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Jeff Losurdo Elite Prospects ↗

Position: Forward DOB: 1998-03-09 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
2015-16 Minnesota Wilderness NAHL 1 0 1 1 1.000 0.3674 0.3975 1.0555 1.1419
2016-17 — USHL 42 3 1 4 0.095 0.0562 0.0560 0.2859 0.2849
2017-18 Jersey Hitmen NCDC 50 27 38 65 1.300 0.5300 0.5219 1.0449 1.0290
■ 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 Dartmouth D1 ECAC — 31 6 5 11 0.355
2020-21 Dartmouth D1 ECAC — 0 0 0 0 0.000
2019-20 Dartmouth D1 ECAC — 30 6 9 15 0.500
2018-19 Dartmouth D1 ECAC — 31 5 7 12 0.387
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.39
2018-19 · Dartmouth
+34.8% vs. projection

College Pathway Likelihood (based on 15 comparables)

27%
NCAA D2/D3
0%
Club / ACHA
7%
Other

NCAAe Rankings

#5988
Forward overall
#272
Forward born in 1998

D1 Comparables

Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Blake Tosto
Lebanon Valley · 2018-19
0.571 Average
actual D2/3 PPG
Josh Hechter
Saint Anselm · 2001-02
1.375 Elite
actual D2/3 PPG
Nick Mueller
Gustavus Adolphus · 2018-19
1.000 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.