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Jordan Martin Elite Prospects ↗

Position: Forward DOB: 1997-06-28 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
2014-15 Neepawa Titans MJHL 42 4 8 12 0.286 0.0550 0.0598 0.1802 0.1960
2015-16 Neepawa Titans MJHL 56 10 21 31 0.554 0.1066 0.1103 0.3491 0.3614
2016-17 Neepawa Titans MJHL 48 8 26 34 0.708 0.1363 0.1344 0.4467 0.4406
2017-18 Neepawa Titans MJHL 60 16 52 68 1.133 0.2182 0.2046 0.7147 0.6703
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 Wisconsin-Superior D3 BigTen JR 10 2 5 7 0.700
2019-20 Wisconsin-Superior D3 BigTen SO 29 3 11 14 0.483
2018-19 Wisconsin-Superior D3 BigTen FR 25 2 10 12 0.480
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
Actual FR PPG
0.48
2018-19 · Wisconsin-Superior
+217.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
18%
NCAA D2/D3
48%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#23278
Forward overall
#1059
Forward born in 1997
#243
in MJHL

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Augsburg · 2018-19
0.739 Strong
actual D2/3 PPG
Utica · 2011-12
0.815 Strong
actual D2/3 PPG
Norwich · 2022-23
0.400 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.