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Rhett Pitlick Elite Prospects ↗

Position: Forward DOB: 2001-02-07 Country: USA
2019 · Round 5, Pick #131  ·  Montreal Canadiens Montreal Canadiens
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
2018-19 Omaha Lancers USHL 7 1 4 5 0.714 0.4214 0.4388 2.1453 2.2340
2019-20 — USHL 45 17 25 42 0.933 0.5506 0.5506 2.8031 2.8031
2020-21 — USHL 43 13 21 34 0.791 0.4664 0.4664 2.3748 2.3748
■ 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
2024-25 Minnesota D1 BigTen SR 39 13 27 40 1.026
2023-24 Minnesota D1 BigTen JR 39 19 17 36 0.923
2022-23 Minnesota D1 BigTen SO 40 11 14 25 0.625
2021-22 Minnesota D1 BigTen FR 30 5 13 18 0.600
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.60
2021-22 · Minnesota
+59.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
10%
Pro / Other

NCAAe Rankings

#5319
Forward overall
#212
Forward born in 2001
#275
in USHL

D1 Comparables

John Hayden
NTDP-U18 · 2012-13 · 0.64 PPG
→ Yale (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Evan Allen
USHL · 2012-13 · 0.62 PPG
→ Michigan (0.26 D1 FR PPG)
0.38 Developing
NCAAe PPG
Tyler Motte
USHL · 2012-13 · 0.65 PPG
→ Michigan (0.53 D1 FR PPG)
0.40 Average
NCAAe PPG
Tyler Kelleher
USHL · 2012-13 · 0.73 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.44 Average
NCAAe PPG
Vinni Lettieri
USHL · 2012-13 · 0.92 PPG
→ Minnesota (0.22 D1 FR PPG)
0.56 Developing
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2022-23
1.120 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 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.