Yeah, WNBA is mainly about the vets.
A few draftees are ready & performing well early, but not that many..
WNBA 2025 eWins etc. w. Playoffs
Re: WNBA 2025 eWins etc.
Playoffs round 2
https://www.basketball-reference.com/wn ... m-opponent
Ind 89 - 73 LVA
Pythagorean wins .89 - .11 , eWins .69 - .31
shooting : Ind .582 - .474 LV
rebounds : Ind 35 - 33 LV
turnovers : Ind 10 - 12 LV
Min 82 - 69 Phx
Pyth wins .86 - .14 , eWins .68 - .32
shooting : Min .513 - .448 Phx
rebounds : Min 42 - 35 Phx
turnovers : Phx 10 - 12 Min
https://www.basketball-reference.com/wn ... m-opponent
Ind 89 - 73 LVA
Pythagorean wins .89 - .11 , eWins .69 - .31
Code: Select all
eWin per36 rates tm min Eff% Sco Reb Ast Stl TO Blk e400
.25 Kelsey Mitchell Ind 34 .654 47.8 1.1 3.6 2.0 3.2 .0 2.94
.17 Natasha Howard Ind 22 .857 28.8 18.3 5.6 3.1 3.4 .0 3.12
.14 Odyssey Sims Ind 32 .586 23.9 2.3 3.9 3.2 1.1 .0 1.72
.13 A'ja Wilson LV 34 .327 14.7 14.1 .9 .0 3.2 4.3 1.48
.09 Aliyah Boston Ind 29 .333 8.5 13.9 7.1 .0 2.5 .0 1.20
.07 Dana Evans LV 23 .737 20.9 3.0 3.6 1.6 1.5 .0 1.29
.06 Chelsea Gray LV 34 .520 12.9 5.4 3.5 1.2 2.2 .0 .76
.06 Jackie Young LV 35 .576 19.7 7.4 1.7 .0 5.2 .0 .73
.01 Lexie Hull Ind 35 .429 6.1 2.1 2.4 .0 .0 1.0 .13
.01 Brianna Turner Ind 24 .750 9.4 2.8 .0 .0 1.4 1.4 .10
-.01 Jewell Loyd LV 28 .300 2.8 1.2 1.0 4.0 1.2 .0 -.15
rebounds : Ind 35 - 33 LV
turnovers : Ind 10 - 12 LV
Code: Select all
. Ind min PER WS/40 e400 . LVA min PER WS/40 e400
Hull 35 6.9 .075 .13 Young 35 17.5 -.044 .73
Mitchell 34 40.2 .421 2.94 Wilson 34 11.7 -.180 1.48
Sims 32 28.3 .301 1.72 Gray 34 17.9 .025 .76
Boston 29 8.7 .052 1.20 Loyd 28 3.2 -.081 -.15
Turner 24 12.7 .137 .10 Evans 23 31.3 .252 1.29
Howard 22 38.1 .515 3.12 Bell 16 -2.7 -.184 -.62
Peddy 10 13.4 .102 .57 Smith 15 13.1 -.064 .10
Powers 8 -19.8 -.351 -.46 Gustafson 8 29.1 .485 1.02
Timpson 4 37.3 .677 .98 P-Tyus 5 -8.0 -.285 -.80
totals 200 20.7 .224 1.39 totals 200 13.8 -.025 .61
min. correl. .14 .12 .17 < (1-7) > .27 -.07 .47
Min 82 - 69 Phx
Pyth wins .86 - .14 , eWins .68 - .32
Code: Select all
eWin per36 rates tm min Eff% Sco Reb Ast Stl TO Blk e400
.29 Co. Williams Min 33 .590 37.6 9.1 8.6 4.8 3.3 .0 3.54
.16 Alyssa Thomas Phx 37 .529 18.8 7.7 5.3 3.4 2.0 .0 1.75
.14 Kayla McBride Min 38 .538 21.4 6.0 2.1 .0 .0 1.0 1.51
.13 Napheesa Collier Min 34 .563 25.0 10.0 2.4 .0 3.2 .0 1.57
.07 Satou Sabally Phx 32 .385 9.0 6.6 2.6 2.6 .0 .0 .86
.05 Kahleah Copper Phx 37 .478 18.4 1.9 .8 .0 2.0 .0 .50
.04 Bridget Carleton Min 30 .500 6.9 10.0 4.0 .0 1.2 .0 .57
.02 Sami Whitcomb Phx 24 .611 18.4 4.0 2.1 .0 5.6 .0 .40
