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Ryan Gingher Elite Prospects ↗

Position: Forward DOB: 2004-06-22 Country: USA
No commitment set

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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
2021-22 Janesville Jets NAHL 1 0 0 0 0.000 — — — —
2022-23 — NAHL 48 8 4 12 0.250 0.0919 0.0966 0.2639 0.2773
2023-24 El Paso Rhinos NAHL 46 6 4 10 0.217 0.0799 0.0801 0.2295 0.2302
2024-25 Watertown Shamrocks NAHL 55 11 14 25 0.455 0.1670 0.1587 0.4797 0.4560
■ 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 St. Norbert D3 NCHA FR 30 7 10 17 0.567
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.57
2025-26 · St. Norbert
+420.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
28%
NCAA D2/D3
35%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#39918
Forward overall
#2562
Forward born in 2004
#4222
in NAHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Bobby Polachek
Fredonia · 2014-15
0.958 Strong
actual D2/3 PPG
Patrick Roginski
Wilkes · 2021-22
0.368 Average
actual D2/3 PPG
Manny Sanchez
SUNY Brockport · 2021-22
0.565 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.