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Reese Farrell Elite Prospects ↗

Position: Forward DOB: 2001-02-21 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
2018-19 NMH NE-Prep 30 7 17 24 0.800 0.1585 0.1585 0.3645 0.3645
2019-20 NMH NE-Prep 28 10 26 36 1.286 0.2547 0.2547 0.5858 0.5858
2020-21 Maine Nordiques NAHL 51 10 8 18 0.353 0.1297 0.1297 0.3725 0.3725
2021-22 Maine Nordiques NAHL 56 10 31 41 0.732 0.2690 0.2511 0.7727 0.7212
■ 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 Colby D3 NESCAC SR 18 3 1 4 0.222
2024-25 Colby D3 NESCAC — 22 6 3 9 0.409
2023-24 Colby D3 NESCAC — 14 1 0 1 0.071
2022-23 Army D1 AHA — 16 2 2 4 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.25
2022-23 · Army
+15.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
45%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#19890
Forward overall
#948
Forward born in 2001

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)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 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

Zikmund Mróz
Lebanon Valley · 2018-19
0.440 Average
actual D2/3 PPG
Jordan Bancroft
Concordia · 2011-12
0.846 Strong
actual D2/3 PPG
Ian McGilvrey
Plymouth State · 2012-13
1.148 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.