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Kayla Kutes Elite Prospects ↗

Position: Forward DOB: 2004-03-31 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
2019-20 Okanagan HA U18 Prep CSSHL-U18W 24 5 5 10 0.417 0.0955 0.0955 — —
2020-21 RINK HA Kelowna U18 Prep CSSHL-U18W 7 0 3 3 0.429 0.0982 0.0982 — —
2021-22 RINK HA Kelowna U18 Prep CSSHL-U18W 26 12 10 22 0.846 0.1939 0.1939 — —
■ 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 Providence D1 HEA-W SR 24 2 3 5 0.208
2024-25 Providence D1 HEA-W JR 10 0 4 4 0.400
2023-24 Providence D1 HEA-W SO 26 0 1 1 0.038
2022-23 Providence D1 HEA-W FR 15 1 1 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.13
2022-23 · Providence
-19.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

0%
NCAA D1
0%
NCAA D2/D3
100%
Club / Other

NCAAe Rankings

#5406
Forward overall
#244
Forward born in 2004
#139
in CSSHL-U18W

D1 Comparables

Natalie Snodgrass
USHS-MN-W · 2012-13 · 1.20 PPG
→ UConn (1.00 D1 FR PPG)
0.19 Elite
NCAAe PPG
Liz Schepers
USHS-MN-W · 2012-13 · 1.12 PPG
→ Ohio State (0.41 D1 FR PPG)
0.18 Average
NCAAe PPG
Danielle Marmer
NE-Prep-Girls · 2012-13 · 0.39 PPG
→ Quinnipiac
0.18 No data
NCAAe PPG
Madison Woo
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.52 D1 FR PPG)
0.20 Average
NCAAe PPG
Sydney Brodt
USHS-MN-W · 2012-13 · 1.32 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.21 Strong
NCAAe PPG

D2/3 Comparables

Natalie Snodgrass
UConn ·
1.000 Elite
actual D2/3 PPG
Liz Schepers
Ohio State ·
0.410 Average
actual D2/3 PPG
Danielle Marmer
Quinnipiac ·
0.000 No data
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.