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Reece Furtado Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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
2024-25 Elmira Impact USPHL-Premier 41 6 13 19 0.463 0.0606 0.0606 0.1573 0.1573
■ 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 Saginaw Valley State University ACHA_D1 — — 27 4 5 9 0.333
2024-25 Saginaw Valley State University ACHA_D1 — — 27 4 5 9 0.333
2023-24 Saginaw Valley State University ACHA_D1 — — 27 4 5 9 0.333
2022-23 Saginaw Valley State University ACHA_D1 — — 27 4 5 9 0.333
2021-22 Saginaw Valley State University ACHA_D1 — — 27 4 5 9 0.333
2020-21 Saginaw Valley State University ACHA_D1 — — 27 4 5 9 0.333

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
2%
Club / ACHA
52%
Other

NCAAe Rankings

#36319
Forward overall
#3161
in USPHL-Premier

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Bo Pieper
USHL · 2012-13 · 0.19 PPG
→ Quinnipiac (0.34 D1 FR PPG)
0.12 Developing
NCAAe PPG
Matt Gaudreau
USHL · 2012-13 · 0.33 PPG
→ Boston College (0.12 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Phil Erickson
Wilkes · 2015-16
0.500 Average
actual D2/3 PPG
Riley Riddell
Wisconsin-River Falls · 2004-05
0.273 Developing
actual D2/3 PPG
Eric Simmons
Colby · 2004-05
0.304 Developing
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.