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Derek Gingera Elite Prospects ↗

Position: Forward DOB: 1991-06-01 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
2007-08 Selkirk Steelers MJHL 2 1 0 1 0.500 0.1414 0.1597 0.3150 0.3558
2008-09 Selkirk Steelers MJHL 62 23 29 52 0.839 0.2373 0.2563 0.5285 0.5708
2009-10 Selkirk Steelers MJHL 41 14 13 27 0.658 0.1863 0.1929 0.4149 0.4295
2010-11 Selkirk Steelers MJHL 61 33 27 60 0.984 0.2783 0.2746 0.6198 0.6115
2011-12 Winnipeg Blues MJHL 53 43 28 71 1.340 0.3790 0.3549 0.8441 0.7903
■ 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 Castleton D3 LittleEast SR 25 8 6 14 0.560
2014-15 Castleton D3 LittleEast JR 21 3 9 12 0.571
2013-14 Castleton D3 LittleEast SO 22 10 5 15 0.682
2012-13 Castleton D3 LittleEast FR 20 1 1 2 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.10
2012-13 · Castleton
-63.8% vs. projection

NCAAe Rankings

#10211
Forward overall
#398
Forward born in 1991
#140
in MJHL

D1 Comparables

Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Brandon Adams
NAHL · 2012-13 · 1.25 PPG
→ Holy Cross
0.44 No data
NCAAe PPG

D2/3 Comparables

Jarrett Cammarata
Bethel · 2018-19
0.680 Strong
actual D2/3 PPG
Nick Yzaguirre
Utica · 2017-18
0.350 Average
actual D2/3 PPG
Dallas Marvin
Bethel · 2014-15
0.640 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.