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Reece McDonald Elite Prospects ↗

Position: Forward DOB: 2001-03-21 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 Evansville Jr. Thunderbolts NA3HL 1 0 0 0 0.000 — — — —
2019-20 Wisconsin Rapids Riverkings USPHL-Premier 33 2 14 16 0.485 0.0547 0.0547 0.1646 0.1646
2020-21 Wisconsin Rapids Riverkings USPHL-Premier 44 13 20 33 0.750 0.0846 0.0846 0.2546 0.2546
2021-22 Wisconsin Rapids Riverkings USPHL-Premier 44 18 22 40 0.909 0.1025 0.0949 0.3086 0.2858
■ 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 Lebanon Valley D3 MAC SR 17 2 2 4 0.235
2024-25 Lebanon Valley D3 MAC — 25 1 2 3 0.120
2023-24 Lebanon Valley D3 MAC — 18 1 1 2 0.111
2022-23 New England College D3 LittleEast — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#21182
Forward overall
#1028
Forward born in 2001

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Timothy Baylis
Southern New Hampshire · 2013-14
0.474 Average
actual D2/3 PPG
Andy Inderieden
Wisconsin-River Falls · 2008-09
0.357 Average
actual D2/3 PPG
Morley Phillips
SUNY Cortland · 2024-25
0.462 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.