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Bron Loiselle Elite Prospects ↗

Position: Forward DOB: 1994-06-23 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 St. Michael's Buzzers OJHL 41 10 8 18 0.439 0.1227 0.1252 0.3030 0.3092
2013-14 St. Michael's Buzzers OJHL 52 16 23 39 0.750 0.2095 0.2031 0.5176 0.5017
2014-15 St. Michael's Buzzers OJHL 52 20 17 37 0.712 0.1988 0.1824 0.4910 0.4505
■ 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
2018-19 Lake Forest D3 NCHA SR 21 5 15 20 0.952
2017-18 Lake Forest D3 NCHA JR 25 7 12 19 0.760
2016-17 Lake Forest D3 NCHA SO 25 15 13 28 1.120
2015-16 Lake Forest D3 NCHA FR 19 3 6 9 0.474
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.47
2015-16 · Lake Forest
+190.3% vs. projection

NCAAe Rankings

#22189
Forward overall
#889
Forward born in 1994
#1751
in OJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Aaron Garrison
Johnson & Wales · 2018-19
0.300 Developing
actual D2/3 PPG
Patrick Roginski
Wilkes · 2021-22
0.368 Average
actual D2/3 PPG
Andy McGlynn
Wisconsin-Eau Claire · 2017-18
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.