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Jacob Pohl Elite Prospects ↗

Position: Forward DOB: 2004-08-13 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
2021-22 Milton Academy NE-Prep 20 7 8 15 0.750 0.1447 0.1447 0.3432 0.3432
2022-23 Milton Academy NE-Prep 27 18 20 38 1.407 0.2715 0.2715 0.6440 0.6440
■ 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 Amherst D3 NESCAC JR 25 2 4 6 0.240
2024-25 Amherst D3 NESCAC SO 25 3 7 10 0.400
2023-24 Amherst D3 NESCAC FR 16 2 2 4 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.25
2023-24 · Amherst
+32.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
35%
Other

NCAAe Rankings

#13817
Forward overall
#639
Forward born in 2004
#82
in NE-Prep

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.28 Average
NCAAe PPG
Jake Horton
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Colby Nichol
Augsburg · 2002-03
0.850 Strong
actual D2/3 PPG
Matthew Dougherty
Western New England · 2017-18
0.846 Strong
actual D2/3 PPG
Cade Hanley
UMass Dartmouth · 2017-18
0.667 Strong
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.