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Griffin Jurecki Elite Prospects ↗

Position: Forward DOB: 2003-05-03 Country: USA
No commitment set

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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
2019-20 Lincoln Stars USHL 2 0 0 0 0.000 — — — —
2020-21 Lincoln Stars USHL 33 2 5 7 0.212 0.1251 0.1251 0.6364 0.6364
2021-22 Lincoln Stars USHL 54 11 14 25 0.463 0.2731 0.2737 1.3893 1.3924
2022-23 Omaha Lancers USHL 56 14 11 25 0.446 0.2633 0.2502 1.3395 1.2729
■ 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
2026-27 Michigan State D1 BigTen SR 0 0 0 0 0.000
2025-26 Michigan State D1 BigTen JR 21 2 3 5 0.238
2024-25 Michigan D1 BigTen JR 26 0 2 2 0.077
2023-24 Michigan D1 BigTen SO 6 1 1 2 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.33
2023-24 · Michigan
+50.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

65%
NCAA D1
5%
NCAA D2/D3
15%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#22411
Forward overall
#1191
Forward born in 2003
#2366
in USHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG

D2/3 Comparables

Tyler Resch
Manhattanville · 2000-01
1.154 Elite
actual D2/3 PPG
Connor Inger
New England College · 2016-17
0.692 Strong
actual D2/3 PPG
Tyler Perkins
Finlandia · 2018-19
0.750 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.