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Matt Gingera Elite Prospects ↗

Position: Forward DOB: 1987-12-31 Country: Canada
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
2005-06 Winnipeg Saints MJHL 59 34 25 59 1.000 0.2719 0.2880 0.6302 0.6676
2006-07 Winnipeg Saints MJHL 63 49 42 91 1.444 0.3927 0.3976 0.9103 0.9216
2007-08 Winnipeg Saints MJHL 62 66 45 111 1.790 0.4868 0.4666 1.1282 1.0814
■ 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
2011-12 Sacred Heart D1 AHA SR 37 17 16 33 0.892
2010-11 Sacred Heart D1 AHA JR 32 21 9 30 0.938
2009-10 Sacred Heart D1 AHA SO 37 11 12 23 0.622
2008-09 Sacred Heart D1 AHA FR 36 12 11 23 0.639
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.64
2008-09 · Sacred Heart
+70.0% vs. projection

NCAAe Rankings

#8431
Forward overall
#298
Forward born in 1987
#21
in MJHL

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Greg Harris
Wisconsin-Eau Claire · 2000-01
0.722 Strong
actual D2/3 PPG
Nick Catanzaro
SUNY Cortland · 2002-03
0.958 Strong
actual D2/3 PPG
Nikita Kozyrev
Buffalo State · 2018-19
1.231 Elite
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.