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Tony Lucia Elite Prospects ↗

Position: Forward DOB: 1987-08-23 Country: USA
2005 · Round 7, Pick #193  ·  San Jose Sharks San Jose Sharks
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
2004-05 Omaha Lancers USHL 11 1 0 1 0.091 0.0536 0.0577 0.2730 0.2940
2005-06 Omaha Lancers USHL 56 12 23 35 0.625 0.3687 0.3778 1.8771 1.9234
■ 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 Minnesota D1 BigTen SR 39 11 17 28 0.718
2008-09 Minnesota D1 BigTen JR 34 9 8 17 0.500
2007-08 Minnesota D1 BigTen SO 44 7 11 18 0.409
2006-07 Minnesota D1 BigTen FR 43 7 12 19 0.442
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.44
2006-07 · Minnesota
+106.7% vs. projection

NCAAe Rankings

#21566
Forward overall
#718
Forward born in 1987
#2110
in USHL

D1 Comparables

Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Brycon Johnson
Bryn Athyn · 2014-15
0.778 Strong
actual D2/3 PPG
Justin Fox
Salem State · 2005-06
1.429 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2015-16
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.