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Cole Tuminaro Elite Prospects ↗

Position: Defense DOB: 2007-01-24 Country: USA
2026 · Round 5, Pick #140  ·  Colorado Avalanche Colorado Avalanche
Cornell
ECAC D1

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
2023-24 Sioux City Musketeers USHL 42 1 5 6 0.143 0.0843 0.0916 0.4292 0.4666
2024-25 Sioux City Musketeers USHL 1 0 0 0 0.000 — — — —
2025-26 Chicago Steel USHL 54 5 11 16 0.296 0.1748 0.1727 0.8899 0.8790
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
0%
NCAA D2/D3
12%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#11494
Defenseman overall
#1531
Defenseman born in 2007
#3388
in USHL

D1 Comparables

Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG
Vince Pedrie
USHL · 2012-13 · 0.32 PPG
→ Penn State (0.69 D1 FR PPG)
0.19 Elite D
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG

Cornell Alumni similar profiles who attended this school

Jimmy Rayhill
NE-Prep 2018-19
0.00
actual FR PPG at Cornell
Tim Rego
NE-Prep 2018-19
0.00
actual FR PPG at Cornell
Brendan Smith
USHL 2014-15
0.00
actual FR PPG at Cornell
Alec McCrea
USHL 2013-14
0.44
actual FR PPG at Cornell

D2/3 Comparables

Richard Manley
SUNY Geneseo · 2008-09
1.150 Elite
actual D2/3 PPG
Austin Bottrell
Adrian · 2015-16
0.591 Average
actual D2/3 PPG
Logan DiScanio
University of New England · 2017-18
1.000 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.