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

Robbie Roche Elite Prospects ↗

Position: Defense DOB: 1997-09-22 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
2013-14 Express Hockey Club EHL 3 0 2 2 0.667 0.0976 0.1133 0.3265 0.3789
2014-15 Express Hockey Club EHL 33 1 9 10 0.303 0.0444 0.0494 0.1484 0.1653
2015-16 South Shore Kings USPHL-Premier-Classic 10 1 1 2 0.200 0.0561 0.0603 — —
■ 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 Assumption D2 NE10 SR 28 6 14 20 0.714
2018-19 Assumption D2 NE10 JR 27 5 12 17 0.630
2017-18 Assumption D2 NE10 SO 21 1 7 8 0.381
2016-17 Assumption D2 NE10 FR 25 0 9 9 0.360
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.36
2016-17 · Assumption
+581.8% vs. projection

NCAAe Rankings

#20973
Defenseman overall
#2673
Defenseman born in 1997

D1 Comparables

Kyle Mackey
USHL · 2012-13 · 0.16 PPG
→ Air Force (0.21 D1 FR PPG)
0.10 Average D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Lukas Buchta
USHL · 2012-13 · 0.05 PPG
→ Nebraska Omaha (0.12 D1 FR PPG)
0.03 Developing D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.11 Strong D
NCAAe PPG

D2/3 Comparables

Phil Erickson
Wilkes · 2014-15
0.500 Average
actual D2/3 PPG
Victor Bergström
Plymouth State · 2012-13
0.471 Average
actual D2/3 PPG
Matthew Byrne
Anna Maria · 2017-18
0.333 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.