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Daniel Ebrahim Elite Prospects ↗

Position: Forward DOB: 2000-07-12 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 Pickering Panthers OJHL 3 0 1 1 0.333 0.0817 0.0876 0.2295 0.2461
2018-19 Pickering Panthers OJHL 53 12 14 26 0.491 0.1202 0.1230 0.3378 0.3456
2019-20 Haliburton County Huskies OJHL 7 9 4 13 1.857 0.4552 0.4552 1.2786 1.2786
2020-21 Jersey Hitmen NCDC 44 29 29 58 1.318 0.5374 0.5374 1.0596 1.0596
■ 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
2024-25 Sacred Heart D1 AHA SR 33 3 2 5 0.151
2023-24 Sacred Heart D1 AHA JR 31 9 3 12 0.387
2022-23 Sacred Heart D1 AHA SO 27 7 6 13 0.481
2021-22 Sacred Heart D1 AHA FR 21 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
2%
NCAA D2/D3
90%
Pro / Other

NCAAe Rankings

#3824
Forward overall
#152
Forward born in 2000

D1 Comparables

Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG
Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG

D2/3 Comparables

Massimo Gentile
Colby · 2021-22
0.731 Strong
actual D2/3 PPG
John Wilson
Saint Anselm · 2016-17
0.429 Average
actual D2/3 PPG
Tyler Kulas
Neumann · 2017-18
0.444 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.