80%
(1.35)
12
78%
(1.25)
Costa Rica
Herediano
Puntarenas
1
1
43%
(1.7)
X
36%
(3.29)
2
21%
(4.94)
1X
80%
(1.13)
X2
57%
(2.04)
12
64%
(1.28)
Brazil
Fluminense RJ
Gremio RS
1
1
45%
(1.82)
X
35%
(3.39)
2
21%
(4.67)
1X
80%
(1.18)
X2
55%
(1.93)
12
65%
(1.3)
Bosnia and Herzegovina
Velez Mostar
Borac Banja Luka
2
1
21%
(3.45)
X
25%
(3.34)
2
54%
(1.97)
1X
46%
(1.7)
X2
80%
(1.25)
12
75%
(1.26)
China
Wuhan Three Towns
Changchun Yatai
1
1
54%
(1.71)
X
26%
(4)
2
21%
(4.32)
1X
79%
(1.19)
X2
46%
(2.08)
12
75%
(1.22)
Czech Republic
FK Pardubice
Sparta Prague
2
1
21%
(7.87)
X
25%
(4.91)
2
55%
(1.35)
1X
45%
(3.07)
X2
79%
(1.07)
12
75%
(1.16)
Iceland
FH Hafnarfjordur
Vikingur Reykjavik
2
1
21%
(3.12)
X
23%
(3.65)
2
56%
(2.03)
1X
44%
(1.69)
X2
79%
(1.33)
12
77%
(1.24)
Canada
Forge FC
Valour FC
1
1
48%
(1.73)
X
31%
(3.57)
2
21%
(3.98)
1X
79%
(1.19)
X2
52%
(1.92)
12
69%
(1.24)
Sweden
Sirius
Osters
1
1
49%
(1.7)
X
30%
(3.97)
2
21%
(4.5)
1X
79%
(1.19)
X2
52%
(2.11)
12
70%
(1.24)
El Salvador
Platense Zacatecoluca
Alianza San Salvador
2
1
21%
(4.4)
X
27%
(3.31)
2
52%
(1.73)
1X
48%
(1.88)
X2
79%
(1.14)
12
73%
(1.25)
Bolivia
Real Tomayapo
Gualberto Villarroel San Jose
1
1
51%
(1.71)
X
28%
(3.74)
2
22%
(3.99)
1X
78%
(1.19)
X2
49%
(1.99)
12
72%
(1.22)
Norway
Stromsgodset
Haugesund
1
1
49%
(1.67)
X
29%
(4.21)
2
22%
(4.33)
1X
78%
(1.2)
X2
51%
(2.13)
12
71%
(1.21)
Poland
Radomiak Radom
Rakow Czestochowa
2
1
22%
(3.6)
X
30%
(3.37)
2
48%
(2.03)
1X
52%
(1.75)
X2
78%
(1.27)
12
70%
(1.3)
Brazil
Atletico PR
Paysandu PA
1
1
41%
(1.55)
X
37%
(3.74)
2
22%
(6.2)
1X
78%
(1.1)
X2
59%
(2.38)
12
63%
(1.25)
Czech Republic
Viktoria Zizkov
SK Prostejov
1
1
43%
(1.71)
X
34%
(3.65)
2
22%
(3.99)
1X
78%
(1.19)
X2
57%
(1.96)
12
66%
(1.22)
Georgia
Torpedo Kutaisi
Gagra
1
1
44%
(1.77)
X
34%
(3.34)
2
23%
(4.21)
1X
78%
(1.18)
X2
56%
(1.81)
12
66%
(1.24)
Denmark
Sonderjyske
FC Nordsjaelland
2
1
23%
(3.3)
X
23%
(3.64)
2
55%
(2.03)
1X
46%
(1.73)
X2
77%
(1.3)
12
77%
(1.27)
Czech Republic
Vysocina Jihlava
Pribram
1
1
44%
(1.57)
X
34%
(3.92)
2
23%
(4.63)
1X
77%
(1.15)
X2
57%
(2.18)
12
66%
(1.2)
Hungary
Kisvarda
Paksi
2
1
23%
(2.88)
X
26%
(3.68)
2
51%
(2.14)
1X
49%
(1.65)
X2
77%
(1.37)
12
74%
(1.24)
Brazil
Ceara CE
Flamengo RJ
2
1
23%
(4.21)
X
26%
(3.23)
2
51%
(1.95)
1X
49%
(1.82)
X2
77%
(1.2)
12
74%
(1.33)
Finland
Seinajoen JK
KTP Kotka
1
1
49%
(1.42)
X
28%
(4.82)
2
23%
(5.73)
1X
77%
(1.12)
X2
51%
(2.72)
12
72%
(1.16)
Romania
Hermannstadt
Universitatea Cluj
2
1
23%
(3.22)
X
28%
(3.32)
2
49%
(2.13)
1X
51%
(1.67)
X2
77%
(1.32)
12
72%
(1.31)
China
Shenzhen Peng City
Zhejiang Professional
2
1
23%
(3.43)
X
26%
(3.6)
2
51%
(2.02)
1X
49%
(1.75)
X2
77%
(1.28)
12
74%
(1.27)
Norway
Alta
Tromsdalen
2
1
26%
(3.08)
X
24%
(3.86)
2
50%
(1.94)
1X
50%
(1.7)
X2
74%
(1.29)
12
76%
(1.19)
Belarus
FC Smorgon
Dinamo Minsk
2
1
24%
(8.25)
X
24%
(4.38)
2
52%
(1.38)
1X
48%
(2.9)
X2
76%
(1.06)
12
76%
(1.18)
Mexico
Tlaxcala
Mineros de Zacatecas
2
1
24%
(3.9)
X
26%
(3.44)
2
50%
(1.81)
1X
50%
(1.88)
X2
76%
(1.2)
12
74%
(1.26)
Scotland
Dundee FC
Hibernian
2
1
28%
(3.97)
X
25%
(3.68)
2
48%
(1.83)
1X
52%
(1.92)
X2
72%
(1.22)
12
75%
(1.26)
Japan
Roasso Kumamoto
Mito HollyHock
2
1
25%
(3.07)
X
27%
(3.2)
2
49%
(2.17)
1X
51%
(1.63)
X2
75%
(1.31)
12
73%
(1.31)
Nicaragua
Real Madriz
Managua FC
2
1
26%
(4.11)
X
26%
(3.69)
2
48%
(1.74)
1X
52%
(1.94)
X2
74%
(1.18)
12
74%
(1.22)
Top Picks Double Chance BTTS Over 2.5 Over 3.5 Today

