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Tyler Schwindt Elite Prospects ↗

Position: Forward DOB: 2001-02-08 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
2019-20 Timmins Rock NOJHL 55 15 15 30 0.545 0.0929 0.0929 0.2312 0.2312
2020-21 Timmins Rock NOJHL 22 13 7 20 0.909 0.1548 0.1548 0.3853 0.3853
2021-22 Timmins Rock NOJHL 48 34 30 64 1.333 0.2271 0.2045 0.5651 0.5089
■ 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 Elmira D3 UCHC SR 25 12 3 15 0.600
2024-25 Elmira D3 UCHC JR 15 2 1 3 0.200
2023-24 Elmira D3 UCHC SO 28 2 6 8 0.286
2022-23 Elmira D3 UCHC FR 11 2 0 2 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.18
2022-23 · Elmira
+3.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
25%
NCAA D2/D3
22%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#22397
Forward overall
#1116
Forward born in 2001
#146
in NOJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Caleb Labrie
Becker · 2017-18
0.333 Developing
actual D2/3 PPG
Ethan Look
Lawrence · 2024-25
0.565 Average
actual D2/3 PPG
Carter Anderson
Anna Maria · 2021-22
0.579 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.