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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 0.1925 0.2039 0.6319 0.6694
2006-07 Winnipeg Saints MJHL 63 49 42 91 1.444 0.2780 0.2814 0.9127 0.9240
2007-08 Winnipeg Saints MJHL 62 66 45 111 1.790 0.3446 0.3303 1.1313 1.0844
■ 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
0.27
before college
→
Actual FR PPG
0.64
2008-09 · Sacred Heart
+140.2% vs. projection

NCAAe Rankings

#9014
Forward overall
#314
Forward born in 1987
#15
in MJHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Greg Harris
Wisconsin-Eau Claire · 2000-01
0.722 Strong
actual D2/3 PPG
Simon Boyko
Aurora · 2018-19
1.037 Elite
actual D2/3 PPG
Danny Liscio
SUNY Morrisville · 2013-14
1.083 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.