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Jordan Singer Elite Prospects ↗

Position: Forward DOB: 1988-10-25 Country: USA
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 Southern Minnesota Express NAHL 57 13 17 30 0.526 0.1954 0.1955 0.5572 0.5575
2008-09 Bismarck Bobcats NAHL 57 23 28 51 0.895 0.3322 0.3159 0.9473 0.9008
■ 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
2012-13 Wisconsin-Eau Claire D3 — SR 31 22 14 36 1.161
2011-12 Wisconsin-Eau Claire D3 — JR 28 14 6 20 0.714
2010-11 Wisconsin-Eau Claire D3 — SO 27 13 16 29 1.074
2009-10 Wisconsin-Eau Claire D3 — FR 22 6 9 15 0.682
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.68
2009-10 · Wisconsin-Eau Claire
+197.5% vs. projection

NCAAe Rankings

#12307
Forward overall
#554
Forward born in 1988
#713
in NAHL

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Mitchell Herlihey
SUNY Oswego · 2013-14
1.080 Elite
actual D2/3 PPG
Alex Storjohann
SUNY Cortland · 2016-17
0.565 Average
actual D2/3 PPG
Grant Everett
Wisconsin-River Falls · 2007-08
0.708 Strong
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.