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Tyson Gilmour Elite Prospects ↗

Position: Forward DOB: 1998-08-31 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
2016-17 Powassan VooDoos NOJHL 52 23 38 61 1.173 0.1978 0.2056 0.4874 0.5067
2018-19 Wellington Dukes OJHL 52 20 38 58 1.115 0.3116 0.2898 0.7697 0.7158
■ 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
2023-24 SUNY Geneseo D3 SUNYAC SR 27 11 20 31 1.148
2022-23 SUNY Geneseo D3 SUNYAC SR 25 4 17 21 0.840
2021-22 SUNY Geneseo D3 SUNYAC JR 29 11 14 25 0.862
2019-20 SUNY Geneseo D3 — FR 21 5 11 16 0.762
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.76
2019-20 · SUNY Geneseo
+247.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
30%
NCAA D2/D3
35%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#13253
Forward overall
#459
Forward born in 1998

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Beau Walker
NAHL · 2012-13 · 1.00 PPG
→ Sacred Heart (0.40 D1 FR PPG)
0.35 Average
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Mac Olson
Hobart · 2011-12
0.846 Strong
actual D2/3 PPG
Teddy Purcell
SUNY Geneseo · 2005-06
0.550 Average
actual D2/3 PPG
Phil Cherneski
Wisconsin-Eau Claire · 2000-01
0.739 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.