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

Jacob Gaydos Elite Prospects ↗

Position: Defense DOB: 1998-04-09 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
2017-18 Wisconsin Rapids Riverkings USPHL-Premier 44 21 20 41 0.932 0.1219 0.1193 0.3163 0.3096
■ 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 SUNY Cortland D3 SUNYAC SR 24 0 6 6 0.250
2019-20 Cortland D1 — SO 20 1 3 4 0.200
2019-20 SUNY Cortland D3 SUNYAC SO 20 1 3 4 0.200
2018-19 Cortland D1 — FR 25 1 1 2 0.080
2018-19 SUNY Cortland D3 SUNYAC FR 25 1 1 2 0.080
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.08
2018-19 · Cortland
-29.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
82%
Other

NCAAe Rankings

#3094
Defenseman overall
#711
Defenseman born in 1998
#892
in USPHL-Premier

D1 Comparables

Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG

D2/3 Comparables

Tanner Bennett
Wisconsin-River Falls · 2014-15
0.000 No data
actual D2/3 PPG
Hunter Phillips
Becker · 2018-19
0.500 Average
actual D2/3 PPG
Brendan Westbrook
Wisconsin-River Falls · 2018-19
0.000 No data
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.