Frankrike mot Italy, Privatlandskamper

Tabell

Privatlandskamper 2018

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