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Jared Johnson Elite Prospects ↗

Position: Forward DOB: 1994-05-10 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 Cleveland Jr. Lumberjacks NA3HL 44 8 26 34 0.773 0.0970 0.0984 0.2439 0.2475
2013-14 Cleveland Jr. Lumberjacks NA3HL 48 29 52 81 1.688 0.2118 0.2067 0.5327 0.5198
■ 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
2017-18 Saint Mary's (MN) D3 MIAC SR 25 8 10 18 0.720
2016-17 Saint Mary's (MN) D3 MIAC JR 26 3 10 13 0.500
2015-16 Saint Mary's (MN) D3 MIAC SO 25 8 10 18 0.720
2014-15 Saint Mary's (MN) D3 MIAC FR 27 2 9 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.41
2014-15 · Saint Mary's (MN)
+191.2% vs. projection

NCAAe Rankings

#15946
Forward overall
#652
Forward born in 1994
#245
in NA3HL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Dennis Zak
UMass Boston · 2005-06
0.654 Strong
actual D2/3 PPG
Brendan Payne
Gustavus Adolphus · 2016-17
0.412 Average
actual D2/3 PPG
Louis DiMatteo
SUNY Cortland · 2015-16
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.