FIFA World Cup
PANAM
Panama
06:00
England
ENGLA
83% Win Probability
FIFA World Cup
CROAT
Croatia
06:00
Ghana
GHANA
49% Win Probability
FIFA World Cup
COLOM
Colombia
08:30
Portugal
PORTU
47% Win Probability
FIFA World Cup
DEMOC
Democratic Rep Congo
08:30
Uzbekistan
UZBEK
56% Win Probability
FIFA World Cup
JORDA
Jordan
11:00
Argentina
ARGEN
84% Win Probability
FIFA World Cup
ALGER
Algeria
11:00
Austria
AUSTR
46% Win Probability
Chinese Super League
QINGD
Qingdao West Coast
19:00
Zhejiang Professional FC
ZHEJI
37% Win Probability
Chinese Super League
DALIA
Dalian Zhixing
20:00
Shanghai Shenhua
SHANG
37% Win Probability
Moldova Divizia Nation...
FC MI
FC Milsami
02:00
Zimbru Chisinau
ZIMBR
43% Win Probability
Estonia Champions Leag...
NOMME
Nomme JK Kalju
23:00
Paide Linnameeskond
PAIDE
48% Win Probability
Ireland Premier Divisi...
SLIGO
Sligo Rovers
03:45
Shelbourne
SHELB
53% Win Probability
Belarusian Premier Lea...
DINAM
Dinamo Brest
00:30
FC Minsk
FC MI
62% Win Probability
Belarusian Premier Lea...
DINAM
Dinamo Minsk
02:30
FK Vitebsk
FK VI
62% Win Probability
International Club Fri...
WOLFS
Wolfsberger AC
00:30
Nyiregyhaza
NYIRE
47% Win Probability
International Club Fri...
LEVSK
Levski Sofia
00:30
Botev Vratsa
BOTEV
66% Win Probability
International Club Fri...
SPART
Spartak Varna
00:30
FC Dunav Ruse
FC DU
41% Win Probability
International Club Fri...
FC ST
FC Struga Trim Lum
00:30
KS Dinamo Tirana
KS DI
41% Win Probability
International Club Fri...
NK NA
NK Nafta
00:30
FC Voluntari
FC VO
54% Win Probability
International Club Fri...
GALWA
Galway LFC (W)
01:00
Peamount Utd (W)
PEAMO
61% Win Probability
International Club Fri...
FC KO
FC Koper
01:00
Vllaznia Shkoder
VLLAZ
65% Win Probability

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FIFA World Rankings 2026 – Latest Country Rankings

Betiball.com's FIFA World Rankings page tracks the current standing of every national team in world football — updated after every official calculation cycle. Use ranking data alongside form and H2H records to sharpen your international match predictions.