.02 Alanna Smith Min 26 .333 5.7 8.6 4.6 .0 4.2 1.4 .30
.00 DeWanna Bonner Phx 25 .000 .0 11.7 2.1 .0 1.3 .0 .00
eWin per36 rates tm min Eff% Sco Reb Ast Stl TO Blk e400
-.01 Na. Hiedeman Min 18 .313 8.9 .0 4.0 .0 3.6 .0 -.18
-.01 Mo. A Makani Phx 22 .167 1.6 1.6 3.8 .0 .0 .0 -.25
rebounds : Min 42 - 35 Phx
turnovers : Phx 10 - 12 Min
Code: Select all
. Phx min PER WS/40 e400 . Min min PER WS/40 e400
Thomas 37 26.8 .183 1.73 McBride 38 21.3 .297 1.52
Copper 37 11.2 -.057 .49 Collier 34 19.7 .182 1.58
Sabally 32 13.7 .065 .85 Williams 33 37.0 .395 3.55
Bonner 25 -2.1 -.079 -.02 Carleton 30 7.8 .149 .58
Whitcomb 24 11.5 -.060 .39 Smith 26 2.8 -.013 .31
A Makani 22 -1.2 -.159 -.25 Hiedeman 18 -2.9 -.162 -.18
Mack 12 28.5 .253 .98 Shepard 11 3.9 .069 -.01
Westbeld 10 2.8 -.034 .07 Kliundikova 8 53.2 .702 3.00
totals 200 12.1 .013 .63 totals 200 17.1 .190 1.37
min. correl. .09 -.08 .38 (1-7) .71 .62 .68
Re: WNBA 2025 eWins etc.
Min 1 - 1 Phx
avg score 82.5 - 79.0
Pyth wins 1.22 - .78 , eWins 1.11 - .89
shooting : Min .517 - .486 Phx
rebounds: Min 39.5 - 36.0 Phx
turnovers: Phx 12.0 - 14.5 Min
LVA 1 - 1 Ind
avg score 81.5 - 78.5
Pyth wins 1.20 - .80 , eWins 1.10 - .90
shooting : Ind .541 - .534 LV
rebounds: Ind 32.5 - 31.5 LV
turnovers: LV 13.0 - 14.0 Ind
" corell. 8 " : corellations between minutes and rates for the top 8 players in the list
avg score 82.5 - 79.0
Pyth wins 1.22 - .78 , eWins 1.11 - .89
Code: Select all
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e425
.41 Co. Williams Min 35 .544 32.5 8.7 8.4 3.9 5.3 .0 2.54
.33 Alyssa Thomas Phx 40 .500 20.5 7.6 8.6 2.0 2.8 .0 1.77
.27 Napheesa Collier Min 36 .538 24.7 8.3 1.5 1.4 2.0 1.0 1.60
.22 Kayla McBride Min 41 .600 22.8 3.5 2.3 .4 1.4 .5 1.16
.18 Satou Sabally Phx 35 .479 17.3 8.1 2.0 1.1 1.0 .0 1.09
.16 Alanna Smith Min 28 .567 13.8 10.5 5.1 .0 3.2 2.6 1.18
.12 Sami Whitcomb Phx 29 .545 17.9 4.3 4.4 1.3 3.5 .0 .86
.09 Natasha Mack Phx 16 .714 13.5 9.4 2.1 1.2 .0 1.1 1.18
.08 Kathryn Westbeld Phx 13 .800 13.9 9.0 1.2 6.7 1.2 .0 1.41
.07 Kahleah Copper Phx 35 .484 15.6 1.6 2.0 .6 1.6 .0 .43
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e425
.04 Ma. Kliundikova Min 8 .400 7.4 10.7 1.9 3.6 .0 2.0 1.20
.04 Mo. Akoa Makani Phx 21 .458 10.8 3.6 4.9 .0 2.6 .0 .37
.03 Jessica Shepard Min 14 .500 7.3 10.1 3.4 .0 2.3 .0 .44
.02 Bridget Carleton Min 36 .269 2.5 7.3 2.0 1.0 1.0 .5 .09
-.02 DeWanna Bonner Phx 26 .154 1.4 8.2 1.9 .7 2.0 .0 -.13
-.03 Na. Hiedeman Min 17 .313 4.5 1.1 2.9 .0 2.9 .0 -.44
rebounds: Min 39.5 - 36.0 Phx
