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Dalton Norris Elite Prospects ↗

Position: Defense DOB: 2001-09-28 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 U.S. National U18 Team NTDP-U18 1 0 0 0 0.000 — — — —
2019-20 Lincoln Stars USHL 47 1 8 9 0.192 0.1177 0.1177 0.5642 0.5642
2020-21 Lincoln Stars USHL 27 1 8 9 0.333 0.2049 0.2049 0.9820 0.9820
2021-22 Lincoln Stars USHL 62 26 28 54 0.871 0.5354 0.4940 2.5661 2.3675
■ 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 Bowling Green D1 CCHA SR 27 1 12 13 0.481
2024-25 Bowling Green D1 CCHA JR 36 2 15 17 0.472
2023-24 Bowling Green D1 CCHA SO 23 5 5 10 0.435
2022-23 Bowling Green D1 CCHA FR 36 2 9 11 0.306
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.47
before college
→
Actual FR PPG
0.31
2022-23 · Bowling Green
-34.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#2473
Defenseman overall
#566
Defenseman born in 2001

D1 Comparables

Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.44 Elite D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.39 Strong D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG

D2/3 Comparables

Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 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.