IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Michael Booth Elite Prospects ↗

Position: Forward DOB: 1996-03-20 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 Fargo Force USHL 58 6 8 14 0.241 0.1484 0.1620 0.7112 0.7764
2013-14 — USHL 38 3 4 7 0.184 0.1132 0.1183 0.5427 0.5670
2014-15 Bay State Breakers USPHL-Premier-Classic 45 16 24 40 0.889 0.2495 0.2614 0.7321 0.7669
2015-16 South Shore Kings USPHL-Premier-Classic 44 19 23 42 0.955 0.2679 0.2675 0.7861 0.7850
■ 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
2017-18 Boston College D1 HockeyEast — 14 1 1 2 0.143
2016-17 Boston College D1 HockeyEast — 37 2 4 6 0.162
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.16
2016-17 · Boston College
-28.5% vs. projection

NCAAe Rankings

#24231
Forward overall
#971
Forward born in 1996

D1 Comparables

Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Zack Bross
UMass Boston · 2015-16
1.518 Elite
actual D2/3 PPG
Dakota Ulmer
Bryn Athyn · 2015-16
0.538 Average
actual D2/3 PPG
Aidan Verbeke
SUNY Brockport · 2012-13
0.647 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.