turnovers: Phx 12.0 - 14.5 Min
Code: Select all
. Phx min PER WS/40 e400 . Min min PER WS/40 e400
Thomas 80 22.9 .191 1.77 McBride 81 19.7 .194 1.16
Sabally 70 15.1 .099 1.09 Collier 72 21.6 .163 1.60
Copper 69 8.9 -.004 .43 Carleton 71 4.5 .030 .09
Whitcomb 58 13.5 .047 .86 Williams 69 27.0 .193 2.54
Bonner 51 -4.1 -.149 -.13 Smith 56 15.5 .126 1.18
A. Makani 41 8.4 -.002 .37 Hiedeman 33 -2.2 -.165 -.44
Mack 31 23.6 .272 1.18 Shepard 27 9.8 .064 .44
Westbeld 25 27.4 .283 1.41 Kliundikova 15 25.9 .256 1.20
totals 425 13.7 .076 .89 . totals 425 16.0 .118 1.11
correl. 8 -.02 -.18 .23 correl. 8 .40 .34 .31
LVA 1 - 1 Ind
avg score 81.5 - 78.5
Pyth wins 1.20 - .80 , eWins 1.10 - .90
Code: Select all
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e400
.46 A'ja Wilson LV 33 .460 22.7 12.4 1.1 2.6 3.3 3.3 2.78
.30 Kelsey Mitchell Ind 33 .559 26.1 1.1 4.3 2.4 3.4 .0 1.84
.22 Odyssey Sims Ind 32 .603 19.9 1.1 5.5 2.4 4.0 .0 1.36
.19 Natasha Howard Ind 23 .691 14.5 13.9 3.1 2.5 3.9 .0 1.72
.18 Dana Evans LV 21 .648 20.1 2.5 4.7 1.5 .8 .0 1.72
.18 Chelsea Gray LV 32 .475 10.9 3.5 7.8 2.1 2.8 .0 1.12
.18 Aliyah Boston Ind 30 .444 9.5 14.3 4.8 .0 3.1 .0 1.21
.16 Jackie Young LV 34 .571 17.9 6.7 3.7 .0 4.3 .0 .94
.14 NaLyssa Smith LV 23 .627 17.8 7.3 .8 .7 1.6 .0 1.21
.09 Lexie Hull Ind 32 .456 11.4 2.8 2.2 .0 .0 .6 .55
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e400
.02 Megan Gustafson LV 8 .598 11.9 6.0 .0 .0 .0 .0 .51
.01 Kierstan Bell LV 13 .400 5.1 1.3 2.6 2.5 .0 .0 .21
.00 Shey Peddy Ind 14 .571 8.8 2.2 1.1 .0 1.1 1.1 .01
-.02 Jewell Loyd LV 27 .649 8.5 3.2 1.2 1.8 2.5 .0 -.12
-.03 Aerial Powers Ind 8 .100 1.7 6.2 .0 .0 2.1 .0 -.93
-.06 Brianna Turner Ind 25 .699 4.9 3.3 .0 .7 2.1 .7 -.51
rebounds: Ind 32.5 - 31.5 LV
turnovers: LV 13.0 - 14.0 Ind
Code: Select all
. Ind min PER WS/40 e400 . LVA min PER WS/40 e400
Mitchell 65 25.0 .183 1.84 Young 67 16.3 .061 .94
Hull 64 10.7 .058 .55 Wilson 66 25.1 .112 2.78
Sims 64 22.9 .150 1.36 Gray 64 16.4 .088 1.12
Boston 59 13.1 .043 1.21 Loyd 54 8.3 .063 -.12
Turner 49 6.2 .004 -.51 Smith 45 21.2 .166 1.21
Howard 45 22.3 .185 1.72 Evans 41 28.8 .275 1.72
Peddy 28 9.5 .051 .01 Bell 26 10.1 .060 .21
Powers 15 -15.6 -.377 -.93 Gustafson 15 14.7 .215 .51
Timpson 7 20.2 .302 .01 Parker-Tyus 9 1.4 -.124 -.86
Hall 5 21.5 .237 1.23 Nye 5 -4.6 -.027 -1.33
. Stokes 5 -1.9 .007 -.79
totals 400 15.3 .088 .90 . totals 400 17.1 .107 1.10
corell. 8 .77 .75 .72 cor 8 .22 -.47 .44
Re: WNBA 2025 eWins etc. w. Playoffs
In lieu of BPM to give an idea of the competitive level of each series, I'm just taking the regular season SRS and the avg of the 2 teams.
