Here is the final SportsIn medal table for the Milano Cortina 2026 Paralympic Games

SportsIn

March 16, 2026

The medal table developed by SportsIn provides an alternative interpretation of sporting performance at the Milano Cortina 2026 Paralympic Games by combining results with each country’s population and weighting the value of every medal. With the competition now concluded, the model introduces indicators such as medals per million inhabitants and the weighted 3-2-1/M index, which assigns different values to gold, silver and bronze before adjusting their impact to the demographic scale of each nation.

The conventional Paralympic ranking places China at the top after finishing with 44 medals, including 15 golds, ahead of the United States, which collected 24 podium finishes and 13 titles. Delegations such as Italy and the Russian Federation follow, having also maintained a consistent presence among the medals. This approach reflects the historic criteria of the Olympic and Paralympic movements, where the number of gold medals determines the main hierarchy of the medal table.

However, the analysis developed by SportsIn introduces a complementary perspective by assessing performance in relation to population size. This approach makes it possible to evaluate not only the absolute volume of results, but also each delegation’s competitive efficiency in proportional terms.

Austria leads the SportsIn ranking and stands out for its competitive efficiency

Under this model, Austria tops the final standings with a 3-2-1/M index of 3.187, based on its total of 13 medals relative to a population of fewer than ten million inhabitants. Norway and Switzerland follow, while other nations with smaller demographic bases climb positions in the relative reading of the medal table. Sweden, the Czech Republic and Ukraine rank among the delegations with the highest proportional impact, whereas traditional sporting powers occupy more modest positions in this adjusted ranking.

Adjusting results by population significantly reshapes the perception of Paralympic success. Delegations such as the United States or China, despite leading the overall medal table, record lower indices when their achievements are analysed proportionally. The 3-2-1 methodology applied by SportsIn also reinforces the overall value of all medals by assigning three points to gold, two to silver and one to bronze before adjusting them per million inhabitants. Each podium finish contributes to the final index and helps measure not only the ability to secure victories, but also the competitive depth of each delegation. In this way, the ranking provides a complementary reference to the traditional medal standings and redefines how sporting success is interpreted at the Milano Cortina 2026 Paralympic Games.

SportsIn Paralympic Games Ranking – Milano Cortina 2026

Rank	Country	🥇	🥈	🥉	Total	Pop. (M)	🥇/M	🥈/M	🥉/M	Total/M	3-2-1 Index/M
1	Austria	7	2	4	13	9.1	0.769	0.220	0.440	1.429	3.187
2	Norway	2	4	2	8	5.5	0.364	0.727	0.364	1.455	2.909
3	Switzerland	2	2	2	6	8.9	0.225	0.225	0.225	0.674	1.348
4	Sweden	3	0	4	7	10.5	0.286	0	0.381	0.667	1.238
5	Czech Republic	1	4	1	6	10.7	0.093	0.374	0.093	0.561	1.121
6	Ukraine	3	8	8	19	36.7	0.082	0.218	0.218	0.518	0.899
7	Netherlands	3	3	1	7	17.8	0.169	0.169	0.056	0.393	0.899
8	Finland	0	2	0	2	5.6	0	0.357	0	0.357	0.714
9	Italy	7	7	2	16	59	0.119	0.119	0.034	0.271	0.627
10	Canada	3	4	8	15	40.1	0.075	0.100	0.200	0.374	0.623
11	Slovakia	0	0	3	3	5.4	0	0	0.556	0.556	0.556
12	Belarus	1	1	0	2	9.2	0.109	0.109	0	0.217	0.543
13	Latvia	0	0	1	1	1.9	0	0	0.526	0.526	0.526
14	New Zealand	0	1	0	1	5.2	0	0.192	0	0.192	0.385
15	France	4	4	4	12	65.6	0.061	0.061	0.061	0.183	0.366
16	Germany	2	6	9	17	83.2	0.024	0.072	0.108	0.204	0.325
17	South Korea	2	4	1	7	51.7	0.039	0.077	0.019	0.135	0.290
18	Kazakhstan	1	0	1	2	19.6	0.051	0	0.051	0.102	0.204
19	Russian Federation	8	1	3	12	146	0.055	0.007	0.021	0.082	0.199
20	Spain	2	1	1	4	47.6	0.042	0.021	0.021	0.084	0.189
21	United States	13	5	6	24	333	0.039	0.015	0.018	0.072	0.165
22	Australia	0	1	1	2	26.6	0	0.038	0.038	0.075	0.113
23	Poland	0	1	1	2	37.7	0	0.027	0.027	0.053	0.080
24	China	15	13	16	44	1412	0.011	0.009	0.011	0.031	0.062
25	Japan	0	3	1	4	124.5	0	0.024	0.008	0.032	0.056
26	Great Britain	0	1	0	1	67	0	0.015	0	0.015	0.030
27	Brazil	0	1	0	1	203	0	0.005	0	0.005	0.010