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

Franco Loparco Elite Prospects ↗

Position: Forward DOB: 1992-01-10 Country: Canada
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 Toronto Dixie Beehives OJHL 47 14 27 41 0.872 0.2138 0.2220 0.6006 0.6237
2010-11 Streetsville Derbys (OLD) OJHL 39 24 17 41 1.051 0.2577 0.2556 0.7238 0.7179
2011-12 Cobourg Cougars OJHL 49 20 32 52 1.061 0.2601 0.2465 0.7306 0.6924
2012-13 North York Rangers OJHL 13 9 6 15 1.154 0.2828 0.2539 0.7944 0.7132
■ 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
2012-13 Concordia D3 MIAC — 12 4 2 6 0.500
2012-13 Concordia (WI) D3 NCHA FR 12 4 2 6 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.50
2012-13 · Concordia
+133.5% vs. projection

NCAAe Rankings

#13558
Forward overall
#536
Forward born in 1992
#374
in OJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Gage Christianson
Milwaukee School of Engineering · 2012-13
0.741 Strong
actual D2/3 PPG
Jack Schlifke
Fredonia · 2021-22
1.000 Elite
actual D2/3 PPG
Glenn Wiswell
Castleton · 2016-17
0.667 Strong
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.