I seem to recall that in most SPM, a team's SRS will be 4.2 times the avg player (or position) SPM; so an average Lynx player should be (8.72/4.2=) 2.08 BPM better than an avg WNBA player.
Just ranking the NBA players by PER, WS/48, and BPM, I get conversion rates. For each 1.0 of BPM , PER differs by 1.47, WS/40 by .020, e400 by .20:
The last 3 columns are the adjustments we can make to these 3 player stats, specific to these series.
After normalizing a series total PER to 15.0, and WS/40 to .100, then adding the strength of series adjustment, the Min-Phx players look like this:Player wins now sum to more than # of games, but the inferred point differentials should be unchanged.
I seem to recall that in most SPM, a team's SRS will be 4.2 times the avg player (or position) SPM; so an average Lynx player should be (8.72/4.2=) 2.08 BPM better than an avg WNBA player.
Just ranking the NBA players by PER, WS/48, and BPM, I get conversion rates. For each 1.0 of BPM , PER differs by 1.47, WS/40 by .020, e400 by .20:
Code: Select all
rd1 SRS SRS tm srsT /4.2 PER+ ws40+ e400+
Min 8.72 1.47 GSV 5.10 1.21 1.78 .024 .24
Atl 6.49 2.53 Ind 4.51 1.07 1.58 .021 .21
NYL 3.79 2.55 Phx 3.17 .75 1.11 .015 .15
LVA 2.59 2.02 Sea 2.31 .55 0.81 .011 .11
rd2 SRS SRS tm srsT /4.2 PER+ ws40+ e400+
Min 8.72 2.55 Phx 5.64 1.34 1.97 .027 .27
LVA 2.59 2.53 Ind 2.56 .61 0.90 .012 .12After normalizing a series total PER to 15.0, and WS/40 to .100, then adding the strength of series adjustment, the Min-Phx players look like this:
Code: Select all
. Phx min PER WS/40 e400 . Min min PER WS/40 e400
Thomas 80 25.1 .225 2.04 McBride 81 21.9 .227 1.43
Sabally 70 17.3 .129 1.36 Collier 72 23.8 .196 1.87
Copper 69 11.0 .024 .70 Carleton 71 6.6 .059 .36
Whitcomb 58 15.6 .076 1.13 Williams 69 29.2 .227 2.81
Bonner 51 -2.1 -.125 .14 Smith 56 17.6 .157 1.45
A. Makani 41 10.5 .026 .64 Hiedeman 33 - .3 -.142 -.17
Mack 31 25.9 .307 1.45 Shepard 27 11.9 .094 .71
Westbeld 25 29.7 .319 1.68 Kliundikova 15 28.1 .291 1.47
totals 425 15.9 .106 1.16 totals 425 18.1 .149 1.38
Re: WNBA 2025 eWins etc. w. Playoffs
LVA 2 - 1 Ind
avg score 82.3 - 76.3
Pyth wins 2.07 - .93 , eWins 1.79 - 1.21
shooting : LV .546 - .501 Ind
rebounds: Ind 34.7 - 29.7 LV
turnovers: LV 13.3 - 14.0 Ind
Phx 2 - 1 Min
avg score 80.7 - 80.3
Pyth wins 1.53 - 1.47 , eWins 1.52 - 1.48
shooting : Min .511 - .507 Phx
rebounds: Phx 36.3 - 36.0 Min
turnovers: Phx 13.0 - 13.3 Min
Phx up 1 point, 1 rebound, 1 turnover. Min shooting better by 1 FT.
