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Adam Ingram Elite Prospects ↗

Position: Forward DOB: 2003-10-14 Country: Canada
2022 NHL Draft Round 3, Pick #82  ·  Nashville Predators Nashville Predators
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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
2020-21 — MJHL 8 2 5 7 0.875 0.2379 0.2379 0.5514 0.5514
2021-22 — USHL 54 26 29 55 1.018 0.6261 0.6416 3.0007 3.0749
■ 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. Cloud State D1 NCHC SR 25 3 10 13 0.520
2024-25 St. Cloud State D1 NCHC JR 29 2 6 8 0.276
2023-24 St. Cloud State D1 NCHC SO 38 10 18 28 0.737
2022-23 St. Cloud State D1 NCHC FR 41 8 15 23 0.561
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.60
before college
→
Actual FR PPG
0.56
2022-23 · St. Cloud State
-6.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
8%
Pro / Other

NCAAe Rankings

#3583
Forward overall
#81
Forward born in 2003

D1 Comparables

Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.69 Strong
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.71 Strong
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.76 Elite
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Tyler Kelleher
NTDP-U18 · 2012-13 · 0.88 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.65 Average
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2016-17
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 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.