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Bailey Sommers Elite Prospects ↗

Position: Forward DOB: 1999-05-14 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
2014-15 Redwood Valley USHS-MN 23 16 11 27 1.174 0.3160 0.3347 0.2851 0.3020
2017-18 Granite City Lumberjacks NA3HL 42 13 10 23 0.548 0.1259 0.1294 0.1735 0.1783
2018-19 Granite City Lumberjacks NA3HL 46 24 27 51 1.109 0.2550 0.2485 0.3512 0.3423
2019-20 Granite City Lumberjacks NA3HL 39 23 22 45 1.154 0.2654 0.2654 0.3655 0.3655
■ 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
2023-24 Hamline D3 MIAC SR 25 7 9 16 0.640
2022-23 Hamline D3 MIAC JR 24 6 10 16 0.667
2021-22 Hamline D3 MIAC SO 22 4 6 10 0.455
2020-21 Hamline D1 — FR 5 0 0 0 0.000
2020-21 Hamline D3 MIAC FR 5 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
40%
Other

NCAAe Rankings

#23715
Forward overall
#1190
Forward born in 1999

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Joseph Nikac
SUNY Brockport · 2022-23
0.522 Average
actual D2/3 PPG
Matthew Needleman
Canton · 2017-18
0.000 No data
actual D2/3 PPG
Kyle Kussmann
SUNY Brockport · 2023-24
0.739 Strong
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.