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Mason Bergh Elite Prospects ↗

Position: Forward DOB: 1995-03-06 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
2012-13 Waterloo Black Hawks USHL 2 0 0 0 0.000 — — — —
2013-14 Chicago Steel USHL 58 11 14 25 0.431 0.2649 0.2630 1.2698 1.2607
2014-15 Chicago Steel USHL 54 21 40 61 1.130 0.6944 0.6553 3.3280 3.1405
■ 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
2018-19 Colorado College D1 NCHC — 41 7 21 28 0.683
2017-18 Colorado College D1 NCHC — 37 18 22 40 1.081
2016-17 Colorado College D1 NCHC — 36 14 10 24 0.667
2015-16 Colorado College D1 NCHC — 35 4 9 13 0.371
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.43
before college
→
Actual FR PPG
0.37
2015-16 · Colorado College
-12.9% vs. projection

NCAAe Rankings

#5133
Forward overall
#282
Forward born in 1995
#291
in USHL

D1 Comparables

Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.58 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.58 Elite
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2018-19
1.448 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 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.