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Andrew Rinaldi Elite Prospects ↗

Position: Forward DOB: 1998-03-15 Country: Canada
Signed Professionally
Concordia Univ. · USports-M

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
2017-18 Wellington Dukes OJHL 53 25 33 58 1.094 0.2682 0.2563 0.7534 0.7201
2018-19 Wellington Dukes OJHL 48 29 34 63 1.312 0.3217 0.2917 0.9037 0.8194
2022-23 Concordia Univ. USports-M 0 0 0 0 0.000 — — — —
■ 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
2021-22 RIT D1 AHA JR 37 6 5 11 0.297
2020-21 RIT D1 AHA SO 11 0 0 0 0.000
2019-20 RIT D1 AHA FR 36 10 5 15 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.42
2019-20 · RIT
+75.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
8%
NCAA D2/D3
32%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#11077
Forward overall
#501
Forward born in 1998

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Tyler Bullard
Canton · 2015-16
0.957 Strong
actual D2/3 PPG
Tim Kielich
SUNY Brockport · 2014-15
1.192 Elite
actual D2/3 PPG
Ricky Carballo
Endicott · 2017-18
0.857 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.