Table 7.

Effective sample sizes (ESS) of posterior draws for parameters from Model (4), with ${\lambda }_3>0$

League	$T_k$	$T_k^{\prime }$	${\mu }_{\mathit{ks}}$	${\tau }_{\mathit{ks}}$	${\sigma }_{\mathrm{team},k}$	${\gamma }_k$
Austrian Bundesliga	5157	25,191	1567	31,518	993	431
Danish Superliga	10,080	29,180	2263	32,471	961	1293
English League Championship	2956	36,611	2166	34,905	1838	1748
English Premier League	7354	21,696	976	27,820	659	727
German 2. Bundesliga	5202	31,952	528	34,198	501	979
German Bundesliga	3262	43,122	1006	31,308	911	1096
Greek Super League	3337	39,304	2026	35,878	2061	1539
Italy Serie A	7205	13,276	1619	21,431	1158	963
Italy Serie B	6460	35,809	2145	37,667	1657	1333
Norwegian Eliteserien	1304	22,198	454	29,584	371	226
Portuguese Liga	6360	44,860	1542	36,093	1402	1755
Russian Premier Liga	6933	44,941	1247	36,397	1365	1490
Spanish La Liga	5951	19,471	789	31,242	428	243
Spanish La Liga 2	3197	38,104	2034	39,014	1849	1367
Swedish Allsvenskan	22,669	28,121	4988	37,235	968	1760
Swiss Super League	10,103	31,241	2426	38,500	1572	1109
Turkish Super Lig	20,777	24,891	5737	39,653	723	2545

For parameters that vary by season (${\mu }_{\mathit{ks}}$) or team and season (${\tau }_{\mathit{ks}}$) mean ESS values are presented