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Tyler Flack Elite Prospects ↗

Position: Forward DOB: 1999-06-25 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
2016-17 North York Rangers OJHL 8 0 0 0 0.000 — — — —
2017-18 North York Rangers OJHL 27 2 5 7 0.259 0.0636 0.0649 0.1785 0.1820
2018-19 North York Rangers OJHL 49 21 20 41 0.837 0.2051 0.1991 0.5761 0.5592
2019-20 North York Rangers OJHL 53 26 38 64 1.208 0.2960 0.2960 0.8314 0.8314
■ 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
2023-24 SUNY Oswego D3 SUNYAC JR 26 17 23 40 1.538
2022-23 SUNY Oswego D3 SUNYAC SO 14 1 3 4 0.286
2021-22 SUNY Oswego D3 SUNYAC FR 19 6 11 17 0.895
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.89
2021-22 · SUNY Oswego
+618.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
2%
NCAA D2/D3
25%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#19998
Forward overall
#986
Forward born in 1999
#773
in OJHL

D1 Comparables

Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Whim Stålberg
Plymouth State · 2018-19
0.600 Average
actual D2/3 PPG
Brendan Prappas
Trine · 2017-18
0.929 Strong
actual D2/3 PPG
Adam Czarnecki
Milwaukee School of Engineering · 2016-17
0.300 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.