Welcome to my 3rd annual PWHL All-NCAA (NC) production model and player ratings piece. The 2025 and 2024 models are referenced in the player evaluations alongside our annual PWHL Production models (2025-2026). During the first three PWHL seasons, these collections of data have been shared with some context as to their usefulness: How does a player and/or prospect’s production compare to their peers and how have the thresholds for Star+ and Replacement level production shift with an ever changing league?

With two proper drafts and eighty-four regular season games played, we can finally start replicating a Bader model’s ability to evaluate the probability of a player’s PWHL productivity impact. This model ranks players based on their D+0 (Draft Year) weighted scoring impact per game ([1*Goals+0.5*Assists]/Games Played) AKA  GC/GP, while also referencing their points-per-game in the same season. The model is weighted this way to reduce the impact of secondary assists and flatten the curve of players who benefit from a plethora of Star+ teammates. Additionally, with goal scoring overall at a premium in the PWHL, the ability to finish goals should be valued at a higher rate in player evaluations.

Considering this, the below rankings are also adjusted against the raw GC/GP based on two qualitative factors. 

1. Quality of Competition – Skaters in AHA (PSU aside), Hockey East, and NEWHA will usually be ranked lower than their peers in the NCHA and ECAC if two players have the same or +/- 5% GC/GP
2. Position – Defenders will almost always have lower GC/GP than forwards in the same tier (1-Superstar, 2-Star), so defenders will be ranked in the Top 10 based on their GC/GP, PPG, and probability of being a Star+ in the PWHL

The probability stat is omitted from the larger model due to the tedium of its need for manual calibration against three other data sets; however, it will be included for the Top 10. The probability calculations contrast players with similar D+0 season GC/GP, and quantify two outcomes:

1. The Chance this player will produce at a Star+ level in either of their first two seasons – Why? That is the only data available to contrast against at the moment
2. The Chance this player will produce at an Average+ level in either of their first two seasons – Why? An Average level producer would be able to contribute better than a rotational 4th liner or 3rd pairing defender 

