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Matt Colford Elite Prospects ↗

Position: Forward DOB: 1994-06-27 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
2013-14 Minnesota Magicians NAHL 57 18 23 41 0.719 0.2671 0.2654 0.7616 0.7567
2014-15 — NAHL 60 12 22 34 0.567 0.2104 0.1980 0.6000 0.5647
■ 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 Saint John's D3 — SR 27 8 12 20 0.741
2017-18 Saint John's D3 — JR 25 6 10 16 0.640
2016-17 Saint John's D3 — SO 12 4 9 13 1.083
2015-16 Saint John's D3 — FR 26 6 10 16 0.615
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.62
2015-16 · Saint John's
+219.5% vs. projection

NCAAe Rankings

#16334
Forward overall
#672
Forward born in 1994
#1289
in NAHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Brent Cooper
Wisconsin-River Falls · 2003-04
0.500 Average
actual D2/3 PPG
Cody Ayers
Castleton · 2007-08
0.571 Average
actual D2/3 PPG
Andrew Morris
Elmira · 2001-02
0.500 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.