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Brady Lindauer Elite Prospects ↗

Position: Forward DOB: 1999-06-15 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
2017-18 Coulee Region Chill NAHL 7 0 1 1 0.143 0.0566 0.0589 0.1500 0.1562
2018-19 Coulee Region Chill NA3HL 46 59 75 134 2.913 0.6700 0.6560 0.9228 0.9035
■ 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
2022-23 Saint Mary's (MN) D3 MIAC SR 25 7 6 13 0.520
2021-22 Saint Mary's (MN) D3 MIAC JR 23 5 11 16 0.696
2020-21 Saint Mary's (MN) D1 — SO 9 3 8 11 1.222
2020-21 Saint Mary's (MN) D3 — SO 9 3 8 11 1.222
2019-20 Saint Mary's (MN) D1 — FR 21 4 6 10 0.476
2019-20 Saint Mary's (MN) D3 — FR 21 4 6 10 0.476
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.48
2019-20 · Saint Mary's (MN)
+33.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
18%
Other

NCAAe Rankings

#4226
Forward overall
#168
Forward born in 1999

D1 Comparables

J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.58 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.58 Elite
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.56 Average
NCAAe PPG

D2/3 Comparables

Lee Swallow
Milwaukee School of Engineering · 2003-04
1.214 Elite
actual D2/3 PPG
Nikita Kozyrev
Buffalo State · 2017-18
1.231 Elite
actual D2/3 PPG
Matthew Manning
Worcester State · 2015-16
0.750 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.