Updated on February 27, 2026 Shows outcome probability of each result ( ) Displays the average odds for the bet
Armenia
Urartu
Van
1
1
78%
(1.61)
X
16%
(3.58)
2
6%
(4.76)
1X
94%
(1.14)
X2
22%
(2.11)
12
84%
(1.21)
Ukraine
Shakhtar Donetsk
Veres Rivne
1
1
66%
(1.18)
X
23%
(6.27)
2
11%
(12.7)
1X
89%
(1.02)
X2
34%
(4.24)
12
77%
(1.09)
Portugal
Porto
Arouca
1
1
64%
(1.16)
X
23%
(7.27)
2
13%
(15.5)
1X
87%
(1.02)
X2
36%
(4.9)
12
77%
(1.09)
Uzbekistan
Pakhtakor Tashkent
PFK Qizilqum
1
1
61%
(1.29)
X
25%
(5.19)
2
14%
(10)
1X
87%
(1.03)
X2
39%
(3.34)
12
75%
(1.13)
Portugal
Sporting CP
Estoril Praia
1
1
61%
(1.2)
X
25%
(7.05)
2
14%
(11.21)
1X
86%
(1.04)
X2
39%
(4.26)
12
75%
(1.09)
Venezuela
Academia Puerto Cabello
Estudiantes de Merida
1
1
54%
(1.59)
X
31%
(3.56)
2
15%
(5.4)
1X
85%
(1.11)
X2
46%
(2.16)
12
69%
(1.21)
Nicaragua
Real Esteli
Real Madriz
1
1
58%
(1.09)
X
26%
(8.03)
2
16%
(19.83)
1X
84%
(1.01)
X2
42%
(5.91)
12
74%
(1.05)
Ireland
St Patrick's Athletic
Dundalk
1
1
51%
(1.73)
X
33%
(3.5)
2
16%
(4.63)
1X
84%
(1.17)
X2
49%
(1.99)
12
67%
(1.28)
Peru
Melgar Arequipa
Los Chankas CYC
1
1
49%
(1.36)
X
35%
(4.6)
2
17%
(7.57)
1X
83%
(1.07)
X2
52%
(2.88)
12
65%
(1.16)
Honduras
Marathon San Pedro
Genesis PN
1
1
47%
(1.24)
X
36%
(5.09)
2
17%
(9.61)
1X
83%
(1.03)
X2
53%
(3.53)
12
64%
(1.11)
Tunisia
ES Zarzis
JS Kairouan
1
1
51%
(1.49)
X
32%
(3.52)
2
17%
(6.45)
1X
83%
(1.08)
X2
49%
(2.31)
12
68%
(1.24)
Japan
Vissel Kobe
Avispa Fukuoka
1
1
47%
(1.69)
X
37%
(3.41)
2
17%
(5.18)
1X
83%
(1.13)
X2
54%
(2.06)
12
63%
(1.28)
Morocco
FAR Rabat
CODM Meknes
1
1
46%
(1.3)
X
37%
(4.37)
2
17%
(9.5)
1X
83%
(1.04)
X2
54%
(3.17)
12
63%
(1.17)
Japan
Sanfrecce Hiroshima
Kyoto Sanga FC
1
1
46%
(1.77)
X
37%
(3.61)
2
17%
(4.24)
1X
83%
(1.19)
X2
54%
(1.95)
12
63%
(1.25)
Belgium
Kortrijk
RFC Liege
1
1
54%
(1.58)
X
29%
(3.68)
2
17%
(5.1)
1X
83%
(1.13)
X2
46%
(2.19)
12
71%
(1.22)
Azerbaijan
Araz-Naxcivan
Zira Baku
2
1
17%
(3.81)
X
22%
(3.1)
2
60%
(1.89)
1X
40%
(1.76)
X2
83%
(1.2)
12
78%
(1.27)
Ireland
Derry City
Waterford
1
1
50%
(1.46)
X
32%
(4.17)
2
18%
(6.55)
1X
82%
(1.09)
X2
50%
(2.57)
12
68%
(1.2)
Italy
Monza
Entella
1
1
54%
(1.58)
X
28%
(3.74)
2
18%
(5.68)
1X
82%
(1.12)
X2
47%
(2.26)
12
72%
(1.25)
Armenia
Ararat
Alashkert
2
1
19%
(5.18)
X
18%
(3.75)
2
63%
(1.52)
1X
37%
(2.25)
X2
81%
(1.11)
12
82%
(1.19)
Belgium
Jong KAA Gent
Patro Eisden Maasmechelen
2
1
18%
(2.94)
X
21%
(3.29)
2
60%
(2.18)
1X
40%
(1.59)
X2
82%
(1.33)
12
79%
(1.27)
Turkey
Trabzonspor
Fatih Karagumruk
1
1
45%
(1.37)
X
36%
(4.75)
2
18%
(8.02)
1X
82%
(1.07)
X2
55%
(2.97)
12
64%
(1.17)
Morocco
MAS Fez
KACM Marrakech
