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Micah Berger Elite Prospects ↗

Position: Forward DOB: 2004-06-29 Country: USA
No commitment set

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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
2021-22 Sioux Falls Stampede USHL 2 0 1 1 0.500 0.3074 0.3259 1.4731 1.5617
2022-23 Sioux Falls Stampede USHL 6 0 0 0 0.000 — — — —
2023-24 Sioux Falls Stampede USHL 41 7 9 16 0.390 0.2399 0.2300 1.1496 1.1020
■ 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 Yale D1 ECAC SO 31 7 11 18 0.581
2024-25 Yale D1 ECAC — 21 5 10 15 0.714
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.71
2024-25 · Yale
+211.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
20%
NCAA D2/D3
25%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#10173
Forward overall
#419
Forward born in 2004
#942
in USHL

D1 Comparables

Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Joe Anderson
Wisconsin-Stout · 2013-14
0.625 Average
actual D2/3 PPG
Nick Marinac
SUNY Brockport · 2011-12
0.905 Strong
actual D2/3 PPG
Taylor McCloy
Adrian · 2012-13
1.500 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.