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Jack Randl Elite Prospects ↗

Position: Forward DOB: 2000-05-07 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
2016-17 Omaha Lancers USHL 59 9 10 19 0.322 0.1899 0.2098 0.9487 1.0481
2017-18 Omaha Lancers USHL 49 20 12 32 0.653 0.3853 0.4065 1.9242 2.0302
2019-20 Omaha Lancers USHL 50 12 37 49 0.980 0.5781 0.5781 2.8873 2.8873
■ 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
2023-24 Nebraska Omaha D1 NCHC GR 39 13 13 26 0.667
2022-23 Nebraska Omaha D1 NCHC SR 37 18 16 34 0.919
2021-22 Nebraska Omaha D1 NCHC JR 38 9 11 20 0.526
2020-21 Nebraska Omaha D1 NCHC SO 24 5 8 13 0.542
2018-19 Michigan D1 BigTen FR 22 0 1 1 0.045
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.05
2018-19 · Michigan
-83.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
18%
Pro / Other

NCAAe Rankings

#6996
Forward overall
#281
Forward born in 2000
#543
in USHL

D1 Comparables

Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.44 Strong
NCAAe PPG
Scott Conway
NAHL · 2012-13 · 0.95 PPG
→ Penn State (0.76 D1 FR PPG)
0.36 Strong
NCAAe PPG
Sean Malone
NTDP-U18 · 2012-13 · 0.66 PPG
→ Harvard (0.65 D1 FR PPG)
0.48 Strong
NCAAe PPG
Frederik Tiffels
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.66 D1 FR PPG)
0.31 Strong
NCAAe PPG
Mike Marnell
USHL · 2012-13 · 0.49 PPG
→ St. Lawrence (0.53 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Logan DiScanio
New England · 2017-18
1.000 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2002-03
1.800 Elite
actual D2/3 PPG
Brycon Johnson
Bryn Athyn · 2014-15
0.778 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.