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

Nicholas Alfieri Elite Prospects ↗

Position: Forward DOB: 1998-03-11 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
2015-16 Buffalo Jr. Sabres OJHL 4 1 1 2 0.500 0.1502 0.1574 0.3422 0.3587
2016-17 Buffalo Jr. Sabres OJHL 50 6 10 16 0.320 0.0961 0.0964 0.2190 0.2197
2017-18 Buffalo Jr. Sabres OJHL 49 3 14 17 0.347 0.1042 0.0995 0.2375 0.2269
2018-19 Buffalo Jr. Sabres OJHL 46 5 9 14 0.304 0.0914 0.0828 0.2083 0.1888
■ 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
2019-20 SUNY Potsdam D3 — FR 12 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
5%
NCAA D2/D3
75%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#47421
Forward overall
#2579
Forward born in 1998
#4062
in OJHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Connor Chilton
Aurora · 2017-18
0.370 Average
actual D2/3 PPG
Alex Perkins
Fredonia · 2009-10
0.217 Developing
actual D2/3 PPG
Jake Bestul
Wisconsin-River Falls · 2018-19
0.000 No data
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.