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Ben Meyers Elite Prospects ↗

Position: Forward DOB: 1998-11-15 Country: USA
Signed Professionally

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
2014-15 — USHS-MN 25 18 32 50 2.000 0.5384 0.5570 0.4858 0.5026
2016-17 — USHL 5 1 0 1 0.200 0.1229 0.1267 0.5892 0.6075
2017-18 — USHL 60 24 20 44 0.733 0.4508 0.4424 2.1604 2.1201
2018-19 — USHL 59 33 32 65 1.102 0.6772 0.6296 3.2458 3.0177
■ 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 Minnesota D1 BigTen JR 34 17 24 41 1.206
2020-21 Minnesota D1 BigTen SO 31 12 16 28 0.903
2019-20 Minnesota D1 BigTen FR 37 10 16 26 0.703
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.52
before college
→
Actual FR PPG
0.70
2019-20 · Minnesota
+36.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
2%
NCAA D2/D3
2%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

D1 Comparables

Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.68 Developing
NCAAe PPG
Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.68 Elite
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.50 No data
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG

D2/3 Comparables

Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 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.