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Matt Lorito Elite Prospects ↗

Position: Forward DOB: 1990-07-03 Country: Canada
Signed Professionally
Grizzlys Wolfsburg · DEL

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
2009-10 Villanova Knights OJHL 56 32 46 78 1.393 0.3414 0.3285 0.9590 0.9228
2010-11 Villanova Knights OJHL 41 28 54 82 2.000 0.4902 0.4489 1.3770 1.2610
2021-22 Dinamo Riga KHL 17 3 4 7 0.412 1.0295 0.8105 5.6741 4.4669
2022-23 Grizzlys Wolfsburg DEL 18 2 3 5 0.278 0.6945 0.5637 2.3552 1.9116
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 Brown D1 ECAC SR 29 11 12 23 0.793
2013-14 Brown D1 ECAC JR 29 10 19 29 1.000
2012-13 Brown D1 ECAC SO 36 22 15 37 1.028
2011-12 Brown D1 ECAC FR 24 4 13 17 0.708
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
Actual FR PPG
0.71
2011-12 · Brown
+106.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D1
0%
NCAA D2/D3
98%
Pro / Other

NCAAe Rankings

#2932
Forward overall
#137
Forward born in 1990

D2/3 Comparables

Utica · 2023-24
1.480 Elite
actual D2/3 PPG
SUNY Morrisville · 2018-19
0.750 Strong
actual D2/3 PPG
Wisconsin-Stout · 2022-23
0.542 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.