IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Matt Berry Elite Prospects ↗

Position: Forward DOB: 1992-08-18 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
2010-11 Muskegon Lumberjacks USHL 56 25 26 51 0.911 0.5598 0.5666 2.6831 2.7158
■ 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
2014-15 Michigan D1 BigTen — 29 12 17 29 1.000
2014-15 Michigan State D1 BigTen SR 29 12 17 29 1.000
2013-14 Michigan D1 BigTen — 23 10 7 17 0.739
2013-14 Michigan State D1 BigTen JR 23 10 7 17 0.739
2012-13 Michigan D1 CCHA-orig — 41 15 16 31 0.756
2012-13 Michigan State D1 BigTen SO 41 15 16 31 0.756
2011-12 Michigan D1 CCHA-orig — 37 11 8 19 0.513
2011-12 Michigan State D1 BigTen FR 37 11 8 19 0.513
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.53
before college
→
Actual FR PPG
0.51
2011-12 · Michigan
-2.6% vs. projection

NCAAe Rankings

#4390
Forward overall
#228
Forward born in 1992
#194
in USHL

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.66 Developing
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.71 Strong
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.43 Developing
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.56 Developing
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Geordan Buffoline
New England · 2017-18
1.667 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
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.