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Marco Mignosa Elite Prospects ↗

Position: Forward DOB: 2005-04-13 Country: Canada
2025 · Round 7, Pick #215  ·  Tampa Bay Lightning Tampa Bay Lightning
Penn State
BigTen D1

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
2021-22 — OHL 55 13 12 25 0.455 0.2629 0.2862 1.1678 1.2714
2022-23 — OHL 68 10 27 37 0.544 0.3148 0.3291 1.3981 1.4617
2023-24 Soo Greyhounds OHL 57 22 31 53 0.930 0.5379 0.5366 2.3891 2.3834
2024-25 Soo Greyhounds OHL 58 36 49 85 1.466 0.8478 0.8020 3.7656 3.5622
2025-26 Soo Greyhounds OHL 65 35 54 89 1.369 0.7921 0.7095 3.5182 3.1513
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
35%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#2621
Forward overall
#32
Forward born in 2005
#64
in OHL

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.65 Developing
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG

Penn State Alumni similar profiles who attended this school

Scott Conway
BCHL 2015-16
0.76
actual FR PPG at Penn State
Shea Van Olm
WHL 2024-25
0.36
actual FR PPG at Penn State
Brett Murray
USHL 2018-19
0.08
actual FR PPG at Penn State
J.J. Wiebusch
USHL 2023-24
0.82
actual FR PPG at Penn State

D2/3 Comparables

Brandon Osmundson
Utica · 2018-19
1.448 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 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.