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Kyler Kovich Elite Prospects ↗

Position: Forward DOB: 2002-01-31 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 Powell River Kings BCHL 2 0 0 0 0.000 — — — —
2018-19 Nanaimo Clippers BCHL 48 7 7 14 0.292 0.1124 0.1247 0.4250 0.4716
2019-20 Nanaimo Clippers BCHL 51 18 21 39 0.765 0.2946 0.2946 1.1142 1.1142
2020-21 Tri-City Storm USHL 36 5 10 15 0.417 0.2458 0.2458 1.2277 1.2277
■ 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 Minnesota Duluth D1 NCHC — 40 1 0 1 0.025
2024-25 Cornell D1 ECAC SR 36 5 9 14 0.389
2023-24 Cornell D1 ECAC JR 7 0 1 1 0.143
2022-23 Cornell D1 ECAC SO 16 1 2 3 0.188
2021-22 Cornell D1 ECAC FR 19 3 1 4 0.210
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.21
2021-22 · Cornell
+97.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
88%
Pro / Other

NCAAe Rankings

#23455
Forward overall
#1301
Forward born in 2002

D1 Comparables

Jared Fiegl
USHL · 2012-13 · 0.21 PPG
→ Cornell (0.04 D1 FR PPG)
0.13 Developing
NCAAe PPG
Dylan Pavelek
USHL · 2012-13 · 0.33 PPG
→ Michigan State
0.21 No data
NCAAe PPG
Michael Booth
USHL · 2012-13 · 0.24 PPG
→ Boston College (0.16 D1 FR PPG)
0.16 Developing
NCAAe PPG
Joe Snively
USHL · 2012-13 · 0.33 PPG
→ Yale (0.88 D1 FR PPG)
0.21 Elite
NCAAe PPG
Alec Marsh
USHL · 2012-13 · 0.28 PPG
→ Penn State (0.57 D1 FR PPG)
0.17 Strong
NCAAe PPG

D2/3 Comparables

Andrew Kangas
St. Thomas · 2014-15
0.474 Average
actual D2/3 PPG
Shawn Kennedy
Elmira · 2015-16
1.133 Elite
actual D2/3 PPG
Wes Consorti
Elmira · 2006-07
0.360 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.