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Tino Alunni Elite Prospects ↗

Position: Forward DOB: 1997-09-19 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 EHL 43 1 4 5 0.116 0.0250 0.0256 0.0570 0.0584
2017-18 Philadelphia Revolution EHL 49 17 23 40 0.816 0.1752 0.1697 0.3997 0.3871
■ 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
2021-22 Lebanon Valley D3 MAC SR 20 1 6 7 0.350
2020-21 Lebanon Valley D3 MAC JR 7 0 2 2 0.286
2019-20 Lebanon Valley D3 MAC SO 20 5 4 9 0.450
2018-19 Lebanon Valley D3 MAC FR 26 6 5 11 0.423
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.42
2018-19 · Lebanon Valley
+341.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#35024
Forward overall
#1606
Forward born in 1997
#921
in EHL

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Kyle Haines
SUNY Cortland · 2007-08
0.818 Strong
actual D2/3 PPG
Martin Gruse
Saint Mary's · 2012-13
0.680 Strong
actual D2/3 PPG
Colby Seitz
SUNY Cortland · 2021-22
0.957 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.