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Michael Padgeon Elite Prospects ↗

Position: Forward DOB: 1998-08-06 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
2017-18 Bay State Bobcats NA3HL 47 28 29 57 1.213 0.1461 0.1445 0.3831 0.3789
2018-19 Bay State Bobcats NA3HL 47 51 72 123 2.617 0.3153 0.2952 0.8267 0.7740
■ 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
2022-23 Anna Maria D3 MASCAC SR 20 2 5 7 0.350
2021-22 Anna Maria D3 MASCAC JR 20 4 3 7 0.350
2020-21 Anna Maria D3 MASCAC SO 5 0 1 1 0.200
2019-20 Anna Maria D3 MASCAC FR 17 8 4 12 0.706
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.71
2019-20 · Anna Maria
+251.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#15062
Forward overall
#539
Forward born in 1998
#90
in NA3HL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Beau Walker
NAHL · 2012-13 · 1.00 PPG
→ Sacred Heart (0.40 D1 FR PPG)
0.35 Average
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Kevin Shand
Milwaukee School of Engineering · 2015-16
0.412 Average
actual D2/3 PPG
Ty Kraus
Northland · 2015-16
0.760 Strong
actual D2/3 PPG
Matthew Cuce
Elmira · 2015-16
1.000 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.