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Kristen Hartman Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin Country: Canada
No commitment set

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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
2021-22 Etobicoke Dolphins OWHL-U22 5 1 1 2 0.400 0.1398 0.1398 — —
2022-23 Etobicoke Dolphins OWHL-U22 42 4 6 10 0.238 0.0832 0.0832 — —
2023-24 Mississauga Hurricanes U22 OWHL-U22 43 20 8 28 0.651 0.2277 0.2277 — —
2024-25 Mississauga Hurricanes U22 OWHL-U22 42 11 13 24 0.571 0.1998 0.1998 — —
■ 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 New Hampshire D1 HEA-W FR 34 5 3 8 0.235
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.23
2025-26 · New Hampshire
+30.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
2%
NCAA D2/D3
90%
Club / Other

NCAAe Rankings

#4422
Forward overall
#261
in OWHL-U22

D1 Comparables

Natalie Snodgrass
USHS-MN-W · 2012-13 · 1.20 PPG
→ UConn (1.00 D1 FR PPG)
0.19 Elite
NCAAe PPG
Sydney Brodt
USHS-MN-W · 2012-13 · 1.32 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.21 Strong
NCAAe PPG
Madison Woo
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.52 D1 FR PPG)
0.20 Average
NCAAe PPG
Sena Hanson
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.63 D1 FR PPG)
0.22 Strong
NCAAe PPG
Savannah Quandt
USHS-MN-W · 2012-13 · 1.36 PPG
→ Minnesota (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Natalie Snodgrass
UConn ·
1.000 Elite
actual D2/3 PPG
Sydney Brodt
Minnesota Duluth ·
0.600 Average
actual D2/3 PPG
Madison Woo
Brown ·
0.517 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.