1
1
44%
(1.78)
X
38%
(3.02)
2
18%
(4.68)
1X
82%
(1.15)
X2
56%
(1.88)
12
62%
(1.31)
France
Sochaux
Villefranche-Beaujolais
1
1
46%
(1.56)
X
36%
(3.6)
2
19%
(5.34)
1X
82%
(1.1)
X2
54%
(2.22)
12
64%
(1.22)
Nicaragua
Walter Ferretti
UNAN Managua
1
1
46%
(1.67)
X
36%
(3.64)
2
19%
(4.36)
1X
82%
(1.17)
X2
54%
(2.06)
12
65%
(1.23)
India
East Bengal Kolkata
Jamshedpur FC
1
1
51%
(1.73)
X
31%
(3.63)
2
19%
(4.02)
1X
81%
(1.18)
X2
49%
(1.95)
12
69%
(1.23)
Mexico
Alebrijes de Oaxaca
Dorados de Sinaloa
1
1
58%
(1.59)
X
24%
(3.8)
2
19%
(4.74)
1X
81%
(1.14)
X2
42%
(2.16)
12
76%
(1.21)
Turkey
Istanbul Basaksehir
Konyaspor
1
1
53%
(1.73)
X
29%
(3.86)
2
19%
(4.53)
1X
81%
(1.19)
X2
47%
(2.06)
12
71%
(1.24)
Saudi Arabia
Al-Ittihad Jeddah
Al-Khaleej Saihat
1
1
50%
(1.5)
X
31%
(4.46)
2
19%
(5.24)
1X
81%
(1.13)
X2
50%
(2.39)
12
69%
(1.17)
Turkey
Istanbulspor
Igdir FK
2
1
19%
(3)
X
23%
(3.58)
2
58%
(2.01)
1X
42%
(1.65)
X2
81%
(1.31)
12
77%
(1.21)
UAE
Dibba Al Fujairah
Al-Nasr Dubai
2
1
20%
(3.51)
X
24%
(3.47)
2
56%
(1.87)
1X
44%
(1.73)
X2
80%
(1.24)
12
76%
(1.23)
Ukraine
Dinamo Kiev
Epitsentr Kamianets-Podilskyi
1
1
48%
(1.25)
X
32%
(5.44)
2
20%
(9.75)
1X
80%
(1.03)
X2
52%
(3.59)
12
68%
(1.11)
Ireland
Cork City
Bray Wanderers
1
1
51%
(1.44)
X
29%
(4)
2
20%
(6.23)
1X
80%
(1.09)
X2
50%
(2.42)
12
71%
(1.2)
UAE
Khor Fakkan Club
Al-Ain FC
2
1
20%
(7.18)
X
25%
(5.08)
2
55%
(1.31)
1X
45%
(2.91)
X2
80%
(1.07)
12
76%
(1.12)
Qatar
Umm-Salal SC
Al-Wakrah SC
2
1
20%
(3.51)
X
27%
(3.65)
2
53%
(1.83)
1X
48%
(1.8)
X2
80%
(1.23)
12
73%
(1.21)
Spain
Tenerife
Real Aviles
1
1
49%
(1.21)
X
31%
(5.48)
2
20%
(11.97)
1X
80%
(1.03)
X2
51%
(3.66)
12
69%
(1.11)
Singapore
Tampines Rovers
Hougang United FC
1
1
53%
(1.37)
X
27%
(4.67)
2
21%
(6.29)
1X
80%
(1.09)
X2
47%
(2.72)
12
73%
(1.14)
Ireland
Cobh Ramblers
Finn Harps
1
1
55%
(1.53)
X
24%
(4.14)
2
21%
(4.71)
1X
80%
(1.12)
X2
45%
(2.3)
12
76%
(1.18)
Algeria
JS Saoura
ES Ben Aknoun
1
1
42%
(1.65)
X
38%
(3.25)
2
21%
(5.16)
1X
79%
(1.11)
X2
58%
(2)
12
62%
(1.26)
Czech Republic
Dukla Prague
Slavia Prague
2
1
21%
(13.65)
X
24%
(6.08)
2
56%
(1.19)
1X
44%
(4.24)
X2
79%
(1.03)
12
77%
(1.1)
Colombia
Millonarios Bogota
Deportivo Pereira
1
1
45%
(1.44)
X
34%
(4.11)
2
21%
(7.11)
1X
79%
(1.08)
X2
55%
(2.61)
12
66%
(1.2)
Czech Republic
Usti nad Labem
Hanacka Slavia Kromeriz
1
1
52%
(1.74)
X
28%
(3.72)
2
21%
(3.8)
1X
79%
(1.21)
X2
49%
(1.94)
12
73%
(1.22)
Romania
Hermannstadt
FC Botosani
2
1
25%
(3.04)
X
21%
(3.1)
2
53%
(2.29)
1X
47%
(1.55)
X2
75%
(1.32)
12
79%
(1.32)
Saudi Arabia
Al-Shabab Riyadh
Al-Hilal Riyadh
2
1
29%
(6.67)
X
21%
(5.09)
2
50%
(1.35)
