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Larry Jungwirth Elite Prospects ↗

Position: Forward DOB: 1997-06-18 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
2014-15 Waterloo Black Hawks USHL 47 3 9 12 0.255 0.1626 0.1720 0.7651 0.8094
2015-16 NAHL 50 9 25 34 0.680 0.2525 0.2640 0.7200 0.7529
2016-17 NAHL 46 17 22 39 0.848 0.3148 0.3121 0.8977 0.8900
2017-18 Corpus Christi IceRays NAHL 55 25 22 47 0.855 0.3173 0.2989 0.9047 0.8522
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
2021-22 Aurora D3 NCHA SR 26 6 10 16 0.615
2020-21 Aurora D3 NCHA JR 11 1 4 5 0.455
2019-20 Aurora D3 NCHA SO 26 9 13 22 0.846
2018-19 Aurora D3 NCHA FR 27 5 16 21 0.778
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
Actual FR PPG
0.78
2018-19 · Aurora
+198.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
30%
NCAA D2/D3
48%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#10310
Forward overall
#403
Forward born in 1997

D1 Comparables

NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG

D2/3 Comparables

Trine · 2018-19
0.929 Strong
actual D2/3 PPG
Saint Mary's · 2017-18
0.630 Average
actual D2/3 PPG
Wentworth · 2000-01
1.000 Elite
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.