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Zach Bettmeng Elite Prospects ↗

Position: Forward DOB: 1998-01-04 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 Steele County Blades USPHL-Elite 19 14 7 21 1.105 0.1942 0.1967 0.2532 0.2565
2017-18 Steele County Blades USPHL-Premier 41 21 31 52 1.268 0.4180 0.4037 0.4315 0.4167
■ 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 Framingham State D3 MASCAC — 19 1 1 2 0.105
2019-20 Framingham State D1 — SO 19 3 6 9 0.474
2019-20 Framingham State D3 MASCAC — 19 3 6 9 0.474
2018-19 Becker D3 — FR 24 5 4 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.38
2018-19 · Becker
+36.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D2/D3
0%
Club / ACHA
15%
Other

NCAAe Rankings

#13444
Forward overall
#605
Forward born in 1998

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Cameron Sangster
Becker · 2016-17
0.000 No data
actual D2/3 PPG
Austin Wisely
Hamline · 2016-17
0.300 Developing
actual D2/3 PPG
Cole Klippenstein
Southern Maine · 2012-13
0.520 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.