#
FIFA Rankings
Last updated:
2026-06
Men Women Clubs
World Asia Europe South America Concacaf Africa Oceania
# Country Total pts Previous pts +/-
01.
# Spain (W)
2,105 2,093 +12
02.
# USA (W)
2,057 2,066 -9
03.
1
# Germany (W)
2,028 2,023 +5
04.
1
# England (W)
2,027 2,039 -12
05.
# Japan (W)
1,998 1,998 0
06.
1
# France (W)
1,983 1,975 +8
07.
1
# Brazil (W)
1,976 1,967 +9
08.
# Sweden (W)
1,937 1,950 -13
09.
# Canada (W)
1,936 1,936 0
10.
# Netherland (W)
1,911 1,930 -19
11.
# North Korea (W)
1,910 1,910 0
12.
# Denmark (W)
1,910 1,897 +13
13.
1
# Italy (W)
1,891 1,887 +4
14.
1
# Norway (W)
1,878 1,883 -5
15.
# Australia (W)
1,830 1,839 -9
16.
# China (W)
1,799 1,817 -18
17.
# Iceland (W)
1,792 1,786 +6
18.
# Belgium (W)
1,786 1,786 0
19.
# South Korea (W)
1,780 1,780 0
20.
# Colombia (W)
1,775 1,778 -3
21.
2
# Ireland (W)
1,769 1,750 +19
22.
1
# Portugal (W)
1,751 1,751 0
23.
1
# Austria (W)
1,749 1,748 +1
24.
2
# Finland (W)
1,744 1,732 +12
25.
1
# Scotland (W)
1,743 1,738 +5
26.
1
# Switzerland (W)
1,734 1,734 0
27.
2
# Russia (W)
1,718 1,700 +18
28.
1
# Mexico (W)
1,715 1,706 +9
29.
1
# Poland (W)
1,694 1,702 -8
30.
# Argentina (W)
1,682 1,702 -20
31.
# Wales (W)
1,668 1,684 -16
32.
1
# New Zealand (W)
1,645 1,653 -8
33.
1
# Czech Republic (W)
1,640 1,658 -18
34.
1
# Ukraine (W)
1,634 1,640 -6
35.
1
# Serbia (W)
1,633 1,637 -4
36.
# Nigeria (W)
1,601 1,602 -1
37.
# Vietnam (W)
1,593 1,593 0
38.
# Slovenia (W)
1,579 1,580 -1
39.
# Philippines (W)
1,566 1,566 0
40.
# Chinese Taipei (W)
1,565 1,565 0
41.
# Jamaica (W)
1,550 1,545 +5
42.
1
# Venezuela (W)
1,527 1,527 0
43.
1
# Costa Rica (W)
1,523 1,525 -2
44.
1
# Paraguay (W)
1,511 1,503 +8
45.
2
# Hungary (W)
1,506 1,496 +10
46.
5
# Turkey (W)
1,497 1,487 +10
47.
2
# Haiti (W)
1,490 1,482 +8
48.
4
# Chile (W)
1,486 1,513 -27
49.
1
# Thailand (W)
1,485 1,480 +5
50.
4
# Northern Ireland (W)
1,481 1,491 -10
51.
2
# Uzbekistan (W)
1,474 1,472 +2
52.
2
# Belarus (W)
1,473 1,473 0
53.
5
# Romania (W)
1,472 1,488 -16
54.
2
# Slovakia (W)
1,467 1,479 -12
55.
# Myanmar (W)
1,460 1,467 -7
56.
# Panama (W)
1,457 1,462 -5
57.
1
# South Africa (W)
1,451 1,451 0
58.
1
# Papua New Guinea (W)
1,450 1,450 0
59.
1
# Greece (W)
1,430 1,430 0
60.
1
# Ghana (W)
1,429 1,429 0
61.
2
# Ecuador (W)
1,418 1,391 +27
62.
1
# Uruguay (W)
1,418 1,415 +3
63.
3
# Croatia (W)
1,406 1,392 +14
64.
2
# Morocco (W)
1,402 1,406 -4
65.
1
# Zambia (W)
1,390 1,394 -4
66.
1
# Israel (W)
1,382 1,387 -5
67.
4
# Albania (W)
1,376 1,358 +18
68.
# Iran (W)
1,370 1,370 0
69.
# India (W)
1,368 1,367 +1
70.
3
# Bosnia and Herzegovina (W)
1,361 1,377 -16
71.
1
# Cameroon (W)
1,358 1,358 0
72.
# Ivory Coast (W)
1,338 1,338 0
73.
2
# Peru (W)
1,331 1,311 +20
74.
1
# Algeria (W)
1,318 1,318 0
75.
1
# Azerbaijan (W)
1,317 1,327 -10
