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Jack Jensen Elite Prospects ↗

Position: Forward DOB: 2000-08-31 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
2017-18 Tri-City Storm USHL 11 0 1 1 0.091 0.0536 0.0574 0.2730 0.2924
2018-19 Minnesota Magicians NAHL 6 2 4 6 1.000 0.3674 0.3885 1.0555 1.1161
2019-20 Omaha Lancers USHL 45 9 19 28 0.622 0.3670 0.3670 1.8687 1.8687
2020-21 Omaha Lancers USHL 12 4 12 16 1.333 0.7865 0.7865 4.0044 4.0044
■ 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 Augustana D1 CCHA — 15 4 4 8 0.533
2022-23 Arizona State D1 NCHC — 28 3 4 7 0.250
2021-22 Arizona State D1 NCHC — 32 6 8 14 0.438
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.44
2021-22 · Arizona State
+99.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
0%
NCAA D2/D3
38%
Pro / Other

NCAAe Rankings

#5627
Forward overall
#232
Forward born in 2000
#317
in USHL

D1 Comparables

Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Ryan Kero
Saint John's · 2014-15
0.480 Average
actual D2/3 PPG
Cameron Wright
Stonehill · 2016-17
0.731 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2012-13
1.161 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.