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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 0.1464 0.1464 0.7015 0.7015
2021-22 Tri-City Storm USHL 62 9 14 23 0.371 0.2281 0.2276 1.0930 1.0906
2022-23 Tri-City Storm USHL 61 16 31 47 0.770 0.4736 0.4479 2.2700 2.1470
■ 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
0.31
before college
→
Actual FR PPG
0.36
2023-24 · Denver
+17.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#13799
Forward overall
#668
Forward born in 2003
#1368
in USHL

D1 Comparables

Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Nolan Redler
UMass Boston · 2015-16
1.125 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2003-04
1.704 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2015-16
0.923 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.