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Logan DiScanio Elite Prospects ↗

Position: Forward DOB: 1999-03-29 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
2017-18 Vermont Lumberjacks EHL 41 15 21 36 0.878 0.1884 0.1968 0.4300 0.4492
2018-19 Vermont Lumberjacks EHL 45 16 39 55 1.222 0.2623 0.2608 0.5985 0.5952
2019-20 Vermont Lumberjacks EHL 46 34 57 91 1.978 0.4245 0.4245 0.9688 0.9688
■ 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
2020-21 New England D3 — FR 4 2 2 4 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
1.00
2020-21 · New England
+396.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D2/D3
0%
Club / ACHA
22%
Other

NCAAe Rankings

#9195
Forward overall
#285
Forward born in 1999
#17
in EHL

D1 Comparables

Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.24 Developing
NCAAe PPG
Stanislav Dzakhov
NAHL · 2012-13 · 0.69 PPG
→ Niagara (0.44 D1 FR PPG)
0.25 Average
NCAAe PPG
Kyle Bauman
NAHL · 2012-13 · 0.70 PPG
→ Bemidji State (0.53 D1 FR PPG)
0.26 Average
NCAAe PPG
Tyler Poulsen
NAHL · 2012-13 · 0.60 PPG
→ Alabama-Huntsville (0.21 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Garrett Alberti
Saint Anselm · 2021-22
0.625 Average
actual D2/3 PPG
Mark Smith
Southern New Hampshire · 2002-03
1.000 Elite
actual D2/3 PPG
Greg Pezza
Connecticut College · 2015-16
0.300 Developing
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.