Peru mot Bolivia, Privatlandskamper

Tabell

Privatlandskamper 2022

#	Lag	K	MF	P	Flytt
1	Qatar	11	+5	22	–
2	Sør-Korea	9	+11	20	–
3	Bahrain	11	0	19	–
4	Peru	7	+8	16	↑2
5	Argentina	5	+19	15	↓1
6	Indonesia	5	+8	13	↓1
7	Algerie	6	+4	13	–
8	Nepal	7	+1	13	–
9	Brasil	4	+12	12	–
10	Usbekistan	5	+7	12	–
11	Colombia	4	+6	12	–
12	Jordan	6	+4	12	–
13	Burkina Faso	6	-2	12	–
14	Mauritania	5	+4	11	–
15	Mexico	9	0	11	–
16	Irak	6	0	11	–
17	Saudi-Arabia	10	-1	11	–
18	Uruguay	5	+9	10	–
19	Venezuela	5	+5	10	–
20	Malta	5	+3	10	–
21	Kuwait	6	+2	10	–
22	Ecuador	6	+2	10	–
23	Sør-Afrika	5	+1	10	–
24	Guatemala	7	0	10	–
25	Libya	6	0	10	–
26	Norge	3	+12	9	–
27	Kapp Verde	3	+9	9	–
28	Vietnam	3	+9	9	–
29	Spania	3	+8	9	–
30	Malaysia	4	+7	9	–
31	Maldives	3	+7	9	–
32	Belarus	3	+5	9	–
33	Egypt	4	+4	9	–
34	Australia	3	+4	9	–
35	Thailand	4	+3	9	–
36	Elfenbenskysten	6	+2	9	–
37	Suriname	4	+2	9	–
38	Gibraltar	4	+3	8	–
39	Marokko	5	+2	8	–
40	Rwanda	5	+2	8	–
41	Paraguay	6	-2	8	–
42	Island	8	-9	8	–
43	Benin	3	+5	7	–
44	Cuba	4	+4	7	–
45	Japan	5	+3	7	–
46	Costa Rica	3	+3	7	–
47	Tyskland	3	+3	7	–
48	Tanzania	4	+2	7	–
49	Kroatia	3	+2	7	–
50	Canada	4	+1	7	–
51	Iran	4	+1	7	–
52	Singapore	5	-3	7	–
53	Panama	7	-4	7	–
54	Uganda	9	-5	7	–
55	Frankrike	2	+6	6	–
56	Kosovo	4	+5	6	–
57	England	2	+4	6	–
58	Dominica	2	+3	6	–
59	Sverige	2	+3	6	–
60	Guinea-Bissau	3	+2	6	–
61	Nicaragua	5	+2	6	–
62	Serbia	3	+2	6	–
63	Tyrkia	3	+1	6	–
64	Italy	3	0	6	–
65	Andorra	4	0	6	–
66	Laos	4	-1	6	–
67	Mali	6	-1	6	–
68	Albania	7	-2	6	–
69	Ghana	5	-4	6	–
70	Sierra Leone	5	-8	6	–
71	Togo	4	+2	5	–
72	Slovenia	3	+1	5	–
73	USA	4	+1	5	–
74	Oman	5	0	5	–
75	Tajikistan	4	0	5	–
76	Bangladesh	5	-3	5	–
77	Guinea	6	-4	5	–
78	Faroe Islands	4	-4	5	–
79	Trinidad and Tobago	3	+4	4	–
80	Guyana	3	+4	4	–
81	Tsjekkia	3	+4	4	–
82	Belgia	3	+2	4	–
83	Nederland	2	+2	4	–
84	Senegal	2	+2	4	–
85	Grenada	4	+1	4	–
86	Østerrike	2	+1	4	–
87	Latvia	2	+1	4	–
88	Polen	2	+1	4	–
89	Russland	2	+1	4	–
90	Rep. Of Ireland	3	0	4	–
91	Slovakia	3	0	4	–
92	Angola	3	0	4	–
93	Hellas	3	0	4	–
94	Montenegro	3	0	4	–
95	Ungarn	3	0	4	–
96	Hong Kong	3	0	4	–
97	Mauritius	4	0	4	–
98	Israel	4	-1	4	–
