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Brendan Aird Elite Prospects ↗

Position: Defense DOB: 1998-07-20 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
2015-16 Janesville Jets NAHL 2 0 0 0 0.000 — — — —
2016-17 — NAHL 27 1 3 4 0.148 0.0550 0.0575 0.1568 0.1640
2017-18 St. Cloud Norsemen NAHL 60 2 24 26 0.433 0.1609 0.1603 0.4588 0.4571
2018-19 — NAHL 59 3 22 25 0.424 0.1573 0.1497 0.4486 0.4269
■ 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 St. Norbert D3 NCHA SR 28 3 12 15 0.536
2021-22 St. Norbert D3 NCHA JR 29 2 12 14 0.483
2020-21 St. Norbert D3 NCHA SO 0 0 0 0 0.000
2019-20 St. Norbert D3 NCHA FR 28 5 7 12 0.429
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.43
2019-20 · St. Norbert
+195.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
18%
NCAA D2/D3
65%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#8339
Defenseman overall
#1289
Defenseman born in 1998
#3652
in NAHL

D1 Comparables

Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Jake Flynn
NAHL · 2012-13 · 0.39 PPG
→ UConn (0.30 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Casey Nelson
NAHL · 2012-13 · 0.57 PPG
→ Minnesota State (0.26 D1 FR PPG)
0.20 Average D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.14 Developing D
NCAAe PPG

D2/3 Comparables

Jordan Neduzak
Wisconsin-Superior · 2012-13
0.429 Average
actual D2/3 PPG
Johnny Panvica
St. Thomas · 2015-16
0.955 Strong
actual D2/3 PPG
Nick Polsinelli
Trinity · 2016-17
0.350 Average
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.