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Henri Schreifels Elite Prospects ↗

Position: Forward DOB: 2000-07-01 Country: USA
No commitment set

Set Commitment

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
2018-19 — BCHL 44 6 9 15 0.341 0.1313 0.1353 0.4958 0.5108
2019-20 Victoria Grizzlies BCHL 56 24 21 45 0.804 0.3096 0.3096 1.1688 1.1688
2020-21 Victoria Grizzlies BCHL 20 12 9 21 1.050 0.4046 0.4046 1.5271 1.5271
■ 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
2024-25 Stonehill D1 AHA — 33 6 12 18 0.545
2023-24 Stonehill D1 AHA — 36 8 8 16 0.444
2022-23 RPI D1 ECAC — 21 1 0 1 0.048
2021-22 RPI D1 ECAC — 18 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
2%
NCAA D2/D3
88%
Pro / Other

NCAAe Rankings

#16193
Forward overall
#717
Forward born in 2000
#649
in BCHL

D1 Comparables

Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Zander Allen
Framingham State · 2015-16
0.000 No data
actual D2/3 PPG
Matthew Headland
Canton · 2016-17
0.682 Strong
actual D2/3 PPG
Landon Brownlee
Middlebury · 2022-23
0.423 Average
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.