avg score 82.3 - 76.3
Pyth wins 2.07 - .93 , eWins 1.79 - 1.21
Code: Select all
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e400
.60 A'ja Wilson LV 35 .415 19.6 11.4 2.2 1.9 3.2 3.2 2.29
.37 Kelsey Mitchell Ind 34 .482 23.5 1.3 3.1 2.4 2.9 .0 1.46
.35 Jackie Young LV 34 .633 22.1 6.6 4.1 .3 4.4 .0 1.38
.33 Chelsea Gray LV 33 .576 13.2 3.5 7.5 1.9 2.6 .4 1.32
.28 NaLyssa Smith LV 26 .613 18.8 6.5 .5 .8 1.4 1.9 1.42
.27 Lexie Hull Ind 32 .544 13.4 5.3 2.9 .4 .4 1.1 1.10
.24 Aliyah Boston Ind 32 .400 10.0 11.3 4.4 .4 3.0 .4 1.01
.23 Dana Evans LV 21 .667 19.0 2.2 5.9 1.4 2.1 .0 1.44
.21 Natasha Howard Ind 20 .639 13.7 13.0 2.3 2.0 3.0 .0 1.43
.17 Odyssey Sims Ind 28 .500 15.8 2.5 5.1 2.0 4.4 .0 .82
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e400
.07 Megan Gustafson LV 7 .688 16.0 8.9 .0 1.2 .0 .0 1.31
.03 Makayla Timpson Ind 8 .636 8.7 6.0 .0 1.4 2.5 2.5 .47
.02 Kierstan Bell LV 11 .400 4.4 1.2 3.3 1.9 .0 1.1 .26
.01 Shey Peddy Ind 16 .640 10.4 2.5 1.9 .0 2.0 .7 .04
-.05 Aerial Powers Ind 9 .125 2.2 4.9 1.3 .0 1.3 .0 -.72
-.06 Brianna Turner Ind 20 .750 4.9 4.1 .0 1.2 2.2 .6 -.38
-.06 Jewell Loyd LV 26 .500 5.9 3.3 .9 1.6 2.2 .4 -.32
rebounds: Ind 34.7 - 29.7 LV
turnovers: LV 13.3 - 14.0 Ind
Code: Select all
. Ind min PER WS/40 e400 . LVA min PER WS/40 e400
Mitchell 102 17.9 .089 1.46 Wilson 104 16.8 .028 2.29
Boston 97 11.1 .004 1.01 Young 101 20.3 .147 1.38
Hull 97 16.5 .159 1.10 Gray 100 19.5 .166 1.32
Sims 83 14.9 .036 .82 Smith 78 21.0 .180 1.42
Turner 60 7.2 .010 -.38 Loyd 77 3.6 .013 -.32
Howard 60 21.6 .177 1.43 Evans 64 25.2 .247 1.44
Peddy 49 11.4 .099 .04 Bell 33 10.5 .087 .26
Powers 26 -10.7 -.251 -.72 Gustafson 22 25.9 .379 1.31
Timpson 24 17.1 .116 .47 Parker-Tyus 9 .7 -.100 -.18
Hall 5 21.0 .219 1.23 Nye 5 -3.6 -.009 -1.28
. Stokes 5 -1.5 .031 -.71
totals 600 13.8 .069 .81 totals 600 17.0 .126 1.19
corr w min 9 .46 .27 .71 8 .10 -.30 .48
Phx 2 - 1 Min
avg score 80.7 - 80.3
Pyth wins 1.53 - 1.47 , eWins 1.52 - 1.48
Code: Select all
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e417
.59 Alyssa Thomas Phx 39 .509 22.5 8.2 8.9 2.8 3.2 .6 2.12
