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Jarod Blackowiak Elite Prospects ↗

Position: Forward DOB: 1999-06-08 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
2014-15 Eden Prairie High USHS-MN 1 0 0 0 0.000 — — — —
2017-18 Mason City Toros NA3HL 33 15 21 36 1.091 0.1369 0.1411 — —
2018-19 North Iowa Bulls NA3HL 42 24 24 48 1.143 0.1434 0.1403 0.3608 0.3529
■ 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
2022-23 Augsburg D3 MIAC SR 26 9 11 20 0.769
2021-22 Augsburg D3 MIAC JR 30 13 12 25 0.833
2020-21 Augsburg D1 MIAC SO 3 1 0 1 0.333
2020-21 Augsburg D3 MIAC SO 3 1 0 1 0.333
2019-20 Augsburg D1 MIAC FR 26 4 7 11 0.423
2019-20 Augsburg D3 MIAC FR 26 4 7 11 0.423
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.42
2019-20 · Augsburg
+251.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
32%
Other

NCAAe Rankings

#20511
Forward overall
#1009
Forward born in 1999

D1 Comparables

Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
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
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Shane Tracy
Curry · 2013-14
0.353 Average
actual D2/3 PPG
Christian DiFelice
SUNY Plattsburgh · 2016-17
0.360 Average
actual D2/3 PPG
Tyler Lepore
SUNY Morrisville · 2013-14
0.391 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.