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Riley Alferd Elite Prospects ↗

Position: Forward DOB: 1995-03-26 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 Muskegon Lumberjacks USHL 4 0 0 0 0.000 — — — —
2012-13 Muskegon Lumberjacks USHL 55 5 6 11 0.200 0.1274 0.1328 0.5993 0.6247
2013-14 Penticton Vees BCHL 57 7 17 24 0.421 0.1639 0.1672 0.6141 0.6265
2014-15 Penticton Vees BCHL 58 18 28 46 0.793 0.3087 0.3006 1.1566 1.1261
■ 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 Nebraska Omaha D1 NCHC SR 34 4 2 6 0.176
2017-18 Nebraska Omaha D1 NCHC JR 35 2 7 9 0.257
2016-17 Nebraska Omaha D1 NCHC SO 14 3 1 4 0.286
2015-16 Nebraska Omaha D1 NCHC FR 23 0 1 1 0.043
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.04
2015-16 · Nebraska Omaha
-79.4% vs. projection

NCAAe Rankings

#17647
Forward overall
#669
Forward born in 1995

D1 Comparables

Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.30 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Stanislav Dzakhov
NAHL · 2012-13 · 0.69 PPG
→ Niagara (0.44 D1 FR PPG)
0.25 Average
NCAAe PPG
Kyle Bauman
NAHL · 2012-13 · 0.70 PPG
→ Bemidji State (0.53 D1 FR PPG)
0.26 Average
NCAAe PPG

D2/3 Comparables

Gavin Bloder
Fredonia · 2022-23
0.750 Strong
actual D2/3 PPG
Tommy Malkmus
Finlandia · 2013-14
0.409 Average
actual D2/3 PPG
Sean David
Canton · 2016-17
0.800 Strong
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.