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

Peter Costa Elite Prospects ↗

Position: Forward DOB: 1997-01-13 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
2016-17 Rochester Monarchs USPHL-Elite 41 12 12 24 0.585 0.0540 0.0521 0.1341 0.1293
2017-18 Richmond Generals USPHL-Premier 41 10 5 15 0.366 0.0479 0.0439 0.1242 0.1139
■ 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
2021-22 Johnson & Wales D3 CNE — 5 0 0 0 0.000
2020-21 Johnson & Wales D3 CNE — 0 0 0 0 0.000
2019-20 Johnson & Wales D3 CNE — 18 0 5 5 0.278
2018-19 Anna Maria D1 MASCAC FR 6 0 0 0 0.000
2018-19 Anna Maria D3 MASCAC — 6 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#44018
Forward overall
#2178
Forward born in 1997

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Jeff Aonso
Fredonia · 2005-06
0.176 Developing
actual D2/3 PPG
Costa Pizanis
Post · 2016-17
0.150 Developing
actual D2/3 PPG
Sam Schoenfeld
Milwaukee School of Engineering · 2022-23
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.