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Tory Lund Elite Prospects ↗

Position: Forward DOB: 2004-07-30 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
2019-20 Sartell USHS-MN 26 13 10 23 0.885 0.2381 0.2381 0.2149 0.2149
2020-21 Sartell USHS-MN 19 10 15 25 1.316 0.3542 0.3542 0.3196 0.3196
2021-22 Sartell USHS-MN 26 29 25 54 2.077 0.5591 0.5591 0.5045 0.5045
2022-23 — NAHL 57 6 14 20 0.351 0.1390 0.1468 0.3684 0.3891
2023-24 El Paso Rhinos NAHL 60 18 30 48 0.800 0.3170 0.3196 0.8399 0.8469
■ 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 Bemidji State D1 CCHA SO 24 4 2 6 0.250
2024-25 Bemidji State D1 CCHA — 8 0 3 3 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.38
2024-25 · Bemidji State
+74.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
2%
NCAA D2/D3
42%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#23756
Forward overall
#1314
Forward born in 2004

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.42 Developing
NCAAe PPG
Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.34 Developing
NCAAe PPG

D2/3 Comparables

Michael Padgeon
Anna Maria · 2017-18
0.706 Strong
actual D2/3 PPG
Mike Fiume
Neumann · 2002-03
1.040 Elite
actual D2/3 PPG
Ross Enmark
Curry · 2004-05
1.308 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.