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Matt Moore Elite Prospects ↗

Position: Forward DOB: 1981-07-10 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
2000-01 Omaha Lancers USHL 32 2 2 4 0.125 0.0796 0.0785 0.3746 0.3694
2001-02 Omaha Lancers USHL 60 9 13 22 0.367 0.2335 0.2186 1.0989 1.0289
■ 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
2015-16 Lawrence D3 ECAC SR 26 7 2 9 0.346
2014-15 Lawrence D3 ECAC JR 27 6 5 11 0.407
2013-14 Lawrence D3 ECAC SO 27 2 5 7 0.259
2012-13 Lawrence D3 ECAC FR 27 6 5 11 0.407
2003-04 RIT D1 — SR 25 4 4 8 0.320
2002-03 RIT D1 — JR 24 3 10 13 0.542
2001-02 RIT D1 — SO 26 4 11 15 0.577
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.58
2001-02 · RIT
+758.5% vs. projection

NCAAe Rankings

#24369
Forward overall
#621
Forward born in 1981
#3183
in USHL

D1 Comparables

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
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 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

Josh Cousineau
Adrian · 2009-10
0.773 Strong
actual D2/3 PPG
Mike Domsodi
Wentworth · 2010-11
1.250 Elite
actual D2/3 PPG
Austin Morgan
New England · 2017-18
0.714 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.