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Jack Jenkins Elite Prospects ↗

Position: Forward DOB: 1995-07-11 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 62 5 21 26 0.419 0.2474 0.2615 1.2596 1.3313
2013-14 Des Moines Buccaneers USHL 59 8 15 23 0.390 0.2299 0.2322 1.1707 1.1826
2014-15 — USHL 53 14 21 35 0.660 0.3896 0.3744 1.9834 1.9062
■ 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 Notre Dame D1 BigTen SR 40 3 10 13 0.325
2017-18 Notre Dame D1 BigTen — 40 3 10 13 0.325
2017-18 Suffolk D3 CNE SR 25 3 0 3 0.120
2016-17 Notre Dame D1 BigTen — 36 7 5 12 0.333
2016-17 Suffolk D3 CNE JR 25 3 5 8 0.320
2015-16 Notre Dame D1 BigTen — 28 2 2 4 0.143
2015-16 Suffolk D3 CNE SO 22 3 3 6 0.273
2014-15 Suffolk D3 CNE FR 26 3 6 9 0.346
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.35
2014-15 · Suffolk
+65.8% vs. projection

NCAAe Rankings

#14415
Forward overall
#565
Forward born in 1995
#1377
in USHL

D1 Comparables

Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG

D2/3 Comparables

Donny Flynn
Wilkes · 2015-16
1.423 Elite
actual D2/3 PPG
Niko Schoner
Canton · 2022-23
1.000 Elite
actual D2/3 PPG
Mathew Thompson
Adrian · 2013-14
1.536 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.