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Blake Tosto Elite Prospects ↗

Position: Forward DOB: 1999-04-04 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 — NCDC 21 1 1 2 0.095 0.0388 0.0381 0.0765 0.0751
2019-20 Florida Jr. Blades USPHL-Premier 44 41 15 56 1.273 0.1665 0.1665 0.4320 0.4320
■ 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 Lebanon Valley D3 MAC SR 25 13 13 26 1.040
2022-23 Lebanon Valley D3 MAC JR 25 6 10 16 0.640
2021-22 Lebanon Valley D3 MAC SO 24 12 11 23 0.958
2020-21 Lebanon Valley D1 MAC FR 7 2 2 4 0.571
2020-21 Lebanon Valley D3 MAC FR 7 2 2 4 0.571
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.57
2020-21 · Lebanon Valley
+1652.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
0%
Club / ACHA
68%
Other

NCAAe Rankings

#9610
Forward overall
#429
Forward born in 1999

D1 Comparables

William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Matthew Grannan
Bethel · 2023-24
0.000 No data
actual D2/3 PPG
Jacob Gaydos
SUNY Cortland · 2017-18
0.080 Developing
actual D2/3 PPG
Blake Robertson
Trine · 2015-16
0.360 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.