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Taylyn Cope Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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 Minot High USHS-W 25 21 11 32 1.280 0.3849 0.3849 — —
2020-21 Minot High USHS-W 21 13 8 21 1.000 0.3007 0.3007 — —
2021-22 Minot High USHS-W 24 27 16 43 1.792 0.5388 0.5388 — —
2022-23 Minot High USHS-W 26 17 12 29 1.115 0.3354 0.3354 — —
■ 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 Concordia D3 MIAC JR 25 12 9 21 0.840
2024-25 Concordia D3 — — 25 7 5 12 0.480
2023-24 Concordia D3 — — 25 5 6 11 0.440
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.44
2023-24 · Concordia
+23.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
68%
Club / Other

NCAAe Rankings

#1311
Forward overall
#442
in USHS-W

D1 Comparables

Jordan McLaughlin
USHS-MN-W · 2013-14 · 2.22 PPG
→ Minnesota State (0.29 D1 FR PPG)
0.33 Developing
NCAAe PPG
Catherine Skaja
USHS-MN-W · 2013-14 · 2.21 PPG
→ Minnesota (0.34 D1 FR PPG)
0.33 Developing
NCAAe PPG
Carly Bullock
USHS-MN-W · 2013-14 · 2.20 PPG
→ Princeton (0.81 D1 FR PPG)
0.33 Elite
NCAAe PPG
Karlie Lund
USHS-MN-W · 2013-14 · 2.20 PPG
→ Princeton (1.18 D1 FR PPG)
0.33 Elite
NCAAe PPG
Brooklynn Schugel
USHS-MN-W · 2013-14 · 2.26 PPG
→ Minnesota Duluth (0.27 D1 FR PPG)
0.34 Developing
NCAAe PPG

D2/3 Comparables

Jordan McLaughlin
Minnesota State ·
0.294 Developing
actual D2/3 PPG
Catherine Skaja
Minnesota ·
0.342 Developing
actual D2/3 PPG
Carly Bullock
Princeton ·
0.812 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.