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Jordan Simoneau Elite Prospects ↗

Position: Forward DOB: 1999-01-29 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
2017-18 Nipawin Hawks SJHL 42 12 12 24 0.571 0.1464 0.1502 0.4307 0.4418
2018-19 Nipawin Hawks SJHL 56 16 17 33 0.589 0.1510 0.1471 0.4442 0.4327
2019-20 Nipawin Hawks SJHL 49 17 19 36 0.735 0.1882 0.1882 0.5538 0.5538
■ 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
2023-24 Marian D3 NCHA — 23 5 10 15 0.652
2022-23 Marian D3 NCHA — 25 9 5 14 0.560
2021-22 Marian D3 NCHA — 23 9 4 13 0.565
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.57
2021-22 · Marian
+345.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
38%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#28647
Forward overall
#1495
Forward born in 1999
#513
in SJHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
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
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Jason Brochu
Hamilton · 2014-15
0.400 Average
actual D2/3 PPG
Brock Krulicki
SUNY Oswego · 2021-22
0.450 Average
actual D2/3 PPG
Eric Rubino
Williams · 2008-09
0.364 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.