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Mitchell Watson Elite Prospects ↗

Position: Forward DOB: 2001-05-04 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
2018-19 Calgary Mustangs AJHL 46 5 11 16 0.348 0.1167 0.1246 0.3223 0.3440
2019-20 — AJHL 58 9 17 26 0.448 0.1504 0.1504 0.4155 0.4155
2020-21 Canmore Eagles AJHL 2 0 1 1 0.500 0.1677 0.1677 0.4634 0.4634
2021-22 Canmore Eagles AJHL 55 7 14 21 0.382 0.1281 0.1180 0.3539 0.3261
■ 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 Manhattanville D3 UCHC SR 25 1 7 8 0.320
2024-25 Manhattanville D3 UCHC JR 22 5 4 9 0.409
2023-24 Manhattanville D3 UCHC SO 26 4 11 15 0.577
2022-23 Manhattanville D3 UCHC FR 26 6 8 14 0.538
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.54
2022-23 · Manhattanville
+421.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
20%
NCAA D2/D3
60%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#40181
Forward overall
#2243
Forward born in 2001
#1532
in AJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Derek Miller
Wisconsin-Superior · 2001-02
0.391 Average
actual D2/3 PPG
Christian Blomquist
Wilkes · 2021-22
0.444 Average
actual D2/3 PPG
Drew Anderson
Augsburg · 2013-14
0.680 Strong
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.