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Mitchell McPherson Elite Prospects ↗

Position: Forward DOB: 1994-05-19 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
2011-12 Texas Tornado NAHL 47 5 9 14 0.298 0.1094 0.1191 0.3144 0.3423
2012-13 Texas Tornado NAHL 59 14 13 27 0.458 0.1681 0.1746 0.4830 0.5016
2013-14 Amarillo Bulls NAHL 60 9 11 20 0.333 0.1225 0.1211 0.3518 0.3477
2014-15 Amarillo Bulls NAHL 16 1 2 3 0.188 0.0689 0.0645 0.1979 0.1852
■ 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
2018-19 Hamline D3 MIAC SR 25 6 4 10 0.400
2017-18 Hamline D3 MIAC JR 25 15 6 21 0.840
2016-17 Hamline D3 MIAC SO 26 9 17 26 1.000
2015-16 Hamline D3 MIAC FR 27 13 14 27 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
1.00
2015-16 · Hamline
+1240.5% vs. projection

NCAAe Rankings

#38312
Forward overall
#1520
Forward born in 1994
#4013
in NAHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Chris Rampone
St. Norbert · 2003-04
0.000 No data
actual D2/3 PPG
Ben Vikich
St. Thomas · 2014-15
0.280 Developing
actual D2/3 PPG
Peter Falivena
Bryn Athyn · 2018-19
0.368 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.