IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Avery Peterson Elite Prospects ↗

Position: Forward DOB: 1995-06-20 Country: USA
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
2012-13 Sioux City Musketeers USHL 8 1 3 4 0.500 0.3184 0.3356 1.4984 1.5795
2013-14 Sioux City Musketeers USHL 27 6 15 21 0.778 0.4953 0.4989 2.3308 2.3479
■ 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
2017-18 Minnesota Duluth D1 NCHC SR 30 6 5 11 0.367
2016-17 Minnesota Duluth D1 NCHC JR 25 7 8 15 0.600
2015-16 Nebraska Omaha D1 NCHC SO 14 0 1 1 0.071
2014-15 Nebraska Omaha D1 NCHC FR 39 11 10 21 0.538
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.54
2014-15 · Nebraska Omaha
+45.1% vs. projection

NCAAe Rankings

#2829
Forward overall
#98
Forward born in 1995
#392
in USHL

D1 Comparables

Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.44 Average
NCAAe PPG
John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.52 Strong
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.58 Developing
NCAAe PPG
Jake Montgomery
USHL · 2012-13 · 0.57 PPG
→ Nebraska Omaha
0.36 No data
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 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.