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Christian Cella Elite Prospects ↗

Position: Forward DOB: 1997-10-07 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
2013-14 Aurora Tigers OJHL 1 0 0 0 0.000 — — — —
2014-15 Milton Menace OJHL 41 3 1 4 0.098 0.0239 0.0259 0.0672 0.0727
2015-16 Milton Menace OJHL 40 4 9 13 0.325 0.0797 0.0818 0.2238 0.2298
2016-17 Milton Menace OJHL 38 6 8 14 0.368 0.0903 0.0887 0.2536 0.2491
2017-18 Milton Menace OJHL 27 3 9 12 0.444 0.1089 0.1017 0.3060 0.2858
■ 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
2018-19 SUNY Morrisville D1 SUNYAC FR 15 0 0 0 0.000
2018-19 SUNY Morrisville D3 SUNYAC — 15 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
8%
NCAA D2/D3
62%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#43130
Forward overall
#2130
Forward born in 1997
#2914
in OJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Connor Rubin
Framingham State · 2015-16
0.000 No data
actual D2/3 PPG
Jason Atkinson
Castleton · 2021-22
0.320 Developing
actual D2/3 PPG
Jude Kurtas
UMass Boston · 2021-22
0.500 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.