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Gene Falsetto Elite Prospects ↗

Position: Forward DOB: 1986-02-25 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
2002-03 Ottawa Jr. Senators CCHL 51 4 5 9 0.176 0.0383 0.0418 0.1366 0.1490
2003-04 Ottawa Jr. Senators CCHL 22 0 3 3 0.136 0.0296 0.0308 0.1055 0.1098
2004-05 Kanata Stallions CCHL 47 9 20 29 0.617 0.1338 0.1334 0.4774 0.4758
2005-06 Kanata Stallions CCHL 54 24 31 55 1.018 0.2209 0.2104 0.7880 0.7505
2006-07 — CCHL 54 29 38 67 1.241 0.2691 0.2430 0.9599 0.8668
■ 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
2009-10 Elmira D3 UCHC JR 6 0 0 0 0.000
2007-08 Elmira D3 UCHC FR 7 2 0 2 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.29
2007-08 · Elmira
+45.2% vs. projection

NCAAe Rankings

#13707
Forward overall
#488
Forward born in 1986
#153
in CCHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Mike McPherson
Plymouth State · 2017-18
0.333 Developing
actual D2/3 PPG
Mitchell Parsons
SUNY Brockport · 2017-18
0.577 Average
actual D2/3 PPG
R.J. Kleiman
Curry · 2010-11
0.625 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.