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Tanner Glasrud Elite Prospects ↗

Position: Defense DOB: 2000-03-11 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
2018-19 Swan Valley Stampeders MJHL 48 0 8 8 0.167 0.0321 0.0327 0.1051 0.1070
2019-20 Swan Valley Stampeders MJHL 35 0 8 8 0.229 0.0440 0.0440 0.1441 0.1441
2020-21 Pueblo Bulls USPHL-Premier 12 0 1 1 0.083 0.0094 0.0094 0.0283 0.0283
■ 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 Post D2 NE10 — 24 0 3 3 0.125
2024-25 Post D2 NE10 — 25 2 2 4 0.160
2023-24 Post D2 NE10 — 15 1 1 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.13
2023-24 · Post
+331.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
90%
Pro / Other

NCAAe Rankings

#27370
Defenseman overall
#3702
Defenseman born in 2000

D1 Comparables

Phil Boje
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.32 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Dylan Maller
USHL · 2012-13 · 0.08 PPG
→ New Hampshire (0.15 D1 FR PPG)
0.05 Average D
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.11 Average D
NCAAe PPG
Justin Wade
USHL · 2012-13 · 0.17 PPG
→ Notre Dame
0.10 No data
NCAAe PPG
Dane Cooper
USHL · 2012-13 · 0.17 PPG
→ Brown (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Kevin Lassman
Hobart · 2018-19
0.000 No data
actual D2/3 PPG
Jake Bestul
Wisconsin-River Falls · 2016-17
0.000 No data
actual D2/3 PPG
Shawn Brennan
Marian · 2014-15
0.000 No data
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.