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Ben Doran Elite Prospects ↗

Position: Forward DOB: 2003-02-27 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
2019-20 Sioux City Musketeers USHL 43 3 4 7 0.163 0.1001 0.1001 0.4796 0.4796
2020-21 Sioux City Musketeers USHL 22 1 3 4 0.182 0.1118 0.1118 0.5356 0.5356
2021-22 Sioux City Musketeers USHL 62 13 17 30 0.484 0.2975 0.2955 1.4257 1.4162
2022-23 Sioux City Musketeers USHL 58 13 21 34 0.586 0.3603 0.3392 1.7271 1.6259
■ 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 Bowling Green D1 CCHA JR 36 7 24 31 0.861
2024-25 Bowling Green D1 CCHA JR 36 10 12 22 0.611
2023-24 Bowling Green D1 CCHA SO 25 3 7 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.40
2023-24 · Bowling Green
+45.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#17261
Forward overall
#862
Forward born in 2003
#1727
in USHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.34 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.35 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Jordan Reed
Curry · 2009-10
0.885 Strong
actual D2/3 PPG
Rusty Masters
Elmira · 2005-06
0.962 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2014-15
1.161 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.