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Kolbee Ashe Elite Prospects ↗

Position: Forward DOB: 2007-08-03 Country: Canada
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
2022-23 Saskatoon Stars SFMAAAHL-W 30 19 16 35 1.167 0.2729 0.2729 — —
2023-24 Saskatoon Stars SFMAAAHL-W 30 12 25 37 1.233 0.2885 0.2885 — —
2024-25 Saskatoon Stars SFMAAAHL-W 30 17 18 35 1.167 0.2729 0.2729 — —
■ 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 RIT D1 CHA-W FR 31 5 4 9 0.290
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.29
2025-26 · RIT
+21.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
10%
NCAA D2/D3
72%
Club / Other

NCAAe Rankings

#2369
Forward overall
#63
Forward born in 2007
#15
in SFMAAAHL-W

D1 Comparables

Emily Gunderson
USHS-MN-W · 2012-13 · 1.71 PPG
→ Lindenwood (0.17 D1 FR PPG)
0.27 Developing
NCAAe PPG
Charly Dalhquist
USHS-MN-W · 2012-13 · 1.68 PPG
→ North Dakota (0.24 D1 FR PPG)
0.27 Developing
NCAAe PPG
Jordan McLaughlin
USHS-MN-W · 2012-13 · 1.68 PPG
→ Minnesota (0.29 D1 FR PPG)
0.27 Developing
NCAAe PPG
Christi Vetter
USHS-MN-W · 2012-13 · 1.67 PPG
→ Penn State
0.27 No data
NCAAe PPG
Mariah Gardner
USHS-MN-W · 2013-14 · 1.74 PPG
→ Minnesota (0.07 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Emily Gunderson
Lindenwood ·
0.171 Developing
actual D2/3 PPG
Charly Dalhquist
North Dakota ·
0.241 Developing
actual D2/3 PPG
Jordan McLaughlin
Minnesota ·
0.294 Developing
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.