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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 0.1754 0.1890 0.8929 0.9621
2012-13 Sioux Falls Stampede USHL 48 3 8 11 0.229 0.1352 0.1385 0.6884 0.7051
2013-14 Odessa Jackalopes NAHL 29 3 6 9 0.310 0.1140 0.1155 — —
2014-15 — NAHL 44 6 11 17 0.386 0.1420 0.1364 0.4078 0.3916
■ 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
+106.0% vs. projection

NCAAe Rankings

#38195
Forward overall
#1511
Forward born in 1994

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
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
Philippe Longchamps
Western New England · 2023-24
0.750 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.