1. Caroline “KK” Harvey – Wisconsin – D – Star Prob. 99% – Avg Prob. 99%

2. Abbey Murphy – Minnesota – F – Star Prob. 99% – Avg Prob. 99%

3. Kirsten Simms – Wisconsin – F– Star Prob. 99% – Avg Prob. 99%

4. Emma Peschel – Ohio State – D – Star Prob. 99% – Avg Prob. 99%

5. Lacey Eden – Wisconsin – F – Star Prob. 58% – Avg Prob. 99%

6. Tessa Janecke – Penn State – F – Star Prob. 58% – Avg Prob. 99%

7. Laila Edwards – Wisconsin – F – Star Prob. 58% – Avg Prob. 99%

8. Nelli Laitinen – Minnesota – D – Star Prob. 71% – Avg Prob. 99%

9. Sydney Morrow – Minnesota – D – Star Prob. 71% – Avg Prob. 99%

10. Isabel Wunder – Princeton – F – Star Prob 58% – Avg Prob. 99%

Name	POS	Team	GP	G	A	TP	PPG	GC/GP	F Rating	D Rating
Abbey Murphy	F	Univ. of Minnesota	31	40	26	66	2.13	1.71	1-Superstar
Kirsten Simms	F	Univ. of Wisconsin	31	26	33	59	1.9	1.37	1-Superstar
Lacey Eden	F	Univ. of Wisconsin	41	29	48	77	1.88	1.29	1-Superstar
Caroline Harvey	D	Univ. of Wisconsin	33	18	46	64	1.94	1.24		1-Superstar
Tessa Janecke	F	Penn State Univ.	31	26	22	48	1.55	1.19	1-Superstar
Isabel Wunder	F	Princeton Univ.	34	27	16	43	1.26	1.03	1-Superstar
Carina DiAntonio	F	Yale Univ.	36	26	22	48	1.33	1.03	1-Superstar
Laila Edwards	F	Univ. of Wisconsin	28	12	33	45	1.61	1.02	1-Superstar
Josefin Bouveng	F	Univ. of Minnesota	31	15	28	43	1.39	0.94	1-Superstar
Jordan Ray	F	Yale Univ.	36	17	32	49	1.36	0.92	1-Superstar
Elyssa Biederman	F	Colgate Univ.	36	19	25	44	1.22	0.88	1-Superstar
Lily Shannon	F	Northeastern Univ.	39	19	24	43	1.1	0.79	1-Superstar
Jade Iginla	F	Brown Univ.	32	17	16	33	1.03	0.78	1-Superstar
Sloane Matthews	F	Ohio State Univ.	41	20	24	44	1.07	0.78	1-Superstar
Emma Peschel	D	Ohio State Univ.	34	10	29	39	1.15	0.72		1-Superstar
Kyla Josifovic	F	Univ. of Connecticut	39	16	24	40	1.03	0.72	1-Superstar
Sena Catterall	F	Clarkson Univ.	35	17	16	33	0.94	0.71	1-Superstar
Alexis Petford	F	Colgate Univ.	36	18	15	33	0.92	0.71	1-Superstar
Madelyn Christian	F	Penn State Univ.	39	19	16	35	0.9	0.69	1-Superstar
Jamie Nelson	F	Univ. of Minnesota	39	11	31	42	1.08	0.68	1-Superstar
Sydney Healey	F	Boston Univ.	35	18	11	29	0.83	0.67	1-Superstar
Emerson Jarvis	F	Quinnipiac Univ.	41	17	21	38	0.93	0.67	1-Superstar
Thea Johansson	F	Univ. of Minnesota-Duluth	30	17	6	23	0.77	0.67	1-Superstar
Molly Henderson	F	Lindenwood Univ.	36	16	15	31	0.86	0.65	1-Superstar
Katelyn Roberts	F	Penn State Univ.	39	16	17	33	0.85	0.63	1-Superstar
Avi Adam	F	Cornell Univ.	33	12	17	29	0.88	0.62	1-Superstar
Georgia Schiff	F	Cornell Univ.	33	12	16	28	0.85	0.61	1-Superstar
Nelli Laitinen	D	Univ. of Minnesota	33	10	20	30	0.91	0.61		1-Superstar
Sydney Morrow	D	Univ. of Minnesota	39	8	30	38	0.97	0.59		1-Superstar
Jane Kuehl	F	Princeton Univ.	34	13	14	27	0.79	0.59	1-Superstar
India McDadi	F	Brown Univ.	34	11	17	28	0.82	0.57	1-Superstar
Kelly Harty	F	Univ. of New Hampshire	35	17	6	23	0.66	0.57	2-Star
Gracie Sacca	F	Stonehill College	35	10	19	29	0.83	0.56	1-Superstar
Reichen Kirchmair	F	Providence College	35	14	11	25	0.71	0.56	2-Star
Megan Woodworth	F	Univ. of Connecticut	39	16	11	27	0.69	0.55	2-Star
Sara Swiderski	D	Ohio State Univ.	33	8	19	27	0.82	0.53		1-Superstar
Alyson Hush	F	Univ. of New Hampshire	35	11	15	26	0.74	0.53	2-Star
Lara Beecher	F	Clarkson Univ.	35	12	13	25	0.71	0.53	2-Star
McKenna Van Gelder	F	Cornell Univ.	33	10	13	23	0.7	0.50	2-Star
Alexia Moreau	F	College of the Holy Cross	35	13	9	22	0.63	0.50	2-Star
Gracie Gilkyson	D	Yale Univ.	36	9	18	27	0.75	0.50		1-Superstar
Kendall Butze	D	Penn State Univ.	39	5	28	33	0.85	0.49		1-Superstar
Naomi Boucher	F	Yale Univ.	36	6	21	27	0.75	0.46	2-Star
Laurence Frenette	F	Quinnipiac Univ.	41	6	23	29	0.71	0.43	2-Star
Rhea Hicks	F	Clarkson Univ.	30	7	11	18	0.6	0.42	2-Star
Charlotte Sonntag	F	College of the Holy Cross	35	11	7	18	0.51	0.41	4-Average
Jules Constantinople	D	Northeastern Univ.	39	7	17	24	0.62	0.40		1-Superstar
