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Jacob Hanlon Elite Prospects ↗

Position: Forward DOB: 1995-02-21 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
2011-12 Toronto Patriots OJHL 1 0 0 0 0.000 — — — —
2012-13 Toronto Patriots OJHL 4 0 0 0 0.000 — — — —
2013-14 Nanaimo Clippers BCHL 56 7 12 19 0.339 0.1264 0.1284 0.4944 0.5022
2014-15 Nanaimo Clippers BCHL 58 12 21 33 0.569 0.2120 0.2055 0.8291 0.8035
2015-16 Collingwood Blues OJHL 54 20 30 50 0.926 0.2781 0.2491 0.6338 0.5676
■ 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
2025-26 Mercyhurst ACHA_D1 — — 20 4 7 11 0.550
2024-25 Mercyhurst ACHA_D1 — — 20 4 7 11 0.550
2023-24 Mercyhurst ACHA_D1 — — 20 4 7 11 0.550
2022-23 Mercyhurst ACHA_D1 — — 20 4 7 11 0.550
2021-22 Mercyhurst ACHA_D1 — — 20 4 7 11 0.550
2020-21 Mercyhurst ACHA_D1 — — 20 4 7 11 0.550
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.55
2020-21 · Mercyhurst
+177.4% vs. projection

NCAAe Rankings

#24854
Forward overall
#956
Forward born in 1995
#1432
in OJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Ivan Galaguzov
Lawrence · 2018-19
0.444 Average
actual D2/3 PPG
Devon Rice
SUNY Geneseo · 2011-12
0.471 Average
actual D2/3 PPG
Carson Kelley
SUNY Geneseo · 2016-17
0.643 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.