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Jake Jackson Elite Prospects ↗

Position: Forward DOB: 1994-12-05 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
2012-13 Waterloo Black Hawks USHL 2 1 0 1 0.500 0.3184 0.3270 1.4984 1.5391
2013-14 Des Moines Buccaneers USHL 42 2 6 8 0.191 0.1213 0.1189 0.5709 0.5597
2014-15 Nanaimo Clippers BCHL 52 24 30 54 1.038 0.4042 0.3874 1.5144 1.4514
■ 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
2018-19 Michigan Tech D1 WCHA SR 22 3 5 8 0.364
2017-18 Michigan Tech D1 WCHA JR 39 13 13 26 0.667
2016-17 Michigan Tech D1 WCHA SO 41 10 6 16 0.390
2015-16 Michigan Tech D1 WCHA FR 11 1 0 1 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.09
2015-16 · Michigan Tech
-62.1% vs. projection

NCAAe Rankings

#11416
Forward overall
#466
Forward born in 1994

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.44 Strong
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 Strong
actual D2/3 PPG
Luke Panchisin
SUNY Geneseo · 2022-23
1.154 Elite
actual D2/3 PPG
Tim Schneider
Middlebury · 2001-02
1.310 Elite
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.