IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Jake Raleigh Elite Prospects ↗

Position: Forward DOB: 1996-11-26 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
2015-16 Carolina Jr. Hurricanes USPHL-Elite 40 7 7 14 0.350 0.0261 0.0265 0.0802 0.0814
2016-17 Carolina Jr. Hurricanes USPHL-Elite 44 13 12 25 0.568 0.0423 0.0405 0.1302 0.1247
■ 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
2021-22 Post D2 NE10 — 27 6 6 12 0.444
2019-20 Post D1 — JR 26 10 9 19 0.731
2019-20 Post D2 NE10 GR 26 10 9 19 0.731
2018-19 Post D1 — SO 25 8 11 19 0.760
2018-19 Post D2 NE10 SR 25 8 11 19 0.760
2017-18 Post D2 NE10 JR 25 7 4 11 0.440
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.44
2017-18 · Post
+1371.6% vs. projection

NCAAe Rankings

#50044
Forward overall
#2350
Forward born in 1996
#747
in USPHL-Elite

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Nathan Flynn
Augsburg · 2013-14
0.385 Average
actual D2/3 PPG
Matt Chisholm
Saint Anselm · 2016-17
0.333 Developing
actual D2/3 PPG
Ty Ebner
Gustavus Adolphus · 2017-18
0.350 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.