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Haralds Jirgens Elite Prospects ↗

Position: Defense DOB: 2000-06-10 Country: Latvia
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 Wisconsin Rapids Riverkings USPHL-Premier 22 9 9 18 0.818 0.1070 0.1107 0.2777 0.2872
2019-20 Wisconsin Rapids Riverkings USPHL-Premier 42 21 34 55 1.310 0.1713 0.1713 0.4444 0.4444
■ 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
2024-25 Lebanon Valley D3 MAC — 10 4 0 4 0.400
2023-24 Lebanon Valley D3 MAC — 25 3 3 6 0.240
2022-23 Lebanon Valley D3 MAC — 24 2 6 8 0.333
2021-22 Arcadia D3 MAC — 24 2 7 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.38
2021-22 · Arcadia
+258.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

0%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#2912
Defenseman overall
#621
Defenseman born in 2000
#816
in USPHL-Premier

D1 Comparables

Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Scott Moldenhauer
USHL · 2012-13 · 0.21 PPG
→ Western Michigan (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Josh McArdle
USHL · 2012-13 · 0.16 PPG
→ Brown (0.23 D1 FR PPG)
0.09 Average D
NCAAe PPG
Chris Leibinger
USHL · 2012-13 · 0.33 PPG
→ Michigan Tech (0.13 D1 FR PPG)
0.19 Developing D
NCAAe PPG

D2/3 Comparables

Andrei Buchko
Concordia · 2015-16
0.200 Developing
actual D2/3 PPG
Patrick Del Vecchio
Alvernia · 2018-19
0.667 Strong
actual D2/3 PPG
Ryan Hintz
Wisconsin-Stevens Point · 2021-22
0.500 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.