76.
# Jordan (W)
1,299 1,298 +1
77.
# Puerto Rico (W)
1,294 1,294 0
78.
# El Salvador (W)
1,294 1,292 +2
79.
1
# Senegal (W)
1,286 1,285 +1
80.
1
# Fiji (W)
1,282 1,289 -7
81.
1
# China Hong Kong (W)
1,280 1,273 +7
82.
1
# Trinidad and Tobago (W)
1,269 1,269 0
83.
1
# Guatemala (W)
1,267 1,267 0
84.
1
# Mali (W)
1,263 1,260 +3
85.
4
# Kosovo (W)
1,262 1,276 -14
86.
2
# Montenegro (W)
1,250 1,234 +16
87.
1
# Samoa (W)
1,246 1,246 0
88.
1
# Nepal (W)
1,238 1,244 -6
89.
# Solomon Islands (W)
1,234 1,234 0
90.
# Equatorial Guinea (W)
1,229 1,229 0
91.
2
# Guyana (W)
1,217 1,217 0
92.
1
# Malta (W)
1,216 1,216 0
93.
1
# Dominican Republic (W)
1,211 1,211 0
94.
7
# Lithuania (W)
1,208 1,195 +13
95.
3
# Malaysia (W)
1,208 1,217 -9
96.
1
# Nicaragua (W)
1,205 1,205 0
97.
1
# Cuba (W)
1,204 1,204 0
98.
# Guam (W)
1,201 1,201 0
99.
# Egypt (W)
1,199 1,199 0
100.
3
# Kazakhstan (W)
1,199 1,203 -4
101.
1
# Estonia (W)
1,198 1,194 +4
102.
2
# Tunisia (W)
1,197 1,197 0
103.
7
# Faroe Islands (W)
1,187 1,169 +18
104.
# New Caledonia (W)
1,184 1,184 0
105.
2
# Latvia (W)
1,179 1,179 0
106.
1
# Democratic Rep Congo (W)
1,179 1,179 0
107.
5
# Bangladesh (W)
1,171 1,166 +5
108.
3
# Vanuatu (W)
1,168 1,168 0
109.
2
# Bulgaria (W)
1,166 1,168 -2
110.
4
# Indonesia (W)
1,162 1,173 -11
111.
3
# Republic of the Congo (W)
1,161 1,161 0
112.
3
# Bolivia (W)
1,153 1,161 -8
113.
4
# Cambodia (W)
1,153 1,149 +4
114.
1
# Luxembourg (W)
1,152 1,152 0
115.
1
# Tonga (W)
1,152 1,152 0
116.
8
# Bahrain (W)
1,146 1,168 -22
117.
4
# Laos (W)
1,142 1,142 0
118.
# Burkina Faso (W)
1,140 1,140 0
119.
14
# Moldova (W)
1,137 1,123 +14
120.
1
# Cape Verde (W)
1,131 1,131 0
121.
1
# American Samoa (W)
1,130 1,130 0
122.
1
# Tanzania (W)
1,129 1,129 0
123.
1
# Tahiti (W)
1,127 1,127 0
124.
1
# United Arab Emirates (W)
1,126 1,126 0
125.
1
# Namibia (W)
1,124 1,124 0
126.
# Honduras (W)
1,115 1,115 0
127.
# Zimbabwe (W)
1,114 1,113 +1
128.
# Kenya (W)
1,111 1,107 +4
129.
# Palestine (W)
1,111 1,103 +8
130.
# Lebanon (W)
1,100 1,100 0
131.
1
# Cook Islands (W)
1,099 1,099 0
132.
7
# Georgia (W)
1,098 1,116 -18
133.
1
# Togo (W)
1,092 1,092 0
134.
1
# Gambia (W)
1,082 1,082 0
135.
4
# Cyprus (W)
1,076 1,076 0
136.
# North Macedonia (W)
1,075 1,069 +6
137.
6
# Kyrgyzstan (W)
1,070 1,048 +22
138.
1
# Ethiopia (W)
1,068 1,068 0
139.
1
# Benin (W)
1,066 1,066 0
140.
1
# Suriname (W)
1,065 1,065 0
141.
1
# Turkmenistan (W)
1,063 1,063 0
142.
1
# Bermuda (W)
1,053 1,051 +2
143.
1
# Guinea (W)
1,048 1,048 0
144.
# Central African Republic (W)
1,045 1,045 0
145.
# Uganda (W)
1,036 1,036 0
146.
# Mongolia (W)
1,035 1,035 0
147.
2
# Armenia (W)
1,030 1,026 +4
148.
1
# Botswana (W)
1,029 1,029 0
149.
1
# Gabon (W)
1,028 1,028 0
150.
# Saint Kitts and Nevis (W)
1,026 1,026 0
151.
1
