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Mason Kesselring Elite Prospects ↗

Position: Forward DOB: 2004-03-15 Country: USA

Set Commitment

School

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Detected conference: () — projections will update automatically.

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Projecting as:

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NCAA Division I

NCAA D3 / D2

Career Trajectory

Dashed = raw PPG · ■ Solid blue = age-adjusted NCAAe-PPG · ■ Green = actual college PPG

Junior Seasons

Season	Team	League	GP	G	A	Pts	PPG	NCAAe-PPG	Age-Adj	D3e-PPG	Age-Adj
2019-20	New Hampton	NE-Prep	34	1	6	7	0.206	0.0397	0.0397	0.0942	0.0942
2021-22	Cushing Academy	NE-Prep	27	13	11	24	0.889	0.1715	0.1715	0.4068	0.4068
2022-23	Chilliwack Chiefs	BCHL	50	21	19	40	0.800	0.3082	0.3131	1.1657	1.1843
2023-24	Fargo Force	USHL	23	1	5	6	0.261	0.1539	0.1453	0.7687	0.7257
2024-25	—	BCHL	52	25	28	53	1.019	0.3927	0.3612	1.4851	1.3660

■ Blue = NCAAe (D1 anchor) ■ Green = D3e (D3 anchor) COVID-flagged seasons highlighted in yellow

College Seasons (Historical)

Season	School	Div	Conference	Year	GP	G	A	Pts	PPG
2025-26	Curry	D3	CNE	—	20	5	10	15	0.750

Pre-College Projection vs. Actual Freshman Year

Projected PPG

0.24

before college

→

Actual FR PPG

0.75

2025-26 · Curry

+218.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%

NCAA D1

NCAA D2/D3

40%

Age-Out / Club

10%

Pro / Other

NCAAe Rankings

#14417

Forward overall

#680

Forward born in 2004

D1 Comparables

Carlos Amestoy

OHL · 2012-13 · 0.75 PPG

→ Maine

0.39 No data

NCAAe PPG

David Goodwin

USHL · 2012-13 · 0.67 PPG

→ Penn State (0.53 D1 FR PPG)

0.35 Average

NCAAe PPG

Dylan Walchuk

WHL · 2012-13 · 0.86 PPG

→ Northern Michigan (0.42 D1 FR PPG)

0.37 Average

NCAAe PPG

Jordan Nelson

USHL · 2012-13 · 0.59 PPG

→ Minnesota State (0.22 D1 FR PPG)

0.31 Developing

NCAAe PPG

Todd Skirving

USHL · 2012-13 · 0.80 PPG

→ RIT (0.65 D1 FR PPG)

0.43 Strong

NCAAe PPG

D2/3 Comparables

A.J. Shiverdecker

Westfield State · 2007-08

1.208 Elite

actual D2/3 PPG

Mitch Stephens

SUNY Geneseo · 2002-03

1.077 Elite

actual D2/3 PPG

Joel Covelli

Colby · 2004-05

1.042 Elite

actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.