← New Search ↗ Social Card

Danny Reidel Elite Prospects ↗

Position: Forward DOB: 1997-03-21 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
2016-17 Jersey Hitmen USPHL-Premier-Classic 17 1 4 5 0.294 0.0826 0.0826 0.2419 0.2419
2017-18 Collingwood Blues OJHL 51 14 17 31 0.608 0.1490 0.1351 0.4180 0.3790
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
2021-22 Wilkes D3 MAC SR 9 0 2 2 0.222
2020-21 Wilkes D1 MAC JR 3 0 0 0 0.000
2020-21 Wilkes D3 MAC JR 3 0 0 0 0.000
2019-20 Wilkes D1 MAC SO 26 14 5 19 0.731
2019-20 Wilkes D3 MAC SO 26 14 5 19 0.731
2018-19 Wilkes D1 MAC FR 15 0 2 2 0.133
2018-19 Wilkes D3 MAC FR 15 0 2 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
Actual FR PPG
0.13
2018-19 · Wilkes
+36.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#40621
Forward overall
#1973
Forward born in 1997

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Milwaukee School of Engineering · 2021-22
0.500 Average
actual D2/3 PPG
Manhattanville · 2018-19
0.312 Developing
actual D2/3 PPG
Fredonia · 2018-19
0.150 Developing
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.