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Kyle Jeffers Elite Prospects ↗

Position: Forward DOB: 1999-01-06 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 New Jersey Jr. Titans NAHL 2 1 1 2 1.000 0.3962 0.4235 1.0499 1.1224
2017-18 New Jersey Jr. Titans NAHL 56 13 14 27 0.482 0.1910 0.1947 0.5062 0.5161
2018-19 New Jersey Jr. Titans NAHL 60 25 27 52 0.867 0.3434 0.3348 0.9099 0.8870
2019-20 New Jersey Jr. Titans NAHL 48 23 34 57 1.188 0.4705 0.4705 1.2468 1.2468
■ 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 Lindenwood D1 CCHA — 26 9 8 17 0.654
2022-23 Lindenwood D1 CCHA — 28 7 13 20 0.714
2020-21 American International D1 AHA FR 6 1 0 1 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.17
2020-21 · American International
-30.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
8%
NCAA D2/D3
40%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#10633
Forward overall
#470
Forward born in 1999
#284
in NAHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

Adam Kudynski
Lebanon Valley · 2003-04
0.909 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Grant Everett
Wisconsin-River Falls · 2007-08
0.708 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.