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Joe Gambardella Elite Prospects ↗

Position: Forward DOB: 1993-12-06 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
2011-12 Des Moines Buccaneers USHL 31 4 5 9 0.290 0.1712 0.1764 0.8719 0.8985
2012-13 Des Moines Buccaneers USHL 48 15 21 36 0.750 0.4424 0.4324 2.2526 2.2015
■ 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
2016-17 UMass Lowell D1 HockeyEast SR 41 18 34 52 1.268
2015-16 UMass Lowell D1 HockeyEast JR 40 10 27 37 0.925
2014-15 UMass Lowell D1 HockeyEast SO 38 14 16 30 0.789
2013-14 UMass Lowell D1 HockeyEast FR 41 5 5 10 0.244
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.24
2013-14 · UMass Lowell
-13.7% vs. projection

NCAAe Rankings

#12498
Forward overall
#461
Forward born in 1993
#1158
in USHL

D1 Comparables

Robbie Baillargeon
USHL · 2012-13 · 0.75 PPG
→ Boston University (0.77 D1 FR PPG)
0.43 Strong
NCAAe PPG
Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.46 Developing
NCAAe PPG
Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota State (0.33 D1 FR PPG)
0.48 Developing
NCAAe PPG
Kevin Duane
USHL · 2012-13 · 0.67 PPG
→ Boston University (0.31 D1 FR PPG)
0.39 Developing
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2017-18
1.448 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2022-23
1.120 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 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.