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Matthew Manning Elite Prospects ↗

Position: Forward DOB: 1996-05-20 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
2015-16 Rochester Jr. Americans USPHL-Elite 40 19 29 48 1.200 0.1439 0.1423 0.8237 0.8294
2016-17 Philadelphia Jr. Flyers EHL 43 16 23 39 0.907 0.1946 0.1863 — —
■ 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
2020-21 Worcester State D3 MASCAC SR 0 0 0 0 0.000
2019-20 Worcester State D3 MASCAC JR 26 10 9 19 0.731
2018-19 Worcester State D3 MASCAC SO 27 12 19 31 1.148
2017-18 Worcester State D3 MASCAC FR 24 7 11 18 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.75
2017-18 · Worcester State
+419.4% vs. projection

NCAAe Rankings

#23842
Forward overall
#1000
Forward born in 1996

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.30 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State (0.17 D1 FR PPG)
0.37 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

Cam Doull
Lake Forest · 2001-02
0.893 Strong
actual D2/3 PPG
Jhuwon Davis
New England College · 2017-18
0.741 Strong
actual D2/3 PPG
Anthony Iacullo
Saint Anselm · 2016-17
0.655 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.