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

Christian Fitzgerald Elite Prospects ↗

Position: Forward DOB: 2002-05-31 Country: Canada
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
2018-19 — BCHL 1 0 0 0 0.000 — — — —
2019-20 — BCHL 44 3 3 6 0.136 0.0508 0.0508 0.1987 0.1987
2020-21 — BCHL 19 13 20 33 1.737 0.6470 0.6470 2.5307 2.5307
2021-22 — USHL 29 8 11 19 0.655 0.4028 0.3851 1.9304 1.8458
■ 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
2025-26 Wisconsin D1 BigTen SR 39 16 15 31 0.795
2024-25 Wisconsin D1 BigTen SR 37 6 11 17 0.460
2023-24 Wisconsin D1 BigTen JR 37 7 17 24 0.649
2022-23 Minnesota D1 BigTen — 38 16 13 29 0.763
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.76
2022-23 · Minnesota
+131.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
5%
NCAA D2/D3
10%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

D1 Comparables

Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Nicolas Pigeon
Wisconsin-Stout · 2022-23
1.000 Elite
actual D2/3 PPG
Michael Padgeon
Anna Maria · 2018-19
0.706 Strong
actual D2/3 PPG
Travis Janke
Norwich · 2009-10
1.258 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.