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Kieran Cebrian Elite Prospects ↗

Position: Forward DOB: 2003-03-31 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
2020-21 Tri-City Storm USHL 42 3 7 10 0.238 0.1405 0.1405 0.7151 0.7151
2021-22 Tri-City Storm USHL 62 9 14 23 0.371 0.2189 0.2184 1.1143 1.1118
2022-23 Tri-City Storm USHL 61 16 31 47 0.770 0.4545 0.4299 2.3141 2.1887
■ 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 Denver D1 NCHC JR 43 6 11 17 0.395
2024-25 Denver D1 NCHC JR 44 6 9 15 0.341
2023-24 Denver D1 NCHC SO 36 3 10 13 0.361
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.36
2023-24 · Denver
+22.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
2%
NCAA D2/D3
5%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#14267
Forward overall
#688
Forward born in 2003
#1362
in USHL

D1 Comparables

Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Jon Whitelaw
SUNY Oswego · 2008-09
1.357 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2015-16
1.280 Elite
actual D2/3 PPG
Nolan Redler
UMass Boston · 2015-16
1.125 Elite
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.