.47 Co. Williams Min 36 .514 23.8 7.1 6.2 3.5 3.8 .0 1.84
.36 Napheesa Collier Min 36 .546 22.2 7.3 1.9 1.0 2.7 1.7 1.39
.30 Satou Sabally Phx 33 .548 22.8 7.2 1.5 .7 1.8 .0 1.26
.28 Kayla McBride Min 40 .574 18.4 3.5 2.9 1.0 1.2 .3 1.00
.17 Kahleah Copper Phx 35 .560 19.4 2.2 2.1 .3 2.1 .0 .67
.13 Alanna Smith Min 23 .447 9.8 8.8 4.5 .0 2.6 2.1 .80
.12 Sami Whitcomb Phx 27 .467 13.8 3.5 5.0 1.6 3.7 .0 .63
.12 Ma. Kliundikova Min 11 .545 11.1 10.7 1.8 1.9 .0 3.7 1.46
.10 Natasha Mack Phx 14 .625 8.8 10.9 1.6 .8 .8 2.4 .97
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e417
.10 Kathryn Westbeld Phx 13 .917 11.2 7.3 1.6 4.6 .8 .0 1.03
.09 Mo. Akoa Makani Phx 21 .500 12.1 5.2 4.5 .0 2.2 .0 .56
.08 Natisha Hiedeman Min 19 .522 16.9 1.8 3.3 1.2 2.9 .0 .62
.04 DeWanna Bonner Phx 24 .190 2.6 9.6 2.3 .9 1.4 .5 .25
.03 Jessica Shepard Min 11 .417 5.2 8.5 4.3 .9 2.7 .0 .35
.00 Bridget Carleton Min 33 .317 3.9 6.6 1.4 .8 1.5 .4 .02
rebounds: Phx 36.3 - 36.0 Min
turnovers: Phx 13.0 - 13.3 Min
Phx up 1 point, 1 rebound, 1 turnover. Min shooting better by 1 FT.
Code: Select all
. Phx min PER WS/40 e417 . Min min PER WS/40 e417
Thomas 116 26.0 .225 2.12 McBride 119 18.6 .171 1.00
Copper 106 12.2 .059 .67 Collier 109 19.5 .112 1.39
Sabally 100 18.5 .172 1.26 Williams 107 21.8 .128 1.84
Whitcomb 82 9.6 -.016 .63 Carleton 98 3.3 -.028 .02
Bonner 73 1.2 -.081 .25 Smith 68 11.1 .032 .80
A Makani 64 10.9 .053 .56 Hiedeman 56 13.8 .028 .62
Mack 43 18.8 .182 .97 Shepard 34 10.1 .015 .35
Westbeld 40 24.6 .277 1.03 Kliundikova 33 29.8 .314 1.46
totals 625 15.3 .103 1.01 totals 625 15.8 .093 .99
correl. w min .11 .05 .48 .20 .29 .47
Re: WNBA 2025 eWins etc. w. Playoffs
LVA 2 - 2 Ind
avg score 82.5 - 79.8
Pyth wins 2.36 - 1.64 , eWins 2.18 - 1.85
shooting : LV .553 - .510 Ind
rebounds: Ind 34.5 - 27.8 LV
turnovers: LV 13.8 - 14.0 Ind
The two centers in this series seem to bring out the best and worst in one another, on offense. They have shot both-good or both-bad in each game:
eff% = Pts/(fga*2 + fta)
Both players shooting 46% for the series but never close to that in a game.
