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Ty Emberson Elite Prospects ↗

Position: Defense DOB: 2000-05-23 Country: USA
2018 · Round 3, Pick #73  ·  Utah Mammoth Utah Mammoth (via ARI)
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
2016-17 — NTDP-U18 57 0 18 18 0.316 0.2347 0.2415 1.1784 1.2124
2017-18 — NTDP-U18 61 4 23 27 0.443 0.3290 0.3218 1.6515 1.6153
■ 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 Wisconsin D1 BigTen JR 31 4 9 13 0.419
2019-20 Wisconsin D1 BigTen SO 33 1 8 9 0.273
2018-19 Wisconsin D1 BigTen FR 37 4 8 12 0.324
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.32
2018-19 · Wisconsin
+18.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
0%
NCAA D2/D3
50%
Pro / Other

NCAAe Rankings

D1 Comparables

Michael Brodzinski
USHL · 2012-13 · 0.54 PPG
→ Minnesota (0.50 D1 FR PPG)
0.34 Elite D
NCAAe PPG
Jordan Gross
USHL · 2012-13 · 0.48 PPG
→ Notre Dame (0.67 D1 FR PPG)
0.30 Elite D
NCAAe PPG
Michael Downing
USHL · 2012-13 · 0.44 PPG
→ Michigan (0.35 D1 FR PPG)
0.27 Strong D
NCAAe PPG
Connor Clifton
NTDP-U18 · 2012-13 · 0.35 PPG
→ Quinnipiac (0.25 D1 FR PPG)
0.25 Average D
NCAAe PPG
Matt Murphy
QMJHL · 2012-13 · 0.48 PPG
→ Northland (0.10 D1 FR PPG)
0.25 Developing D
NCAAe PPG

D2/3 Comparables

Chris Atkinson
Curry · 2005-06
0.962 Strong
actual D2/3 PPG
John Moncovich
Utica · 2016-17
0.864 Strong
actual D2/3 PPG
James Tatro
Salem State · 2021-22
1.269 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.