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Joey McGrath Elite Prospects ↗

Position: Forward DOB: 1998-02-26 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
2016-17 Kemptville 73's CCHL 50 9 10 19 0.380 0.0824 0.0831 0.2940 0.2966
2017-18 — CCHL 61 8 18 26 0.426 0.0924 0.0884 0.3298 0.3157
2018-19 Georgetown Raiders OJHL 20 1 1 2 0.100 0.0245 0.0222 0.0689 0.0623
■ 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
2019-20 Buffalo State D3 SUNYAC — 8 1 1 2 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.25
2019-20 · Buffalo State
+499.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
5%
NCAA D2/D3
75%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#42228
Forward overall
#2226
Forward born in 1998

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
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

Charlie Erickson
Wisconsin-Eau Claire · 2022-23
0.167 Developing
actual D2/3 PPG
Craig McCabe
Fredonia · 2018-19
0.182 Developing
actual D2/3 PPG
Sam Schultz
SUNY Plattsburgh · 2016-17
0.143 Developing
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.