Makayla Spejcher 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
2019-20	Bay Area Ice Bears	USHS-W	23	16	9	25	1.087	0.3269	0.3269	—	—
2020-21	Bay Area Ice Bears	USHS-W	18	13	8	21	1.167	0.3508	0.3508	—	—

■ 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	Concordia Wisconsin	D3	NCHA	SR	28	17	17	34	1.214
2024-25	Concordia (WI)	D3	—	—	27	16	17	33	1.222
2024-25	Concordia Wisconsin	D3	NCHA	JR	27	16	17	33	1.222
2023-24	Concordia (WI)	D3	—	—	25	12	12	24	0.960
2023-24	Concordia Wisconsin	D3	NCHA	SO	1	1	0	1	1.000
2022-23	Concordia (WI)	D3	—	—	27	15	11	26	0.963
2022-23	Concordia Wisconsin	D3	NCHA	FR	25	13	8	21	0.840

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.