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Matt Coronato Elite Prospects ↗

Position: Forward DOB: 2002-11-14 Country: USA
2021 NHL Draft Round 1, Pick #13  ·  Calgary Flames Calgary Flames
Signed Professionally

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
2018-19 Salisbury School NE-Prep 29 15 19 34 1.172 0.3307 0.3307 0.5365 0.5365
2019-20 — USHL 45 18 22 40 0.889 0.5464 0.5464 2.6189 2.6189
2020-21 — USHL 51 48 37 85 1.667 1.0245 1.0245 4.9104 4.9104
■ 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
2022-23 Harvard D1 ECAC — 34 20 16 36 1.059
2021-22 Harvard D1 ECAC — 34 18 18 36 1.059
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
1.06
2021-22 · Harvard
+274.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan (0.25 D1 FR PPG)
0.28 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.33 Strong
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.29 Average
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Dakota Dubetz
Marian · 2006-07
1.333 Elite
actual D2/3 PPG
Jonathan Grebosky
Concordia · 2011-12
0.769 Strong
actual D2/3 PPG
Luke Aquaro
Hobart · 2018-19
1.231 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.