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

Mac Bennett Elite Prospects ↗

Position: Defense DOB: 1991-03-25 Country: USA
2009 · Round 3, Pick #79  ·  Montreal Canadiens Montreal Canadiens
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
2009-10 Cedar Rapids RoughRiders USHL 53 9 15 24 0.453 0.2671 0.2651 1.3599 1.3498
■ 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
2013-14 Michigan D1 BigTen SR 31 2 12 14 0.452
2012-13 Michigan D1 CCHA-orig JR 32 6 12 18 0.562
2011-12 Michigan D1 CCHA-orig SO 41 4 17 21 0.512
2010-11 Michigan D1 CCHA-orig FR 32 2 10 12 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.38
2010-11 · Michigan
+49.8% vs. projection

NCAAe Rankings

#3727
Defenseman overall
#681
Defenseman born in 1991
#1776
in USHL

D1 Comparables

Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.28 Strong D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Jaccob Slavin
USHL · 2012-13 · 0.53 PPG
→ Colorado College (0.78 D1 FR PPG)
0.31 Elite D
NCAAe PPG
Gavin Bayreuther
USHL · 2012-13 · 0.55 PPG
→ St. Lawrence (0.95 D1 FR PPG)
0.32 Elite D
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG

D2/3 Comparables

Jon Daigle
Marian · 2000-01
1.074 Elite
actual D2/3 PPG
Robbie Murden
Hamilton · 2010-11
1.091 Elite
actual D2/3 PPG
Blake Ulve
St. Norbert · 2020-21
0.552 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.