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Brent Jones Elite Prospects ↗

Position: Forward DOB: 1997-11-18 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
2016-17 Soo Eagles NOJHL 18 8 15 23 1.278 0.2134 0.2135 0.5319 0.5321
2017-18 — NCDC 41 8 10 18 0.439 0.1790 0.1736 0.3529 0.3422
■ 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 St. Scholastica D3 MIAC SR 14 2 2 4 0.286
2020-21 St. Scholastica D1 MIAC JR 12 2 1 3 0.250
2020-21 St. Scholastica D3 MIAC JR 12 2 1 3 0.250
2019-20 St. Scholastica D1 MIAC SO 24 0 5 5 0.208
2019-20 St. Scholastica D3 MIAC SO 24 0 5 5 0.208
2018-19 Trine D1 NCHA FR 21 2 9 11 0.524
2018-19 Trine D3 NCHA — 21 2 9 11 0.524
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.52
2018-19 · Trine
+222.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#27812
Forward overall
#1269
Forward born in 1997

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Wilhelm Patriksson
Curry · 2022-23
0.278 Developing
actual D2/3 PPG
Matt Whitehead
SUNY Oswego · 2004-05
0.333 Developing
actual D2/3 PPG
David MacGregor
UMass Boston · 2014-15
0.419 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.