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Matthew Delany Elite Prospects ↗

Position: Defense DOB: 2002-03-29 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
2020-21 Granite City Lumberjacks NA3HL 32 1 6 7 0.219 0.0275 0.0275 0.0691 0.0691
2021-22 Amarillo Wranglers NAHL 25 0 0 0 0.000 — — — —
2022-23 Minnesota Wilderness NAHL 7 0 1 1 0.143 0.0525 0.0493 0.1508 0.1416
■ 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 University of Utah ACHA_D1 — — 25 9 22 31 1.240
2024-25 University of Utah ACHA_D1 — — 25 9 22 31 1.240
2023-24 University of Utah ACHA_D1 — — 25 9 22 31 1.240
2022-23 University of Utah ACHA_D1 — — 25 9 22 31 1.240
2021-22 University of Utah ACHA_D1 — — 25 9 22 31 1.240
2020-21 University of Utah ACHA_D1 — — 25 9 22 31 1.240

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
12%
NCAA D2/D3
60%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#17752
Defenseman overall
#3061
Defenseman born in 2002

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Joe Santoro
Fredonia · 2021-22
0.200 Developing
actual D2/3 PPG
Evan Grobanopoulos
Salve Regina · 2023-24
0.000 No data
actual D2/3 PPG
Nick LeSage
St. Norbert · 2014-15
0.364 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.