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Ray Pigozzi Elite Prospects ↗

Position: Forward DOB: 1994-04-03 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 Des Moines Buccaneers USHL 51 6 12 18 0.353 0.2247 0.2457 1.0575 1.1562
2011-12 — USHL 43 6 18 24 0.558 0.3554 0.3720 1.6725 1.7505
2012-13 Chicago Steel USHL 53 8 26 34 0.641 0.4085 0.4058 1.9224 1.9098
■ 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 D1 — SR 24 8 8 16 0.667
2015-16 UMass D1 — JR 36 8 22 30 0.833
2014-15 UMass D1 — SO 31 4 14 18 0.581
2013-14 UMass D1 — FR 33 5 13 18 0.545
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.55
2013-14 · UMass
+62.4% vs. projection

NCAAe Rankings

#7489
Forward overall
#302
Forward born in 1994
#1207
in USHL

D1 Comparables

Daniel Milne
OHL · 2012-13 · 0.70 PPG
→ Michigan
0.42 No data
NCAAe PPG
Kyle Schmidt
USHL · 2012-13 · 0.57 PPG
→ Bentley (0.30 D1 FR PPG)
0.36 Developing
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.44 Average
NCAAe PPG
Brandon Hawkins
NAHL · 2012-13 · 0.97 PPG
→ Bowling Green (0.77 D1 FR PPG)
0.37 Strong
NCAAe PPG
Willem Nong-Lambert
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.37 Developing
NCAAe PPG

D2/3 Comparables

Donny Flynn
Wilkes · 2015-16
1.423 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2000-01
1.226 Elite
actual D2/3 PPG
Justin Fox
Salem State · 2005-06
1.429 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.