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Tyler Ignazzitto Elite Prospects ↗

Position: Forward DOB: 2000-04-09 Country: Canada
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
2017-18 Collingwood Blues OJHL 2 1 0 1 0.500 0.1226 0.1299 0.3442 0.3646
2018-19 Trenton Golden Hawks OJHL 37 12 14 26 0.703 0.1722 0.1740 0.4837 0.4887
2019-20 — OJHL 53 11 23 34 0.641 0.1572 0.1572 0.4415 0.4415
2020-21 Wellington Dukes OJHL 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
2024-25 Albertus Magnus D3 UCHC SR 26 6 14 20 0.769
2023-24 Albertus Magnus D3 UCHC JR 25 3 17 20 0.800
2022-23 Albertus Magnus D3 UCHC SO 13 3 11 14 1.077
2021-22 Albertus Magnus D3 UCHC FR 24 9 13 22 0.917
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.92
2021-22 · Albertus Magnus
+585.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
8%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#28812
Forward overall
#1425
Forward born in 2000
#1473
in OJHL

D1 Comparables

Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG

D2/3 Comparables

Graham Harris
Augsburg · 2019-20
0.880 Strong
actual D2/3 PPG
Kevin Michelcavage
Concordia · 2009-10
0.480 Average
actual D2/3 PPG
Nick Blood
Gustavus Adolphus · 2021-22
0.294 Developing
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.