Player Efficiency Ratings

Adding to this, using PER you can work out EWA - or estimated wins added. Again, this is a slightly flawed stat in that it cannot take on-ball defence into account, but in this sim where the only guy who can notice those things is me (and where the difference in on-ball defence quality is not as large as the discrepancy in the NBA) I suppose that isn't as important.

I've also made a slight adjustment to the formula myself as our league is a bit different, but yeah, here are each of your EWAs.

Code:

						EWA
1	Siege Morgan	G-F	TIG		1.7
2	Alistair Son	G	HAM		1.5
3	Donald Boland	G	MOU		1.4
4	Lucas Schaw	F-G	PAN		1.3
5	LeBron Ames	F	HUR		1.3
6	Wes Welker	SF	MUS		1.3
7	Brett Hall	PF	TIG		1.1
8	Leumas Himann	C	HUR		1.1
9	Aaron Hunt	F-C	PAN		1.0
10	Truman Lee	PG	TIG		1.0
11	Dirk Diggler	G-F	COL		0.8
12	Mate Perry	SG	MOU		0.7
13	Rob Cribb	PG	SAB		0.7
14	Gareth Weaver	F-C	MOU		0.7
15	Steve Cambridge	PG	HUR		0.7
16	Bruce Force	PF	PB		0.7
17	Raptor Vince	F	MUS		0.6
18	Luke Tyson	SG	OCE		0.6
19	Ginger Furball	SF	HAM		0.5
20	Jonny Ridd	SG	HAM		0.5
21	Chad Dyer	PG	HUR		0.5
22	Samuel Yates	PG	PAR		0.4
23	Jake Howe	C-F	PAR		0.4
24	Cap'n Cock	G-F	PAR		0.4
25	Dexter Astele	PG	MUS		0.4
26	Marquis Deen	G-F	SAB		0.4
27	Brett Gemmell	G	MOU		0.4
28	Charlie Downes	F	PAR		0.4
29	Chris WarringtonC	HAM		0.4
30	Kelvin Fung	SF	HUR		0.4
31	James McDougal	F	COL		0.4
32	Sam Bakkum	SG	TIG		0.3
33	Jono Chewie	C	PAR		0.3
34	Clayton Evans	SG	SAB		0.3
35	Sticky Phlegm	SG	PAN		0.3
36	Reagan Wheelson	SF	HAM		0.3
37	Ali Farhat	G	HAM		0.3
38	Ryan Gayler	C-F	OCE		0.2
39	Regan HutchinsonG	PB		0.2
40	Morgan Burridge	PF	MUS		0.2
41	Damien Taylor	PG	OCE		0.2
42	Jordan Logan	PG	MUS		0.2
43	James Torres	SF	MOU		0.2
44	Matt James	G	PAN		0.2
45	Benny Read	G-F	MUS		0.2
46	Joshua Ritchie	PF	SAB		0.2
47	Ganja Shriram	SF	PB		0.1
48	CC Classified	SF	SAB		0.1
49	Paul Tazewell	PG	SAB		0.0
50	Paul Adams	SF	HUR		0.0
51	Andrew James	G	PAN		0.0
52	Aaron O'Neill	PG	MUS		0.0
53	Jonty Rhodes	SG	TIG		0.0
54	Ben Manera	PG	OCE		-0.1
55	John Hurricane	SG	PAR		-0.1
56	Ben Herd	SF	COL		-0.1
57	Luke Lukic	SF	MOU		-0.1
58	Os du Toit	C	SEA		-0.1
59	Shaquille O'NealC	PAN		-0.1
60	Tom Delonge	C	SAB		-0.1
61	Joy Wivillian	SG	COL		-0.1
62	Flame Boy	C	PAR		-0.1
63	Mu Amir		PF	MOU		-0.2
64	Ben Jacobs	C	MOU		-0.2
65	Ryu Yamadera	PF	TIG		-0.2
66	Theo Miokovic	PG	COL		-0.2
67	Boshtrich BurgerG	COL		-0.2
68	Coon Dog	PF	OCE		-0.2
69	Blake Quilty	PF	HAM		-0.2
70	Jon Anraad	SF	OCE		-0.2
71	SSD Dong	PG	PAR		-0.3
72	Peter Retzel	C	OCE		-0.3
73	Mike Nowitzki	PF	HAM		-0.3
74	Aby Dforum	SF	MUS		-0.3
75	Ether Starris	C	TIG		-0.3
76	Tom Clough	SF	SEA		-0.3
77	Zohaib Ikram	F	TIG		-0.3
78	Please Reframe	SF	OCE		-0.3
79	Alex O'Driscoll	F-C	HUR		-0.3
80	Ben Storer	F-G	SEA		-0.3
81	Eddie Morris	SF	PAR		-0.3
82	Niranjan GurupurPF	OCE		-0.3
83	Samuel Vimes	PF	COL		-0.4
84	Teddy Tiger	C	PB		-0.4
85	Ivan Ryabovol	PF	PAN		-0.4
86	Shane Masters	C	COL		-0.4
87	BMT Con		SF	PB		-0.4
88	Sam Verigotta	C	HUR		-0.4
89	Paul Oz		PF	MOU		-0.4
90	Ishan Narang	C-F	HAM		-0.4
91	C Ochocinco	G	SEA		-0.4
92	Henry Daman	PG	PB		-0.5
93	Jesse Harding	SG	PB		-0.5
94	Lloyd Townsend	SG	SEA		-0.6
95	Bill Kirk	C	SAB		-0.6
96	Callum Laing	PG	SEA		-0.6
97	James Hughes	PF	SEA		-0.7
98	Allan Izett	SF	SAB		-0.7
99	John Heads	PF	SEA		-0.7
100	Soumyanil Das	PF	PB		-0.8
101	Elliot Witters	G	HUR		-0.8
102	Zac MacDonald	SF	PAN		-0.8

Don't worry if you're low on this list, you clearly haven't been as bad as the best players have been good - so that's nice. This kind of stat is easily improved in our league too - we're 6 round into a 16 round season. Just stay active (practice) and hopefully it shows on the court soon!



Oh and the theory behind this stat is that if you remove a player from a team you could take their EWA of their record and have a somewhat accurate estimation of where they'd be without that player.

eg. The Tigers without Skippos could be 4-2 rather than 6-0

 

EWA will go higher as the season goes on? I can't remember

 

Correct. Increases as games are played.

 

EWA wins added is value above what a replacement player would do, assuming they're the definition of middle of the pack. A total of -1.1 would tell us that your team as a whole is worse than if you had an average player at every position.

 

Interesting, shows no difference between Burridge and Read

 

Yeah, basically.

Obviously it's not perfect, especially with a small sample size, but those guys are solid at at least one thing, so they're good starters/role players. If you're below that you're playing at the level of someone who's coming off the bench/is the fifth best starter.

These advanced stats shouldn't be taken as gospel, obv, as you want to make sure you've got players who can play cohesively together on the court at the same time, but it's a way to maybe see who needs a reduced workload or who can give you an extra boost with a couple of extra minutes.