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Bailey Martin Elite Prospects ↗

Position: Forward DOB: 1998-04-16 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
2015-16 Coulee Region Chill NAHL 2 0 0 0 0.000 — — — —
2016-17 Coulee Region Chill NAHL 46 5 9 14 0.304 0.1206 0.1246 0.3195 0.3300
2017-18 Coulee Region Chill NAHL 60 4 11 15 0.250 0.0990 0.0973 0.2625 0.2581
■ 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 Hamline D3 MIAC SR 0 0 0 0 0.000
2020-21 Hamline D1 — JR 5 1 2 3 0.600
2020-21 Hamline D3 MIAC JR 5 1 2 3 0.600
2019-20 Hamline D1 — SO 22 4 8 12 0.545
2019-20 Hamline D3 MIAC SO 22 4 8 12 0.545
2018-19 Hamline D1 — FR 25 6 7 13 0.520
2018-19 Hamline D3 MIAC FR 25 6 7 13 0.520
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.52
2018-19 · Hamline
+461.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
2%
NCAA D2/D3
88%
Pro / Other

NCAAe Rankings

#44940
Forward overall
#2399
Forward born in 1998
#5095
in NAHL

D1 Comparables

William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Mike Robinson
OHL · 2012-13 · 0.19 PPG
→ New Hampshire
0.10 No data
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.15 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG

D2/3 Comparables

Dylan Shane
Skidmore · 2023-24
0.556 Average
actual D2/3 PPG
Brendan Sheehan
Hamline · 2017-18
0.191 Developing
actual D2/3 PPG
Blake Edwards
Tufts · 2009-10
0.600 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.