Norge mot Panama, Privatlandskamper

Tabell

Privatlandskamper 2018

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