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Mac Swanson Elite Prospects ↗

Position: Forward DOB: 2006-01-10 Country: USA
2024 NHL Draft Round 7, Pick #207  ·  Pittsburgh Penguins Pittsburgh Penguins
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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
2022-23 — USHL 57 12 43 55 0.965 0.5931 0.6434 2.8428 3.0840
2023-24 Fargo Force USHL 55 26 51 77 1.400 0.8606 0.8909 4.1247 4.2699
■ 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 North Dakota D1 NCHC SO 40 11 17 28 0.700
2024-25 North Dakota D1 NCHC — 38 2 16 18 0.474
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.79
before college
→
Actual FR PPG
0.47
2024-25 · North Dakota
-39.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects
85%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#2616
Forward overall
#15
Forward born in 2006
#35
in USHL

D1 Comparables

Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.76 Elite
NCAAe PPG
Taylor Cammarata
USHL · 2012-13 · 1.58 PPG
→ Minnesota (0.69 D1 FR PPG)
1.02 Strong
NCAAe PPG
Vinnie Hinostroza
USHL · 2012-13 · 1.30 PPG
→ Notre Dame (0.94 D1 FR PPG)
0.80 Elite
NCAAe PPG
Zach Stepan
USHL · 2012-13 · 1.39 PPG
→ Minnesota (0.60 D1 FR PPG)
0.84 Strong
NCAAe PPG
Justin Kloos
USHL · 2012-13 · 1.61 PPG
→ Minnesota (0.78 D1 FR PPG)
0.97 Strong
NCAAe PPG

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 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.