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Connor McGrath Elite Prospects ↗

Position: Forward DOB: 2003-09-04 Country: Canada
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 Weyburn Red Wings SJHL 3 0 1 1 0.333 0.1015 0.1015 0.2470 0.2470
2020-21 Weyburn Red Wings SJHL 4 1 0 1 0.250 0.0761 0.0761 0.1853 0.1853
2021-22 Humboldt Broncos SJHL 56 35 49 84 1.500 0.4569 0.4810 1.1117 1.1704
■ 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
2025-26 Ferris State D1 CCHA SR 31 2 7 9 0.290
2024-25 Ferris State D1 CCHA JR 26 0 8 8 0.308
2023-24 Ferris State D1 CCHA SO 28 1 3 4 0.143
2022-23 Ferris State D1 CCHA FR 33 8 6 14 0.424
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.42
2022-23 · Ferris State
+3.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
0%
NCAA D2/D3
28%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#6639
Forward overall
#234
Forward born in 2003
#8
in SJHL

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.43 Developing
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.46 Average
NCAAe PPG

D2/3 Comparables

Craig Levey
Hobart · 2000-01
1.038 Elite
actual D2/3 PPG
Taylor McCloy
Adrian · 2011-12
1.500 Elite
actual D2/3 PPG
Dustin Norman
Wisconsin-River Falls · 2002-03
0.850 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.