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Tristan Broz Elite Prospects ↗

Position: Forward DOB: 2002-10-10 Country: USA
2021 NHL Draft Round 2, Pick #58  ·  Pittsburgh Penguins Pittsburgh Penguins
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 — USHL 6 1 3 4 0.667 0.4098 0.4610 1.9642 2.2094
2019-20 — USHL 48 14 21 35 0.729 0.4482 0.4482 2.1484 2.1484
2020-21 — USHL 54 19 32 51 0.944 0.5805 0.5805 2.7824 2.7824
■ 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
2023-24 Denver D1 NCHC — 43 16 24 40 0.930
2022-23 Denver D1 NCHC — 40 10 18 28 0.700
2021-22 Minnesota D1 BigTen — 36 6 5 11 0.306
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.31
2021-22 · Minnesota
-22.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
0%
NCAA D2/D3
22%
Pro / Other

NCAAe Rankings

D1 Comparables

Jake Wahlin
USHL · 2012-13 · 0.67 PPG
→ St. Cloud State (0.34 D1 FR PPG)
0.46 Developing
NCAAe PPG
Jack Eichel
USHL · 2012-13 · 0.77 PPG
→ Boston University (1.77 D1 FR PPG)
0.53 Elite
NCAAe PPG
Kyle Connor
USHL · 2012-13 · 0.66 PPG
→ Michigan (1.87 D1 FR PPG)
0.46 Elite
NCAAe PPG
Dylan Larkin
NTDP-U18 · 2012-13 · 0.49 PPG
→ Michigan (1.34 D1 FR PPG)
0.39 Elite
NCAAe PPG
Dylan Gambrell
USHL · 2012-13 · 0.47 PPG
→ Denver (1.15 D1 FR PPG)
0.32 Elite
NCAAe PPG

D2/3 Comparables

Luke Aquaro
Hobart · 2016-17
1.231 Elite
actual D2/3 PPG
Sam Anderson
Albertus Magnus · 2017-18
0.720 Strong
actual D2/3 PPG
Ryan Reifler
Elmira · 2016-17
1.067 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.