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Jean-Paul LaFontaine Elite Prospects ↗

Position: Forward DOB: 1992-02-13 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
2010-11 Green Bay Gamblers USHL 60 15 33 48 0.800 0.4918 0.4852 2.3570 2.3254
■ 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
2014-15 Minnesota D1 BigTen — 36 6 18 24 0.667
2014-15 Minnesota State D1 WCHA SR 36 6 18 24 0.667
2013-14 Minnesota D1 BigTen — 41 20 20 40 0.976
2013-14 Minnesota State D1 WCHA JR 41 20 20 40 0.976
2012-13 Minnesota D1 WCHA-orig — 41 9 26 35 0.854
2012-13 Minnesota State D1 — SO 41 9 26 35 0.854
2011-12 Minnesota D1 WCHA-orig — 38 13 15 28 0.737
2011-12 Minnesota State D1 — FR 38 13 15 28 0.737
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.42
before college
→
Actual FR PPG
0.74
2011-12 · Minnesota
+77.4% vs. projection

NCAAe Rankings

#5673
Forward overall
#280
Forward born in 1992
#349
in USHL

D1 Comparables

Dave Gust
USHL · 2012-13 · 0.77 PPG
→ Ohio State (0.38 D1 FR PPG)
0.46 Average
NCAAe PPG
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.44 Average
NCAAe PPG
Jared Thomas
USHL · 2012-13 · 0.69 PPG
→ Minnesota Duluth (0.33 D1 FR PPG)
0.42 Developing
NCAAe PPG
Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.42 Developing
NCAAe PPG
Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 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.