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Tyler Dysart Elite Prospects ↗

Position: Forward DOB: 2004-06-30 Country: USA
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
2021-22 New Jersey Rockets NCDC 49 9 19 28 0.571 0.3186 0.3497 0.4620 0.5071
2022-23 St. Cloud Norsemen NAHL 54 15 14 29 0.537 0.2128 0.2239 0.5638 0.5931
2023-24 St. Cloud Norsemen NAHL 56 19 31 50 0.893 0.3538 0.3553 0.9375 0.9414
2024-25 Sioux City Musketeers USHL 41 4 3 7 0.171 0.1049 0.0952 0.5029 0.4564
■ 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
2025-26 Vermont D1 HockeyEast FR 11 0 1 1 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.09
2025-26 · Vermont
-46.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
22%
NCAA D2/D3
65%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#26863
Forward overall
#1539
Forward born in 2004

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

Bobby Polachek
Fredonia · 2014-15
0.958 Strong
actual D2/3 PPG
Patrick Roginski
Wilkes · 2021-22
0.368 Average
actual D2/3 PPG
Manny Sanchez
SUNY Brockport · 2021-22
0.565 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.