# Singapore (W)
1,025 1,019 +6
152.
1
# Sierra Leone (W)
1,021 1,021 0
153.
# Malawi (W)
1,018 1,018 0
154.
# Pakistan (W)
1,008 1,008 0
155.
# Angola (W)
989 989 0
156.
# Chad (W)
985 985 0
157.
3
# Saudi Arabia (W)
971 965 +6
158.
1
# Timor Leste (W)
965 965 0
159.
1
# Tajikistan (W)
954 954 0
160.
1
# St. Vincent Grenadines (W)
947 947 0
161.
3
# Bhutan (W)
933 925 +8
162.
1
# Syrian (W)
931 931 0
163.
# Barbados (W)
924 924 0
164.
1
# Saint Lucia (W)
923 923 0
165.
3
# Sri Lanka (W)
915 929 -14
166.
# Iraq (W)
910 910 0
167.
# Maldives (W)
906 907 -1
168.
# Belize (W)
903 905 -2
169.
# Rwanda (W)
892 892 0
170.
# Dominica (W)
884 884 0
171.
# Liberia (W)
882 882 0
172.
# Grenada (W)
878 878 0
173.
# Mozambique (W)
874 874 0
174.
# Niger (W)
863 863 0
175.
# Seychelles (W)
849 849 0
176.
# Macao China (W)
846 846 0
177.
1
# Guinea Bissau (W)
838 838 0
178.
1
# Lesotho (W)
836 837 -1
179.
1
# Burundi (W)
822 822 0
180.
1
# Curacao (W)
821 821 0
181.
2
# Andorra (W)
816 822 -6
182.
# Antigua Barbuda (W)
807 807 0
183.
# Aruba (W)
801 801 0
184.
# Swaziland (W)
797 797 0
185.
# US Virgin Islands (W)
790 790 0
186.
# Cayman Islands (W)
777 777 0
187.
2
# Comoros (W)
745 745 0
188.
1
# Libya (W)
739 739 0
189.
1
# Gibraltar (W)
734 732 +2
190.
# Liechtenstein (W)
725 729 -4
191.
# Madagascar (W)
724 721 +3
192.
# Anguilla (W)
681 681 0
193.
# Bahamas (W)
665 665 0
194.
# Sudan (W)
628 744 -116
195.
1
# South Sudan (W)
628 631 -3
196.
1
# Turks Caicos Islands (W)
627 627 0
197.
1
# Djibouti (W)
556 577 -21
198.
1
# Mauritius (W)
433 412 +21

How FIFA World Rankings Are Calculated

FIFA's ranking system weighs match results against opponent strength, match importance (friendly versus competitive), and recency — results from the last four years are included, with recent matches carrying greater weight. Betiball.com mirrors official FIFA data updates so the rankings shown here always reflect the latest confirmed calculation cycle.

Using FIFA Rankings in Match Predictions

Ranking gaps between two nations provide useful context for international fixtures — particularly in tournament qualification and group stage matches where head-to-head history may be limited. Betiball.com's prediction model factors in ranking differential alongside recent form and squad strength when generating international tips. Ranking position alone is never used as a standalone signal; it is one input among many.

Track International Fixtures on Betiball.com

Combine FIFA ranking data with today's football predictions to see how ranking context factors into our model's output for upcoming international fixtures, or browse FIFA World Cup predictions for tournament-specific analysis backed by the same data.

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