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Todd Hosmer Elite Prospects ↗

Position: Forward DOB: 1987-12-21 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
2005-06 Pickering Panthers OJHL 44 19 12 31 0.705 0.1727 0.1787 0.4822 0.4990
2006-07 — OJHL 49 21 32 53 1.082 0.2651 0.2610 0.7404 0.7290
2007-08 Milton Menace OJHL 49 31 47 78 1.592 0.3902 0.3666 1.0896 1.0236
■ 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
2011-12 SUNY Morrisville D3 SUNYAC — 25 17 12 29 1.160
2010-11 SUNY Potsdam D3 — GR 16 3 9 12 0.750
2009-10 SUNY Potsdam D3 — SR 25 16 15 31 1.240
2008-09 SUNY Potsdam D3 — JR 26 8 12 20 0.769
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.77
2008-09 · SUNY Potsdam
+177.0% vs. projection

NCAAe Rankings

#10463
Forward overall
#357
Forward born in 1987
#206
in OJHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Michael Guzzo
Curry · 2006-07
0.852 Strong
actual D2/3 PPG
Connor Sleeth
SUNY Oswego · 2018-19
0.880 Strong
actual D2/3 PPG
Josh Hechter
Saint Anselm · 2001-02
1.375 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.