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Matthew Headland Elite Prospects ↗

Position: Forward DOB: 1998-08-18 Country: England
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 Charlotte Rush USPHL-Elite 42 36 31 67 1.595 0.1913 0.1997 0.7941 0.8336
2017-18 New Jersey Jr. Titans NAHL 7 2 1 3 0.429 0.1591 0.1591 0.4538 0.4539
2018-19 Corpus Christi IceRays NAHL 39 5 10 15 0.385 0.1428 0.1365 0.4072 0.3891
■ 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
2022-23 Canton D3 — SR 25 8 6 14 0.560
2021-22 Canton D3 — JR 20 6 4 10 0.500
2019-20 Canton D3 — FR 22 7 8 15 0.682
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.68
2019-20 · Canton
+447.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
35%
NCAA D2/D3
60%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#25946
Forward overall
#1077
Forward born in 1998

D1 Comparables

Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Colby Seitz
SUNY Cortland · 2021-22
0.957 Strong
actual D2/3 PPG
Raphael Lajeunesse
Southern Maine · 2021-22
0.294 Developing
actual D2/3 PPG
Billy Grant
UMass Boston · 2018-19
0.391 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.