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

Dallas Gerads Elite Prospects ↗

Position: Forward DOB: 1996-06-01 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
2013-14 Rio Grande Valley Killer Bees NAHL 5 0 1 1 0.200 0.0735 0.0801 0.2111 0.2301
2014-15 Rio Grande Valley Killer Bees NAHL 59 20 11 31 0.525 0.1930 0.2003 0.5546 0.5755
2015-16 Dubuque Fighting Saints USHL 55 14 16 30 0.545 0.3218 0.3087 1.6384 1.5716
2016-17 Dubuque Fighting Saints USHL 54 10 29 39 0.722 0.4260 0.3869 2.1691 1.9699
■ 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
2020-21 Minnesota State D1 WCHA SR 28 9 10 19 0.679
2019-20 Minnesota State D1 WCHA JR 33 8 17 25 0.758
2018-19 Minnesota State D1 WCHA SO 37 12 9 21 0.568
2017-18 Minnesota State D1 WCHA FR 27 7 7 14 0.518
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.52
2017-18 · Minnesota State
+70.3% vs. projection

NCAAe Rankings

#11708
Forward overall
#476
Forward born in 1996

D1 Comparables

T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Joseph Sposit
Nichols · 2010-11
0.778 Strong
actual D2/3 PPG
Jake McAlpine
Wisconsin-Stout · 2022-23
0.542 Average
actual D2/3 PPG
Dylan Clarke
SUNY Plattsburgh · 2006-07
1.267 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.