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Seamus Malone Elite Prospects ↗

Position: Forward DOB: 1996-05-06 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
2012-13 Dubuque Fighting Saints USHL 50 6 21 27 0.540 0.3439 0.3776 1.6182 1.7769
2013-14 Dubuque Fighting Saints USHL 55 23 23 46 0.836 0.5326 0.5599 2.5064 2.6349
2014-15 Dubuque Fighting Saints USHL 58 26 32 58 1.000 0.6368 0.6381 2.9967 3.0030
■ 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
2018-19 Wisconsin D1 BigTen SR 37 8 18 26 0.703
2017-18 Wisconsin D1 BigTen JR 36 10 13 23 0.639
2016-17 Wisconsin D1 BigTen SO 35 10 19 29 0.829
2015-16 Wisconsin D1 BigTen FR 35 5 21 26 0.743
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.56
before college
→
Actual FR PPG
0.74
2015-16 · Wisconsin
+31.5% vs. projection

NCAAe Rankings

#2135
Forward overall
#76
Forward born in 1996
#284
in USHL

D1 Comparables

Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.58 Developing
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.58 Average
NCAAe PPG
Dennis Kravchenko
USHL · 2012-13 · 1.11 PPG
→ UMass (0.92 D1 FR PPG)
0.70 Elite
NCAAe PPG
Frank Vatrano
USHL · 2012-13 · 1.00 PPG
→ UMass
0.63 No data
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.69 Average
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2016-17
1.448 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.