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Jared Martin Elite Prospects ↗

Position: Forward DOB: 1994-12-26 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
2011-12 Notre Dame Hounds SJHL 1 1 0 1 1.000 0.2562 0.2859 0.7538 0.8410
2012-13 Notre Dame Hounds SJHL 48 9 11 20 0.417 0.1068 0.1144 0.3141 0.3365
2013-14 Notre Dame Hounds SJHL 48 7 8 15 0.312 0.0801 0.0816 0.2356 0.2400
2014-15 Notre Dame Hounds SJHL 52 15 17 32 0.615 0.1577 0.1523 0.4639 0.4481
■ 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
2018-19 Manhattanville D1 UCHC SR 23 3 6 9 0.391
2018-19 Manhattanville D3 UCHC SR 23 3 6 9 0.391
2017-18 Manhattanville D3 UCHC JR 18 6 3 9 0.500
2016-17 Manhattanville D3 UCHC SO 10 0 1 1 0.100
2015-16 Manhattanville D3 UCHC FR 21 4 4 8 0.381
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.38
2015-16 · Manhattanville
+258.8% vs. projection

NCAAe Rankings

#37846
Forward overall
#1492
Forward born in 1994
#935
in SJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Tristan Simm
Chatham · 2016-17
0.480 Average
actual D2/3 PPG
Connor Roach
SUNY Brockport · 2022-23
0.421 Average
actual D2/3 PPG
Niko Happo
Manhattanville · 2016-17
0.518 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.