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Jordan Renaud Elite Prospects ↗

Position: Forward DOB: 1997-08-05 Country: Canada
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 Rockland Nationals CCHL 56 11 17 28 0.500 0.1085 0.1121 0.3869 0.3997
2016-17 — CCHL 40 7 8 15 0.375 0.0813 0.0797 0.2901 0.2845
2017-18 Nepean Raiders CCHL 33 5 12 17 0.515 0.1117 0.1038 0.3986 0.3703
■ 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 Brockport D1 — SO 26 8 13 21 0.808
2019-20 SUNY Brockport D3 SUNYAC SO 26 8 13 21 0.808
2018-19 Brockport D1 — FR 22 8 5 13 0.591
2018-19 SUNY Brockport D3 SUNYAC FR 22 8 5 13 0.591
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.59
2018-19 · Brockport
+633.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
60%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#37017
Forward overall
#1776
Forward born in 1997
#921
in CCHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Scott Swanson
Norwich · 2016-17
0.480 Average
actual D2/3 PPG
Curtis Carlson
Nichols · 2017-18
0.560 Average
actual D2/3 PPG
Tyler Sifferlen
UMass Boston · 2015-16
0.444 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.