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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 0.1076 0.1098 0.3023 0.3085
2013-14 St. Michael's Buzzers OJHL 52 16 23 39 0.750 0.1838 0.1782 0.5164 0.5006
2014-15 St. Michael's Buzzers OJHL 52 20 17 37 0.712 0.1744 0.1600 0.4899 0.4495
■ 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
0.14
before college
→
Actual FR PPG
0.47
2015-16 · Lake Forest
+230.8% vs. projection

NCAAe Rankings

#28623
Forward overall
#1096
Forward born in 1994
#1439
in OJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
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.