Taylor Otremba	F	Minnesota State Univ.	38	7	16	23	0.61	0.39	2-Star
Grace Dwyer	D	Cornell Univ.	33	6	14	20	0.61	0.39		1-Superstar
Emerson O’Leary	F	Princeton Univ.	34	2	22	24	0.71	0.38	2-Star
Nina Christof	F	RPI (Rensselaer Poly In.)	21	5	6	11	0.52	0.38	4-Average
Alyssa Regalado	D	Cornell Univ.	33	6	13	19	0.58	0.38		1-Superstar
Payten Evans	D	Mercyhurst Univ.	37	8	12	20	0.54	0.38		1-Superstar
Avery Farrell	F	St. Cloud State Univ.	36	6	15	21	0.58	0.38	3-Fringe Star
Cristina Cavaliere	D	Providence College	31	2	19	21	0.68	0.37		1-Superstar
Grace Wolfe	D	St. Cloud State Univ.	37	6	15	21	0.57	0.36		1-Superstar
Lane Lewis	F	College of the Holy Cross	35	5	15	20	0.57	0.36	4-Average
Clara Yuhn	F	Boston Univ.	35	8	9	17	0.49	0.36	4-Average
Zoe Uens	D	Quinnipiac Univ.	41	10	9	19	0.46	0.35		2-Star
Sara Stewart	F	Colgate Univ.	36	9	7	16	0.44	0.35	4-Average
Stephanie Bourque	D	Union College	36	2	21	23	0.64	0.35		1-Superstar
Casey Borgiel	D	Colgate Univ.	36	4	17	21	0.58	0.35		1-Superstar
Brooke Campbell	F	Univ. of Connecticut	39	7	13	20	0.51	0.35	4-Average
Kate Ham	F	Boston College	35	10	4	14	0.4	0.34	4-Average
Jaden Bogden	F	Northeastern Univ.	32	7	7	14	0.44	0.33	4-Average
Luisa Welcke	F	Boston Univ.	28	5	8	13	0.46	0.32	4-Average
Vivian Jungels	D	Univ. of Wisconsin	39	4	17	21	0.54	0.32		1-Superstar
Sophie McKinley	F	Mercyhurst Univ.	36	8	6	14	0.39	0.31	4-Average
Lilli Welcke	F	Boston Univ.	28	6	5	11	0.39	0.30	4-Average
Leah Stecker	D	Penn State Univ.	39	3	17	20	0.51	0.29		1-Superstar
Kennedy Wilson	F	St. Lawrence Univ.	35	6	8	14	0.4	0.29	4-Average
Megan McKay	D	Clarkson Univ.	35	5	10	15	0.43	0.29		2-Star
Méghane Duchesne-Chalifoux	D	Univ. of Connecticut	33	3	12	15	0.45	0.27		2-Star
Christina Walker	F	Univ. of Connecticut	39	6	9	15	0.38	0.27	4-Average
Jade Maisonneuve	F	Mercyhurst Univ.	34	6	6	12	0.35	0.26	4-Average
Mya Vaslet	F	Penn State Univ.	36	5	9	14	0.39	0.26	4-Average
MaryKate O’Brien	F	Univ. of Minnesota-Duluth	38	3	14	17	0.45	0.26	4-Average
Sarah Davies	F	Providence College	35	6	6	12	0.34	0.26	4-Average
Alexa Davis	D	St. Lawrence Univ.	35	4	9	13	0.37	0.24		3-Fringe Star
Cally Dixon	F	Dartmouth College	31	5	4	9	0.29	0.23	4-Average
Jess Ciarrocchi	F	Mercyhurst Univ.	36	7	2	9	0.25	0.22	4-Average
Cora Webber	D	Saint Anselm College	38	2	12	14	0.37	0.21		3-Fringe Star
Tova Henderson	D	Univ. of Minnesota-Duluth	38	3	10	13	0.34	0.21		4-Average
Brooke Disher	D	Ohio State Univ.	41	2	13	15	0.37	0.21		3-Fringe Star
Mckayla Zilisch	F	Univ. of Wisconsin	28	4	3	7	0.25	0.20	4-Average
Charlotte Hallett	D	Syracuse Univ.	36	6	2	8	0.22	0.19		4-Average
Riley Walsh	F	Boston Univ.	34	2	8	10	0.29	0.18	4-Average
Kyley Toye	F	RPI (Rensselaer Poly In.)	35	5	2	7	0.2	0.17	4-Average
Kianna Roeske	D	Minnesota State Univ.	38	3	7	10	0.26	0.17		4-Average
Meredith Jensen	D	Dartmouth College	31	3	4	7	0.23	0.16		4-Average
Isabelle Powell	D	Dartmouth College	31	4	2	6	0.19	0.16		4-Average
Madison Chantler	F	Clarkson Univ.	35	3	5	8	0.23	0.16	4-Average
Jade Arnone	D	Boston College	35	2	7	9	0.26	0.16		4-Average
Svenja Voigt	F	St. Cloud State Univ.	29	2	5	7	0.24	0.16	4-Average
Lily Brazis	F	Northeastern Univ.	39	3	6	9	0.23	0.15	4-Average
Sophia Jones	D	RPI (Rensselaer Poly In.)	20	1	4	5	0.25	0.15		4-Average
Maeve Kelly	D	Boston Univ.	35	1	8	9	0.26	0.14		4-Average
Maya D’Arcy	D	Syracuse Univ.	37	1	8	9	0.24	0.14		4-Average
Krista Parkkonen	D	Univ. of Minnesota-Duluth	38	0	9	9	0.24	0.12		4-Average
Sarah Gendron	D	Syracuse Univ.	37	1	6	7	0.19	0.11		4-Average
Madison Michals	D	Merrimack College	19	1	2	3	0.16	0.11		4-Average
Ashley Messier	D	Univ. of Minnesota-Duluth	36	0	7	7	0.19	0.10		4-Average
Heidi Knoll	F	Syracuse Univ.	37	2	3	5	0.14	0.09	4-Average
Alejandra Franco	D	Univ. of Minnesota	37	1	4	5	0.14	0.08		4-Average
Maeve Carey	D	Boston Univ.	35	1	2	3	0.09	0.06		5-Replacement
Heidi Strompf	D	Bemidji State Univ.	11	0	1	1	0.09	0.05		5-Replacement