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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 0.1120 0.1120 0.2149 0.2149
2020-21 Sartell USHS-MN 19 10 15 25 1.316 0.1666 0.1666 0.3196 0.3196
2021-22 Sartell USHS-MN 26 29 25 54 2.077 0.2629 0.2629 0.5045 0.5045
2022-23 — NAHL 57 6 14 20 0.351 0.1289 0.1361 0.3704 0.3912
2023-24 El Paso Rhinos NAHL 60 18 30 48 0.800 0.2939 0.2963 0.8444 0.8514
■ 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
0.20
before college
→
Actual FR PPG
0.38
2024-25 · Bemidji State
+88.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
10%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#23585
Forward overall
#1312
Forward born in 2004

D1 Comparables

C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.29 Strong
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Michael Padgeon
Anna Maria · 2017-18
0.706 Strong
actual D2/3 PPG
Andréas Fleutot
Westfield State · 2021-22
0.462 Average
actual D2/3 PPG
Shane Baker
Skidmore · 2023-24
0.704 Strong
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.