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Tory Dello Elite Prospects ↗

Position: Defense DOB: 1997-02-14 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
2012-13 Tri-City Storm USHL 3 0 0 0 0.000 — — — —
2013-14 Tri-City Storm USHL 46 2 5 7 0.152 0.0898 0.0979 0.4571 0.4983
2014-15 Tri-City Storm USHL 53 2 15 17 0.321 0.1892 0.1970 0.9635 1.0030
2015-16 Tri-City Storm USHL 50 3 9 12 0.240 0.1416 0.1408 0.7208 0.7168
■ 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
2019-20 Notre Dame D1 BigTen SR 37 3 10 13 0.351
2018-19 Notre Dame D1 BigTen JR 40 2 11 13 0.325
2017-18 Notre Dame D1 BigTen SO 38 1 1 2 0.053
2016-17 Notre Dame D1 BigTen FR 39 1 11 12 0.308
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.31
2016-17 · Notre Dame
+99.7% vs. projection

NCAAe Rankings

#10685
Defenseman overall
#1744
Defenseman born in 1997
#3306
in USHL

D1 Comparables

Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Sam Piazza
USHL · 2012-13 · 0.16 PPG
→ Michigan (0.10 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Carter Wagner
Bethel · 2018-19
0.875 Strong
actual D2/3 PPG
Ryan Dunner
Fredonia · 2014-15
0.545 Average
actual D2/3 PPG
Jared Coccimiglio
Neumann · 2022-23
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.