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Joey Kile Elite Prospects ↗

Position: Forward DOB: 1998-02-15 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 Johnstown Tomahawks NAHL 50 9 8 17 0.340 0.1249 0.1280 0.3589 0.3677
2017-18 Johnstown Tomahawks NAHL 60 18 19 37 0.617 0.2266 0.2210 0.6509 0.6347
2018-19 Muskegon Lumberjacks USHL 5 1 1 2 0.400 0.2360 0.2106 1.2014 1.0721
■ 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 Salve Regina D3 CNE — 26 5 8 13 0.500
2022-23 Salve Regina D3 CNE — 25 16 12 28 1.120
2019-20 SUNY Plattsburgh D3 SUNYAC FR 22 4 5 9 0.409
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.41
2019-20 · SUNY Plattsburgh
+122.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
15%
NCAA D2/D3
32%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#29667
Forward overall
#1462
Forward born in 1998

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
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

Roman Ammirato
Utica · 2013-14
1.296 Elite
actual D2/3 PPG
Matthew Dozois
Wentworth · 2009-10
0.667 Strong
actual D2/3 PPG
Cole Stewart
Southern New Hampshire · 2017-18
0.462 Average
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.