avg score 82.5 - 79.8
Pyth wins 2.36 - 1.64 , eWins 2.18 - 1.85
Code: Select all
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e400
.78 A'ja Wilson LV 35 .462 21.9 10.2 2.2 2.4 3.1 3.1 2.23
.53 Jackie Young LV 35 .658 24.2 5.8 5.0 .2 3.7 .0 1.54
.51 Aliyah Boston Ind 33 .460 13.5 13.0 4.9 .9 2.8 .8 1.57
.45 Kelsey Mitchell Ind 35 .497 23.3 1.8 3.5 1.7 2.9 .0 1.28
.37 Chelsea Gray LV 35 .535 13.2 2.9 7.3 2.5 3.2 .3 1.06
.29 Odyssey Sims Ind 27 .561 19.7 2.4 4.9 1.8 4.1 .0 1.06
.29 Lexie Hull Ind 34 .458 10.6 6.0 2.5 1.5 .8 1.1 .85
.28 NaLyssa Smith LV 25 .639 19.9 5.5 .3 .7 2.2 1.8 1.12
.24 Dana Evans LV 19 .627 19.4 1.8 5.0 1.2 1.8 .0 1.23
.21 Natasha Howard Ind 22 .577 13.6 11.2 2.2 1.4 3.4 .0 .98
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e400
.10 Shey Peddy Ind 16 .676 13.7 3.6 2.1 1.1 2.1 .5 .59
.05 Megan Gustafson LV 9 .650 13.1 6.2 .0 .8 .9 .0 .50
.03 Kierstan Bell LV 10 .583 7.2 0.9 2.7 1.8 .0 .9 .33
.02 Makayla Timpson Ind 9 .636 7.3 6.5 .0 2.0 2.8 1.9 .26
-.01 Brianna Turner Ind 17 .786 6.6 4.4 .0 1.6 2.0 .5 -.08
-.05 Aerial Powers Ind 7 .125 1.0 5.0 1.3 .0 1.2 .0 -.67
-.07 Jewell Loyd LV 28 .452 5.6 3.2 .6 1.5 1.9 .6 -.25
rebounds: Ind 34.5 - 27.8 LV
turnovers: LV 13.8 - 14.0 Ind
Code: Select all
. Ind min PER WS/40 e400 . LVA min PER WS/40 e400
Mitchell 141 17.8 .106 1.28 Wilson 140 21.4 .069 2.23
Hull 135 12.5 .095 .85 Young 139 21.2 .182 1.54
Boston 130 17.9 .109 1.57 Gray 138 16.8 .108 1.06
Sims 108 18.2 .109 1.06 Loyd 110 3.4 -.019 -.25
Howard 86 15.6 .102 .98 Smith 100 17.3 .118 1.12
Turner 69 8.7 .040 -.08 Evans 77 21.2 .184 1.23
Peddy 65 15.0 .147 .59 Bell 39 11.9 .111 .33
Timpson 35 13.0 .091 .26 Gustafson 37 13.1 .178 .50
Powers 28 -10.1 -.226 -.67 P-Tyus 9 -.1 -.127 -.30
Hall 5 21.0 .219 1.44 Stokes 6 -1.3 .015 -.66
Nye 5 -3.8 -.021 -1.12
totals 800 14.6 .091 .91 totals 800 16.2 .105 1.09
correl: 9 .54 .26 .80 8 .32 -.21 .53
Code: Select all
. Aliyah Boston A'ja Wilson
G FGA FTA Pts eff% FGA FTA Pts eff%
1 9 0 6 .333 22 5 16 .327
2 9 0 10 .556 18 4 25 .625
3 16 2 12 .353 20 1 13 .317
4 15 13 24 .558 24 6 31 .574
- - combined - -
G FGA FTA Pts eff%
1 31 5 22 .328
2 27 4 35 .603
3 36 3 25 .333
4 39 19 55 .567 Both players shooting 46% for the series but never close to that in a game.
