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Daniel Menges Elite Prospects ↗

Position: Forward DOB: 1999-08-16 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
2018-19 Rockland Nationals CCHL 42 10 12 22 0.524 0.1136 0.1120 0.4053 0.3997
2019-20 Rockland Nationals CCHL 48 11 17 28 0.583 0.1265 0.1265 0.4513 0.4513
■ 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 Aurora D3 NCHA — 10 2 1 3 0.300
2020-21 Aurora D1 NCHA FR 6 0 2 2 0.333
2020-21 Aurora D3 NCHA — 6 0 2 2 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.33
2020-21 · Aurora
+247.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
25%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#31867
Forward overall
#1712
Forward born in 1999
#715
in CCHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

John Barrett
Wilkes · 2018-19
0.000 No data
actual D2/3 PPG
Thomas Gerum
Salve Regina · 2023-24
0.440 Average
actual D2/3 PPG
Logan Kons
Augsburg · 2018-19
0.800 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.