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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 0.0724 0.0738 0.1789 0.1824
2018-19 North York Rangers OJHL 49 21 20 41 0.837 0.2338 0.2270 0.5774 0.5605
2019-20 North York Rangers OJHL 53 26 38 64 1.208 0.3374 0.3374 0.8333 0.8333
■ 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
0.14
before college
→
Actual FR PPG
0.89
2021-22 · SUNY Oswego
+530.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
8%
NCAA D2/D3
22%
Age-Out / Club
55%
Pro / Other

NCAAe Rankings

#15192
Forward overall
#540
Forward born in 1999
#947
in OJHL

D1 Comparables

Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.24 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Robin Höglund
NAHL · 2012-13 · 0.52 PPG
→ Minnesota
0.19 No data
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Adam Czarnecki
Milwaukee School of Engineering · 2016-17
0.300 Developing
actual D2/3 PPG
Brandon Stroud
Western New England · 2009-10
1.077 Elite
actual D2/3 PPG
Brendan Prappas
Trine · 2017-18
0.929 Strong
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.