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Ian Mansfield Elite Prospects ↗

Position: Forward DOB: 1994-11-14 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
2011-12 Sioux Falls Stampede USHL 37 5 6 11 0.297 0.1893 0.2040 0.8909 0.9599
2012-13 Sioux Falls Stampede USHL 48 3 8 11 0.229 0.1460 0.1495 0.6868 0.7035
2013-14 Odessa Jackalopes NAHL 29 3 6 9 0.310 0.1152 0.1167 — —
2014-15 — NAHL 44 6 11 17 0.386 0.1435 0.1378 0.4091 0.3929
■ 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 Army D1 AHA SR 37 1 3 4 0.108
2017-18 Army D1 AHA JR 15 0 1 1 0.067
2016-17 Army D1 AHA SO 34 3 8 11 0.324
2015-16 Army D1 AHA FR 31 2 5 7 0.226
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.23
2015-16 · Army
+104.0% vs. projection

NCAAe Rankings

#30438
Forward overall
#1252
Forward born in 1994

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Joshua Larson
Fitchburg State · 2015-16
0.357 Average
actual D2/3 PPG
Owen Guerin
UMass Dartmouth · 2024-25
0.000 No data
actual D2/3 PPG
Brad Pizzey
Nazareth · 2014-15
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.