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Anthony Pickering Elite Prospects ↗

Position: Forward DOB: 1993-10-22 Country: Canada
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
2011-12 Melfort Mustangs SJHL 58 9 7 16 0.276 0.0707 0.0747 0.2080 0.2198
2012-13 Melfort Mustangs SJHL 50 11 9 20 0.400 0.1025 0.1038 0.3015 0.3052
2013-14 Melfort Mustangs SJHL 53 19 34 53 1.000 0.2562 0.2459 0.7538 0.7234
■ 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
2016-17 Concordia D3 MIAC GR 16 0 1 1 0.062
2016-17 Concordia (WI) D3 NCHA JR 16 0 1 1 0.062
2015-16 Concordia D3 MIAC SR 24 6 7 13 0.542
2015-16 Concordia (WI) D3 NCHA SO 24 6 7 13 0.542
2014-15 Concordia D3 MIAC JR 21 9 8 17 0.809
2014-15 Concordia (WI) D3 NCHA FR 21 9 8 17 0.809
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.81
2014-15 · Concordia
+400.3% vs. projection

NCAAe Rankings

#28977
Forward overall
#992
Forward born in 1993
#535
in SJHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
R.G. Flath
Milwaukee School of Engineering · 2004-05
1.240 Elite
actual D2/3 PPG
Jory Mullin
Neumann · 2012-13
0.609 Average
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.