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

Chris Lutz Elite Prospects ↗

Position: Forward DOB: 1997-02-12 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 Soo Eagles NOJHL 53 10 27 37 0.698 0.1166 0.1122 0.2906 0.2796
■ 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
2020-21 Chatham D1 UCHC SR 12 1 3 4 0.333
2020-21 Chatham D3 UCHC SR 12 1 3 4 0.333
2019-20 Chatham D1 UCHC JR 20 2 4 6 0.300
2019-20 Chatham D3 UCHC JR 20 2 4 6 0.300
2018-19 Chatham D1 UCHC SO 25 9 6 15 0.600
2018-19 Chatham D3 UCHC SO 25 9 6 15 0.600
2017-18 Chatham D3 UCHC FR 25 6 4 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.40
2017-18 · Chatham
+316.7% vs. projection

NCAAe Rankings

#34075
Forward overall
#1614
Forward born in 1997
#479
in NOJHL

D1 Comparables

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
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Lane Janssen
Marian · 2022-23
0.000 No data
actual D2/3 PPG
Jack Natyshak
Alvernia · 2022-23
0.364 Average
actual D2/3 PPG
Robbie Hall
SUNY Brockport · 2011-12
0.421 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.