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Jake McManus Elite Prospects ↗

Position: Forward DOB: 2005-01-03 Country: USA
No commitment set

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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
2021-22 Belmont Hill NE-Prep 24 2 7 9 0.375 0.0754 0.0754 0.1715 0.1715
2022-23 Belmont Hill NE-Prep 30 9 8 17 0.567 0.1140 0.1140 0.2592 0.2592
2023-24 Belmont Hill NE-Prep 31 12 30 42 1.355 0.2725 0.2725 0.6196 0.6196
■ 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 Williams D3 NESCAC SO 28 8 20 28 1.000
2024-25 Williams D3 NESCAC — 24 7 11 18 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.75
2024-25 · Williams
+319.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
2%
Club / ACHA
30%
Other

NCAAe Rankings

#21474
Forward overall
#1157
Forward born in 2005
#168
in NE-Prep

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.28 Average
NCAAe PPG
Jake Horton
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Matt Boyd
St. Norbert · 2003-04
1.033 Elite
actual D2/3 PPG
Tyler Miller
St. Scholastica · 2006-07
0.852 Strong
actual D2/3 PPG
Doug Lindensmith
Norwich · 2008-09
1.044 Elite
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.