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Jason Pineo Elite Prospects ↗

Position: Forward DOB: 1998-02-23 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 North York Rangers OJHL 2 0 1 1 0.500 0.1226 0.1282 0.3443 0.3601
2016-17 Newmarket Hurricanes OJHL 51 4 9 13 0.255 0.0625 0.0626 0.1755 0.1757
2017-18 Newmarket Hurricanes OJHL 44 14 19 33 0.750 0.1838 0.1752 0.5164 0.4921
2018-19 — OJHL 53 21 30 51 0.962 0.2359 0.2133 0.6625 0.5989
■ 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
2022-23 Niagara D1 AHA SR 40 9 13 22 0.550
2021-22 Niagara D1 AHA JR 35 3 5 8 0.229
2020-21 Niagara D1 AHA SO 21 3 0 3 0.143
2019-20 Niagara D1 AHA FR 12 0 2 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.17
2019-20 · Niagara
-1.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
12%
NCAA D2/D3
38%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#25441
Forward overall
#1247
Forward born in 1998
#1175
in OJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Eric Berglund
Manhattanville · 2014-15
0.696 Strong
actual D2/3 PPG
Troy Boisjoli
St. Norbert · 2002-03
0.435 Average
actual D2/3 PPG
Anthony Tzveyn
Aurora · 2017-18
0.667 Strong
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.