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David Loahr Elite Prospects ↗

Position: Forward DOB: 2003-09-22 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
2019-20 Irondale USHS-MN 27 6 4 10 0.370 0.0469 0.0469 0.0900 0.0900
2020-21 Irondale USHS-MN 20 2 5 7 0.350 0.0443 0.0443 0.0850 0.0850
2022-23 North Iowa Bulls NA3HL 37 9 10 19 0.513 0.0644 0.0644 0.1621 0.1622
2023-24 North Iowa Bulls NA3HL 47 16 20 36 0.766 0.0961 0.0915 0.2418 0.2303
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
2025-26 University of Mary ACHA_D1 40 14 19 33 0.825
2024-25 University of Mary ACHA_D1 40 14 19 33 0.825
2023-24 University of Mary ACHA_D1 40 14 19 33 0.825
2022-23 University of Mary ACHA_D1 40 14 19 33 0.825
2021-22 University of Mary ACHA_D1 40 14 19 33 0.825
2020-21 University of Mary ACHA_D1 40 14 19 33 0.825
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
Actual FR PPG
0.82
2020-21 · University of Mary
+1957.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#38907
Forward overall
#2427
Forward born in 2003

D1 Comparables

USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

King's · 2016-17
0.000 No data
actual D2/3 PPG
Gustavus Adolphus · 2021-22
0.364 Average
actual D2/3 PPG
Wisconsin-Eau Claire · 2013-14
0.550 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.