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Tory Pitner Elite Prospects ↗

Position: Defense DOB: 2006-03-06 Country: USA
2024 · Round 6, Pick #185  ·  Colorado Avalanche Colorado Avalanche
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
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
2022-23 — USHL 36 0 9 9 0.250 0.1475 0.1611 0.7509 0.8203
2023-24 Youngstown Phantoms USHL 50 8 16 24 0.480 0.2832 0.2953 1.4416 1.5032
■ 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 Denver D1 NCHC SO 6 0 1 1 0.167
2024-25 Denver D1 NCHC — 40 0 1 1 0.025
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.03
2024-25 · Denver
-89.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#5055
Defenseman overall
#1071
Defenseman born in 2006
#2258
in USHL

D1 Comparables

Clark Kuster
USHL · 2012-13 · 0.47 PPG
→ St. Cloud State
0.29 No data
NCAAe PPG
Luke Voltin
USHL · 2012-13 · 0.43 PPG
→ Northern Michigan (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Connor Clifton
NTDP-U18 · 2012-13 · 0.35 PPG
→ Quinnipiac (0.25 D1 FR PPG)
0.25 Average D
NCAAe PPG
Jack Stander
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.17 D1 FR PPG)
0.20 Average D
NCAAe PPG
Matt Roy
USHL · 2012-13 · 0.30 PPG
→ Michigan Tech (0.25 D1 FR PPG)
0.18 Average D
NCAAe PPG

D2/3 Comparables

Nolan Redler
UMass Boston · 2014-15
1.125 Elite
actual D2/3 PPG
Mike Bickley
Wisconsin-Superior · 2000-01
1.231 Elite
actual D2/3 PPG
Patrick Stillar
SUNY Morrisville · 2009-10
1.154 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.