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Seth Ambroz Elite Prospects ↗

Position: Forward DOB: 1993-04-01 Country: USA
2011 · Round 4, Pick #128  ·  Columbus Blue Jackets Columbus Blue Jackets
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
2008-09 Omaha Lancers USHL 60 14 17 31 0.517 0.3048 0.3528 1.5519 1.7965
2009-10 Omaha Lancers USHL 56 22 27 49 0.875 0.5162 0.5645 2.6280 2.8740
2010-11 Omaha Lancers USHL 56 24 22 46 0.821 0.4845 0.5054 2.4670 2.5734
■ 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
2014-15 Minnesota D1 BigTen SR 39 12 11 23 0.590
2013-14 Minnesota D1 BigTen JR 41 14 9 23 0.561
2012-13 Minnesota D1 WCHA-orig SO 38 9 7 16 0.421
2011-12 Minnesota D1 WCHA-orig FR 41 5 3 8 0.195
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.49
before college
→
Actual FR PPG
0.20
2011-12 · Minnesota
-60.4% vs. projection

NCAAe Rankings

#6505
Forward overall
#291
Forward born in 1993
#421
in USHL

D1 Comparables

Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.48 Average
NCAAe PPG
Sean Malone
NTDP-U18 · 2012-13 · 0.66 PPG
→ Harvard (0.65 D1 FR PPG)
0.48 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.53 Developing
NCAAe PPG
John Hayden
USHL · 2012-13 · 0.83 PPG
→ Yale (0.48 D1 FR PPG)
0.51 Average
NCAAe PPG
Evan Allen
NTDP-U18 · 2012-13 · 0.72 PPG
→ Michigan (0.26 D1 FR PPG)
0.51 Developing
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 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.