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Jacob Juron Elite Prospects ↗

Position: Forward DOB: 1996-11-30 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 P.A.L. Junior Islanders USPHL-Premier-Classic 29 4 1 5 0.172 0.0484 0.0500 0.1417 0.1465
2016-17 — USPHL-Premier-Classic 32 4 6 10 0.312 0.0877 0.0864 0.2569 0.2530
■ 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
2019-20 Potsdam D1 — JR 8 0 0 0 0.000
2019-20 SUNY Potsdam D3 SUNYAC JR 8 0 0 0 0.000
2018-19 Potsdam D1 — SO 17 2 1 3 0.176
2018-19 SUNY Potsdam D3 SUNYAC SO 17 2 1 3 0.176
2017-18 SUNY Potsdam D3 SUNYAC FR 22 5 3 8 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.36
2017-18 · SUNY Potsdam
+491.2% vs. projection

NCAAe Rankings

#53116
Forward overall
#2522
Forward born in 1996
#279
in USPHL-Premier-Classic

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
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

D2/3 Comparables

Jake Raleigh
Post · 2016-17
0.444 Average
actual D2/3 PPG
Steven Sorensen
St. Thomas · 2011-12
0.357 Average
actual D2/3 PPG
Ryan Demyen
Buffalo State · 2013-14
0.250 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.