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Jake Meure Elite Prospects ↗

Position: Forward DOB: 2002-10-25 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
2020-21 Ogden Mustangs USPHL-Premier 47 18 48 66 1.404 0.1584 0.1584 0.4777 0.4777
2021-22 Ogden Mustangs USPHL-Premier 49 16 43 59 1.204 0.1358 0.1366 0.4096 0.4120
2022-23 Ogden Mustangs USPHL-Premier 51 47 54 101 1.980 0.2234 0.2137 0.6737 0.6446
■ 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 Buffalo State D3 SUNYAC GR 24 3 3 6 0.250
2024-25 Buffalo State D3 SUNYAC SR 23 6 8 14 0.609
2023-24 Buffalo State D3 SUNYAC JR 24 8 11 19 0.792
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.79
2023-24 · Buffalo State
+405.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#4928
Forward overall
#203
Forward born in 2002
#105
in USPHL-Premier

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Collin Kerchoff
Concordia (WI) · 2021-22
0.600 Average
actual D2/3 PPG
Ryan Markell
SUNY Cortland · 2006-07
0.792 Strong
actual D2/3 PPG
Dan Law
Manhattanville · 2001-02
0.731 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.