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

John Farinacci Elite Prospects ↗

Position: Forward DOB: 2001-02-14 Country: USA
2019 NHL Draft Round 3, Pick #76  ·  Utah Mammoth Utah Mammoth (via ARI)
Signed Professionally

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
2017-18 — USHL 7 2 1 3 0.429 0.2635 0.2882 1.2627 1.3812
2018-19 Dexter NE-Prep 29 10 17 27 0.931 0.2626 0.2626 2.2096 2.3030
2020-21 — USHL 7 4 4 8 1.143 0.7025 0.7025 3.3672 3.3672
■ 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
2022-23 Harvard D1 ECAC — 19 5 15 20 1.053
2021-22 Harvard D1 ECAC — 29 10 9 19 0.655
2019-20 Harvard D1 ECAC FR 31 10 12 22 0.710
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.71
2019-20 · Harvard
+203.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
0%
Club / ACHA
88%
Other

NCAAe Rankings

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan (0.25 D1 FR PPG)
0.28 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.33 Strong
NCAAe PPG
Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.29 Average
NCAAe PPG
Jake Horton
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.27 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
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.