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Jack Engdahl Elite Prospects ↗

Position: Forward DOB: 1998-10-07 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
2017-18 New Hampshire Jr. Monarchs USPHL-Elite 39 33 24 57 1.462 0.1349 0.1284 0.3347 0.3187
2018-19 New Hampshire Jr. Monarchs USPHL-Premier 35 7 18 25 0.714 0.0934 0.0888 0.2424 0.2304
■ 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
2023-24 Post D2 NE10 — 29 7 9 16 0.552
2022-23 Post D2 NE10 — 28 0 4 4 0.143
2021-22 Post D2 NE10 — 27 4 9 13 0.481
2019-20 Post D1 NE10 FR 25 2 4 6 0.240
2019-20 Post D2 NE10 — 25 2 4 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.24
2019-20 · Post
+167.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#22167
Forward overall
#1069
Forward born in 1998

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Matthew Bernot
Skidmore · 2015-16
0.250 Developing
actual D2/3 PPG
Michael Talbot
St. Scholastica · 2017-18
0.400 Average
actual D2/3 PPG
Morris Schneider
Stevenson · 2024-25
0.158 Developing
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.