McKinley Karpa Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin Country: USA

Set Commitment

School

Type

Date (optional)

Detected conference: () — projections will update automatically.

Notes (optional)

Projecting as:

Show:

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
2017-18	Taft	NE-Prep-Girls	21	0	0	0	0.000	—	—	—	—

■ 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
2022-23	Colby	D3	NESCAC	—	26	9	10	19	0.731
2021-22	Colby	D3	NESCAC	—	23	8	11	19	0.826
2020-21	Colby	D3	NESCAC	—	0	0	0	0	0.000
2019-20	Colby	D3	NESCAC	—	24	7	10	17	0.708
2018-19	Colby	D3	NESCAC	—	7	5	0	5	0.714
2018-19	RIT	D1	CHA-W	—	5	0	0	0	0.000

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.