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Bekk McClaine Elite Prospects ↗

Position: Forward DOB: 2002-06-05 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
2020-21 New Hampshire Jr. Monarchs NCDC 24 1 4 5 0.208 0.0849 0.0849 0.1674 0.1674
2021-22 New Hampshire Jr. Monarchs NCDC 48 7 8 15 0.312 0.1274 0.1266 0.2512 0.2497
■ 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 Chatham D3 UCHC SR 27 11 14 25 0.926
2024-25 Chatham D3 UCHC JR 27 5 8 13 0.481
2023-24 Chatham D3 UCHC SO 26 5 12 17 0.654
2022-23 Chatham D3 UCHC FR 26 6 6 12 0.462
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.46
2022-23 · Chatham
+325.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
32%
Other

NCAAe Rankings

#34245
Forward overall
#2043
Forward born in 2002
#1215
in NCDC

D1 Comparables

Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Matt Staehely
Saint Mary's (MN) · 2005-06
0.720 Strong
actual D2/3 PPG
Jericho Petkovich
Trinity · 2018-19
0.000 No data
actual D2/3 PPG
Dylan Meier
Augsburg · 2011-12
0.560 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.