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Ryan Galt Elite Prospects ↗

Position: Forward DOB: 1995-08-15 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 Des Moines Buccaneers USHL 57 15 11 26 0.456 0.2904 0.3083 1.3668 1.4512
2013-14 Des Moines Buccaneers USHL 59 12 22 34 0.576 0.3670 0.3725 1.7270 1.7529
2014-15 Central Illinois Flying Aces USHL 59 9 24 33 0.559 0.3562 0.3440 1.6761 1.6189
■ 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 35 4 4 8 0.229
2017-18 Nebraska Omaha D1 NCHC JR 36 3 7 10 0.278
2016-17 Nebraska Omaha D1 NCHC SO 20 0 2 2 0.100
2015-16 Nebraska Omaha D1 NCHC FR 24 1 6 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.29
2015-16 · Nebraska Omaha
-4.1% vs. projection

NCAAe Rankings

#7742
Forward overall
#272
Forward born in 1995
#1251
in USHL

D1 Comparables

Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.33 Strong
NCAAe PPG
Andrew Mayer
NAHL · 2012-13 · 0.94 PPG
→ Ferris State (0.19 D1 FR PPG)
0.35 Developing
NCAAe PPG
C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.30 Strong
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.34 Average
NCAAe PPG
Matt Sieckhaus
NAHL · 2012-13 · 0.74 PPG
→ Bentley (0.24 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Jon Whitelaw
SUNY Oswego · 2007-08
1.357 Elite
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2013-14
1.080 Elite
actual D2/3 PPG
John Moncovich
Utica · 2016-17
0.864 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.