1X
50%
(2.93)
X2
71%
(1.08)
12
79%
(1.12)
Italy
Sampdoria
Bari
1
1
44%
(1.74)
X
35%
(3.35)
2
21%
(4.94)
1X
79%
(1.15)
X2
56%
(2.02)
12
65%
(1.29)
Ireland
Galway United FC
Sligo Rovers
1
1
42%
(1.69)
X
37%
(3.62)
2
21%
(4.77)
1X
79%
(1.16)
X2
58%
(2.04)
12
64%
(1.25)
Russia
Zenit Sankt Peterburg
Baltika Kaliningrad
1
1
44%
(1.56)
X
35%
(3.94)
2
22%
(7.3)
1X
78%
(1.11)
X2
57%
(2.53)
12
65%
(1.26)
Peru
Alianza Atletico
ADT Tarma
1
1
46%
(1.81)
X
33%
(3.11)
2
22%
(4.62)
1X
78%
(1.17)
X2
54%
(1.9)
12
67%
(1.31)
Israel
Maccabi Petah Tikva
Hapoel Afula
1
1
42%
(1.19)
X
36%
(5.65)
2
22%
(11.46)
1X
78%
(1.03)
X2
58%
(3.92)
12
64%
(1.1)
Ireland
Drogheda United
Shelbourne
2
1
22%
(3.25)
X
23%
(3.08)
2
55%
(2.22)
1X
45%
(1.59)
X2
78%
(1.31)
12
77%
(1.33)
Netherlands
TOP Oss
SC Cambuur
2
1
26%
(4.89)
X
22%
(4.13)
2
52%
(1.58)
1X
48%
(2.24)
X2
75%
(1.15)
12
78%
(1.21)
Netherlands
MVV Maastricht
De Graafschap
2
1
22%
(3.76)
X
26%
(4.21)
2
52%
(1.73)
1X
48%
(1.98)
X2
78%
(1.23)
12
74%
(1.2)
Switzerland
Aarau
Rapperswil-Jona
1
1
42%
(1.65)
X
36%
(3.81)
2
22%
(4.26)
1X
78%
(1.16)
X2
58%
(2.05)
12
64%
(1.2)
Bulgaria
Montana
Botev Plovdiv
2
1
23%
(3.46)
X
23%
(3.13)
2
54%
(2.1)
1X
46%
(1.65)
X2
77%
(1.27)
12
77%
(1.32)
Netherlands
Jong FC Utrecht
Almere City FC
2
1
23%
(2.83)
X
25%
(3.72)
2
52%
(2.18)
1X
48%
(1.62)
X2
77%
(1.38)
12
76%
(1.24)
Denmark
B.93 Copenhagen
Hvidovre
2
1
24%
(3.48)
X
24%
(3.48)
2
53%
(1.93)
1X
47%
(1.78)
X2
76%
(1.25)
12
76%
(1.27)
Turkey
Esenler Erokspor
Boluspor
1
1
43%
(1.44)
X
34%
(4.17)
2
24%
(5.7)
1X
76%
(1.1)
X2
57%
(2.46)
12
66%
(1.17)
Bulgaria
Slavia Sofia
CSKA 1948 Sofia
2
1
24%
(4.03)
X
26%
(3.46)
2
50%
(1.83)
1X
50%
(1.87)
X2
76%
(1.2)
12
74%
(1.27)
Czech Republic
Vysocina Jihlava
Artis Brno
2
1
24%
(3.36)
X
28%
(3.23)
2
48%
(1.99)
1X
53%
(1.7)
X2
76%
(1.27)
12
72%
(1.27)
Netherlands
Jong PSV
FC Dordrecht
2
1
24%
(3.09)
X
26%
(3.83)
2
50%
(2.01)
1X
51%
(1.71)
X2
76%
(1.34)
12
74%
(1.22)
Switzerland
Bellinzona
Yverdon-Sport
2
1
30%
(2.96)
X
24%
(3.38)
2
46%
(2.11)
1X
54%
(1.6)
X2
70%
(1.32)
12
76%
(1.25)
England
Wolverhampton
Aston Villa
2
1
26%
(4.03)
X
25%
(3.66)
2
50%
(1.91)
1X
50%
(1.88)
X2
75%
(1.24)
12
76%
(1.28)
Australia
Melbourne Victory
Adelaide United
1
1
46%
(1.65)
X
28%
(4.26)
2
26%
(4.41)
1X
74%
(1.19)
X2
54%
(2.14)
12
72%
(1.2)
Israel
Bnei Yehuda
Ironi Modi'in
1
1
43%
(1.59)
X
30%
(3.69)
2
28%
(4.77)
1X
72%
(1.14)
X2
57%
(2.1)
12
70%
(1.22)
Netherlands
ADO Den Haag
VVV-Venlo
1
1
43%
(1.21)
X
29%
(6.29)
2
28%
(10.21)
1X
72%
(1.04)
X2
57%
(3.89)
12
71%
(1.1)


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.