Football 1×2 Betting Guide

Tomorrow’s football 1×2 predictions are provided by a team of pro bettors, drawing from years of placing bets on football matches across leagues like the Premier League, La Liga, and the Bundesliga. As someone who’s turned a hobby into a sharp skill set, I know that winning at 1×2 betting is not always easy. While we provide the stepping stones, winning consistency is a long term play.

If you’re new to this or just need a refresher, understanding 1×2 is key to everything else. In simple terms, a 1×2 bet is a wager on the outcome of a football match after 90 minutes (plus stoppage time, but not extra time or penalties unless specified). Here’s the breakdown:

  • 1 (Home Win): You bet on the home team to win. If they do, you collect.
  • X (Draw): You bet on the game ending in a tie. This pays out if neither team pulls ahead.
  • 2 (Away Win): You bet on the visiting team to take the victory.

Odds are attached to each option, showing the potential payout. 1×2 is the most straightforward bet in football, but it covers a huge range of matches worldwide. To get comfortable, practice with low-stakes bets or paper trading (tracking picks without money). Remember, bookies build in a margin (vig), so odds aren’t pure probability.

Reliable Betting Strategies for 1×2

With research and value in hand, apply strategies to structure your bets. I’ve tested these over seasons and they work when used right. Use this along with tomorrow’s football 1×2 predictions to get winning bets

  • Underdog Focus: Bet on away wins when odds are 3.00+. Research shows underdogs win 25-30% of games, but odds often undervalue them. In La Liga, teams like Villarreal punch above weight away.
  • Draw Betting: Target leagues with high draw rates, like Portugal’s Primeira Liga (30%+). Look for even matches, tired teams post-Europe, or defensive setups. Chain them in small accumulators for bigger payouts, but keep it to 2-3 games.
  • Home Advantage Plays: Stick to strong home teams against mid-tier opponents. In the MLS, home wins hit 50% due to travel fatigue.
  • Live Betting: While 1×2 is pre-match, watch for in-play shifts. If a favorite concedes early, odds on draw or away might offer value.Mix strategies: For a weekend slate, pick 3-5 value bets, focusing on one type (e.g., draws in Italy).
Tomorrow's football 1x2 predictions

Analyzing Key Stats for Tomorrow’s Football 1×2 Predictions

Start with goals scored and conceded. Average goals per game help predict if a match will be open or cagey. In Serie A, teams like Juventus often play low-scoring games, boosting draw chances. Calculate averages: If Team A scores 1.8 goals at home and concedes 0.9, while Team B scores 1.2 away and concedes 1.5, expect around 2-3 total goals, leaning toward a home win.

Possession and shots on target reveal control. A team dominating possession (over 60%) usually wins, but watch efficiency. Barcelona under Xavi holds the ball but sometimes fails to convert, leading to surprise draws.Look for trends in results.

Is there a draw streak? Leagues like Ligue 1 see more draws (around 25-30% of games) than the high-octane Premier League (20-25%). Spot patterns: Underdogs drawing against top teams, or mid-table clashes ending level.Advanced metrics like expected goals (xG) are game-changers. xG estimates goals based on shot quality.

If a team’s xG is higher than actual goals, they’re due for a breakout which is great for ‘1’ or ‘2’ bets. For example, in the 2024-25 season (as of early 2025), if Chelsea’s xG suggests they’re underperforming, bet on them to win upcoming home games.Seasonal trends: Early season sees more upsets as teams gel, while late season has motivated sides fighting relegation or titles.

In the Bundesliga, Bayern often starts slow but ramps up.Combine stats: For a hypothetical Arsenal vs. Tottenham match, Arsenal’s 70% home win rate, Tottenham’s poor away form (30% wins), and an average of 2.5 goals point to a ‘1’ with value if odds are fair.

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