IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Mark Tosti Elite Prospects ↗

Position: Forward DOB: 1999-08-06 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
2016-17 Philadelphia Revolution EHLP 7 1 3 4 0.571 0.0655 0.0690 0.1288 0.1357
2017-18 Philadelphia Revolution EHL 25 4 6 10 0.400 0.0924 0.0982 0.1957 0.2079
2018-19 Philadelphia Revolution EHL 10 4 2 6 0.600 0.1386 0.1403 0.2936 0.2972
2019-20 Philadelphia Revolution EHL 44 19 26 45 1.023 0.2362 0.2362 0.5004 0.5004
■ 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
2022-23 Alvernia D3 MAC — 14 1 3 4 0.286
2020-21 Stevenson D1 MAC FR 6 0 0 0 0.000
2020-21 Stevenson D3 MAC — 6 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
40%
Other

NCAAe Rankings

#20182
Forward overall
#997
Forward born in 1999

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG

D2/3 Comparables

Adam Frank
Wentworth · 2010-11
0.571 Average
actual D2/3 PPG
Clay Berger
Tufts · 2014-15
0.458 Average
actual D2/3 PPG
Jaret Babych
UMass Dartmouth · 2013-14
0.667 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.