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Matthew Hale Elite Prospects ↗

Position: Forward DOB: 2004-02-16 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
2021-22 Tilton NE-Prep 24 25 22 47 1.958 0.3778 0.3778 0.8961 0.8961
2022-23 Janesville Jets NAHL 51 5 16 21 0.412 0.1463 0.1512 0.4323 0.4468
2023-24 — NAHL 56 12 19 31 0.554 0.1966 0.1938 0.5812 0.5729
■ 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
2025-26 Plymouth State D3 LittleEast — 26 7 13 20 0.769
2024-25 Plymouth State D3 LittleEast — 21 4 8 12 0.571
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.57
2024-25 · Plymouth State
+277.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#17944
Forward overall
#911
Forward born in 2004

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Greg Whittle
Elmira · 2010-11
0.731 Strong
actual D2/3 PPG
Rick Varone
SUNY Oswego · 2002-03
0.652 Strong
actual D2/3 PPG
Ryan Luiten
Neumann · 2011-12
0.692 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.