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Joseph Harguindeguy Elite Prospects ↗

Position: Forward DOB: 2001-10-30 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
2018-19 Minot Minotauros NAHL 42 4 8 12 0.286 0.1050 0.1171 0.3016 0.3365
2019-20 Minot Minotauros NAHL 47 9 11 20 0.425 0.1563 0.1563 0.4491 0.4491
2020-21 — NAHL 57 15 21 36 0.632 0.2320 0.2320 0.6667 0.6667
2021-22 Oklahoma Warriors NAHL 59 14 26 40 0.678 0.2491 0.2411 0.7156 0.6925
■ 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 Concordia D3 MIAC SR 25 13 10 23 0.920
2024-25 Concordia D3 MIAC JR 25 7 6 13 0.520
2023-24 Concordia D3 MIAC SO 19 3 14 17 0.895
2022-23 Concordia D3 MIAC FR 26 12 10 22 0.846
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.85
2022-23 · Concordia
+416.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
8%
NCAA D2/D3
25%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#22222
Forward overall
#1095
Forward born in 2001
#1612
in NAHL

D1 Comparables

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
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG

D2/3 Comparables

Nick Zilka
Hamline · 2006-07
0.760 Strong
actual D2/3 PPG
Maxwell Reavis
UMass Boston · 2011-12
1.000 Elite
actual D2/3 PPG
Brett Bestwick
SUNY Geneseo · 2002-03
0.762 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.