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Back in the 1980’s, Bill James developed something he called “The Favorite Toy”.  It’s used to determine a player’s chance of reaching a statistical goal.  He developed it for baseball, along with many other statistical playthings.  Most of them are so specifically baseball oriented as to not be adaptable to any other sport, but The Favorite Toy can be used with very little modification.

Here’s how it works.

There are four things that need to be considered:

1 The need points.  The number of points needed to each the goal.  This could also be the need rebounds or need blocks or whatever stat is being considered.

2 The years remaining.  This is represented by a formula: 27-(.75*age).  Thus a 20 year old player has 12 years remaining, a 25 year old has 8.25, a 30 year old has 4.5.  Any player that plays regularly is considered to have 1.5 years remaining no matter what their age.  I used the player’s age as of July 1st.

3 The established point level.  It’s three times the most recent season’s point total plus two times the season before plus one times the season before that, divided by 6.  Sylvia Fowles, for example, scored 680 points in 2011, 606 points in 2010, and 270 points in 2009.  ((680*3)+(606*2)+270)/6 = 587, so that was her established point level.  Again, this could be the established rebound level or block level or whatever stat is under consideration.  Players in their first or second year get 0’s for the previous seasons in which they did not play.

4 The projected remaining points.  Multiply the years remaining by the established point level.  Once again, this could be rebounds or whatever.

Once you have the projected remaining, the chance of reaching the goal is (projected remaining divided by need) - .5.  If the need and the projected remaining are the same, the player would have a 50% chance of reaching the goal.  If the projected remaining is 20% higher than need, the chance would be 70%.

I’m sure that’s as clear as mud.  Feel free to ask questions!


Points

Player 5000 6000 7000 8000 9000 10000 10646 11000 12000 13000 14000 15000 16000 17000
DeWanna Bonner 8243 8243 8243 8243 35%
Breanna Stewart 6860 6860 99% 99% 82% 40% 25% 18% 5%
A'ja Wilson 6792 6792 99% 99% 99% 99% 89% 77% 53% 36% 24% 15% 8% 2%
Jewell Loyd 6365 6365 99% 33% 2%
Brittney Griner 6192 6192 12%
Kayla McBride 6164 6164 70% 5%
Kelsey Mitchell 5899 99% 99% 99% 90% 56% 42% 35% 21% 11% 4%
Skylar Diggins 5758 99% 5%
Tiffany Hayes 5305 24%
Jackie Young 99% 99% 99% 69% 44% 28% 20% 16% 8% 1%
Arike Ogunbowale 99% 99% 99% 65% 35% 18% 10% 6%
Allisha Gray 99% 99% 96% 47% 23% 8% 2%
Kahleah Copper 99% 99% 79% 37% 15% 2%
Rhyne Howard 99% 99% 77% 51% 34% 22% 16% 13% 6% 1%
Aliyah Boston 99% 99% 76% 53% 37% 26% 20% 17% 10% 4% 1%
Dearica Hamby 99% 99% 40% 13%
Kelsey Plum 99% 99% 39% 13%
Caitlin Clark 99% 91% 63% 45% 31% 21% 16% 14% 7% 2%
Sabrina Ionescu 99% 86% 48% 26% 12% 3%
Paige Bueckers 99% 86% 61% 44% 31% 21% 16% 14% 8% 3%
Marina Mabrey 99% 77% 40% 20% 7%
Jonquel Jones 99% 77% 22% 1%
Courtney Williams 99% 77% 23% 1%
Sonia Citron 99% 75% 53% 37% 26% 17% 12% 10% 5% 1%
Napheesa Collier 99% 70% 33% 13% 1%
Angel Reese 99% 68% 46% 31% 20% 12% 7% 5% 1%
Ariel Atkins 99% 48% 18% 2%
Chelsea Gray 99% 47% 1%
Alyssa Thomas 99% 44%
Natasha Howard 99% 37%
Shakira Austin 94% 59% 38% 24% 13% 6% 1%
Kiki Iriafen 91% 61% 42% 29% 18% 11% 6% 4%
Kamilla Cardoso 79% 50% 32% 19% 10% 3%
Dominique Malonga 70% 46% 31% 19% 11% 4% 1%
NaLyssa Smith 66% 36% 19% 7%
Veronica Burton 54% 31% 17% 7%
Carla Leite 53% 33% 19% 9% 2%
Olivia Miles 41% 24% 12% 3%
Brittney Sykes 40% 1%
Natisha Hiedeman 39% 15% 1%
Gabby Williams 37% 14% 1%
Janelle Salaun 36% 19% 8% 1%
Rae Burrell 32% 15% 4%
Flau'jae Johnson 25% 11% 2%
Bridget Carleton 24% 6%
Jordin Canada 24% 2%
Jade Melbourne 24% 9% 1%
Naz Hillmon 23% 8%
Courtney Vandersloot 22%
Azura Stevens 22% 1%
Rickea Jackson 17% 3%
Michaela Onyenwere 17% 1%
Brionna Jones 16%
Aaliyah Edwards 13% 1%
Satou Sabally 13%
Leila Lacan 11% 1%
Ezi Magbegor 11%
Jessica Shepard 11%
Olivia Nelson-Ododa 11%
Saniya Rivers 7%
Emily Engstler 7%
Diamond Miller 7%
Aneesah Morrow 6%
Sophie Cunningham 4%
Maddy Siegrist 4%