Re: WNBA 2025 eWins etc. w. Playoffs
Phx 3 - 1 Min
avg score 82.0 - 80.5
Pyth wins 2.19 - 1.81 , eWins 2.10 - 1.90
shooting : Phx .516 - .507 Min
rebounds: Phx 36.8 - 35.5 Min
turnovers: Min 11.5 - 12.8 Phx
After double- and triple-checking at b-r.com, I cannot find a reason that Lynx have the better total PER in the series.
avg score 82.0 - 80.5
Pyth wins 2.19 - 1.81 , eWins 2.10 - 1.90
Code: Select all
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e413
.81 Alyssa Thomas Phx 38 .529 24.8 8.2 9.2 2.4 3.8 .5 2.18
.59 Co. Williams Min 35 .497 23.3 6.1 6.0 3.1 2.9 .0 1.73
.46 Kayla McBride Min 39 .586 21.7 3.5 2.6 .9 .9 .5 1.21
.46 Satou Sabally Phx 34 .578 24.8 7.0 1.9 .5 1.9 .0 1.38
.34 Napheesa Collier Min 27 .546 22.1 7.1 1.8 1.0 2.7 1.7 1.29
.19 Kahleah Copper Phx 35 .533 18.6 2.8 1.6 .3 2.4 .0 .57
.18 Alanna Smith Min 24 .500 10.6 9.5 3.6 .4 2.3 2.3 .81
.15 Sami Whitcomb Phx 27 .436 11.9 4.1 4.9 1.3 2.9 .0 .56
.15 Natasha Mack Phx 14 .538 10.5 12.8 2.1 .7 1.4 2.7 1.12
.14 Ma. Kliundikova Min 12 .412 9.1 12.5 2.7 1.4 .7 3.6 1.25
eWin per36 rates tm mpg Eff% Sco Reb Ast Stl TO Blk e413
.14 Kathryn Westbeld Phx 13 .778 12.0 9.3 1.4 4.2 .7 .0 1.15
.13 DeWanna Bonner Phx 25 .362 5.9 9.5 2.1 1.1 1.0 1.0 .53
.12 Jessica Shepard Min 18 .528 11.4 8.2 3.2 1.5 2.5 .0 .72
.08 Natisha Hiedeman Min 19 .435 13.0 2.3 4.1 .9 2.7 .4 .45
.08 Mo. Akoa Makani Phx 21 .458 10.0 4.5 4.4 .0 1.7 .0 .38
-.02 Br. Carleton Min 32 .356 3.4 5.8 1.3 1.1 1.4 .6 -.07
rebounds: Phx 36.8 - 35.5 Min
turnovers: Min 11.5 - 12.8 Phx
Code: Select all
. Phx min PER WS/40 e400 . Min min PER WS/40 e400
Thomas 153 25.3 .212 2.18 McBride 157 21.9 .196 1.21
Copper 138 10.4 .033 .57 Williams 140 21.5 .117 1.73
Sabally 136 19.2 .192 1.38 Carleton 127 4.1 -.014 -.07
Whitcomb 109 8.5 -.004 .56 Collier 109 19.2 .084 1.29
Bonner 100 8.5 .040 .53 Smith 94 13.3 .068 .81
A Makani 85 8.1 .038 .38 Hiedeman 77 9.3 -.041 .45
Mack 54 18.6 .172 1.12 Shepard 70 13.4 .062 .72
Westbeld 50 22.4 .253 1.15 Kliundikova 47 21.0 .161 1.25
Kosu 3 10.7 .182 .64
totals 825 15.2 .111 1.05 totals 825 15.7 .085 .95
correl. 8 .01 .01 .39 8 .31 .43 .18