99	Gabon	3	-1	4	–
100	Sudan	5	-1	4	–
101	Georgia	3	-2	4	–
102	Honduras	5	-4	4	–
103	United Arab Emirates	5	-9	4	–
104	Armenia	4	-10	4	–
105	Portugal	1	+4	3	–
106	Bolivia	3	+2	3	–
107	Bahamas	2	+1	3	–
108	Danmark	2	+1	3	–
109	DR Kongo	3	+1	3	–
110	Northern Ireland	2	+1	3	–
111	Eswatini	1	+1	3	–
112	Bulgaria	3	0	3	–
113	Cambodia	2	0	3	–
114	Litauen	2	0	3	–
115	Bosnia-Hercegovina	2	0	3	–
116	Turks and Caicos Islands	2	-1	3	–
117	Comoros	3	-1	3	–
118	Ethiopia	4	-1	3	–
119	Azerbaijan	3	-1	3	–
120	Equatorial Guinea	4	-3	3	–
121	Tunisia	2	-3	3	–
122	Syria	4	-3	3	–
123	Zambia	5	-4	3	–
124	Burundi	3	-4	3	–
125	St. Vincent / Grenadines	4	-5	3	–
126	Brunei	4	-7	3	–
127	Lesotho	2	0	2	–
128	Skottland	3	-1	2	–
129	Finland	3	-2	2	–
130	Seychelles	3	-2	2	–
131	Kamerun	4	-3	2	–
132	Niger	4	-4	2	–
133	San Marino	5	-4	2	–
134	Jamaica	4	-6	2	–
135	Gambia	1	0	1	–
136	St. Lucia	1	0	1	–
137	Wales	1	0	1	–
138	Zimbabwe	1	0	1	–
139	FYR Macedonia	2	-1	1	–
140	Mongolia	2	-1	1	–
141	Dominican Republic	2	-2	1	–
142	Romania	3	-2	1	–
143	Central African Republic	2	-2	1	–
144	Luxembourg	3	-3	1	–
145	Mozambique	4	-3	1	–
146	Sveits	3	-3	1	–
147	Myanmar	3	-4	1	–
148	Chile	4	-5	1	–
149	Estonia	2	-5	1	–
150	New Zealand	5	-6	1	–
151	Timor-Leste	4	-7	1	–
152	India	5	-9	1	–
153	Liberia	5	-9	1	–
154	Chinese Taipei	0	0	0	–
155	Madagascar	0	0	0	–
156	Malawi	0	0	0	–
157	Papua New Guinea	0	0	0	–
158	Puerto Rico	0	0	0	–
159	Haiti	1	-1	0	–
160	Pakistan	1	-1	0	–
161	St. Kitts and Nevis	1	-1	0	–
162	Turkmenistan	1	-1	0	–
163	Curaçao	2	-2	0	–
164	Afghanistan	1	-2	0	–
165	Botswana	2	-2	0	–
166	Cyprus	1	-2	0	–
167	Lebanon	1	-2	0	–
168	Congo	2	-3	0	–
169	Kazakhstan	2	-3	0	–
170	Kyrgyzstan	3	-4	0	–
171	Philippines	2	-4	0	–
172	Moldova	3	-6	0	–
173	Belize	2	-7	0	–
174	El Salvador	3	-8	0	–
175	Nigeria	5	-9	0	–
176	Liechtenstein	3	-9	0	–
177	Barbados	3	-15	0	–

Tabellen er beregnet rett etter denne kampen. Markøren viser endring fra tabellen før avspark.

Modellvurderingene er statistiske estimater fra Coros kampmodeller (Dixon-Coles, Elo og kalibrerte klassifiserere) og skal leses med synlig usikkerhet – ikke som fasit.