 

Rebounds

Player 3000 4000 4262 5000 6000 7000 8000 9000
DeWanna Bonner 3456 8%
Alyssa Thomas 3068 4%
A'ja Wilson 99% 99% 99% 50% 18% 1%
Angel Reese 99% 99% 92% 63% 39% 23% 12% 4%
Aliyah Boston 99% 66% 55% 34% 16% 4%
Kiki Iriafen 99% 55% 47% 30% 15% 4%
Jonquel Jones 99% 47% 28% 1%
Breanna Stewart 99% 44% 27% 1%
Dearica Hamby 99% 20% 9%
Kamilla Cardoso 89% 43% 35% 20% 6%
Shakira Austin 79% 35% 28% 13% 1%
NaLyssa Smith 69% 25% 19% 5%
Dominique Malonga 55% 25% 20% 8%
Jessica Shepard 51% 14% 8%
Natasha Howard 40%
Naz Hillmon 31% 5% 1%
Aneesah Morrow 31% 7% 3%
Ezi Magbegor 24%
Napheesa Collier 22%
Azura Stevens 20%
Emily Engstler 13%
Olivia Nelson-Ododa 12%
Brittney Griner 12%
Jackie Young 12%
Courtney Williams 9%
Aaliyah Edwards 6%
Natasha Mack 6%
Monique Billings 5%
Sonia Citron 2%
Rhyne Howard 2%
Veronica Burton 1%

 

Assists

Player 2000 3000 3234 4000 5000
Courtney Vandersloot 3034 3034 33%
Alyssa Thomas 2178 14% 1%
Chelsea Gray 2156 15% 1%
Caitlin Clark 99% 56% 46% 23% 6%
Jackie Young 99% 41% 30% 7%
Jordin Canada 99% 17% 8%
Natasha Cloud 99%
Skylar Diggins 99%
Courtney Williams 98%
Veronica Burton 96% 31% 24% 7%
Sabrina Ionescu 90% 12% 5%
Paige Bueckers 59% 16% 11%
Carla Leite 42% 8% 3%
Kelsey Plum 31%
Rhyne Howard 31%
Arike Ogunbowale 29%
Jade Melbourne 28%
Sonia Citron 25%
Natisha Hiedeman 17%
Olivia Miles 16%
Marina Mabrey 11%
Leila Lacan 7%
Angel Reese 7%
Julie Allemand 4%
Jessica Shepard 3%
Saniya Rivers 3%
Kelsey Mitchell 1%
Breanna Stewart 1%
A'ja Wilson 1%

 

 

All these are current as of the end of the 2026 season.