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Dan Weiss Elite Prospects ↗

Position: Defense DOB: 1989-01-05 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
2006-07 Springfield Jr. Blues NAHL 55 1 11 12 0.218 0.0802 0.0850 0.2306 0.2443
2007-08 Springfield Jr. Blues NAHL 49 6 21 27 0.551 0.2024 0.2045 0.5824 0.5885
2008-09 Lincoln Stars USHL 16 2 3 5 0.312 0.1843 0.1743 0.9377 0.8869
■ 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
2014-15 Wesleyan D3 NESCAC — 0 0 16 16 0.000
2012-13 Niagara D1 AHA SR 36 3 9 12 0.333
2011-12 Niagara D1 AHA JR 34 4 5 9 0.265
2010-11 Niagara D1 AHA SO 28 0 7 7 0.250
2009-10 Niagara D1 AHA FR 27 0 4 4 0.148
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.15
2009-10 · Niagara
-15.8% vs. projection

NCAAe Rankings

#7032
Defenseman overall
#944
Defenseman born in 1989

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG

D2/3 Comparables

Nicholas Bondra
Amherst · 2016-17
0.714 Strong
actual D2/3 PPG
Adam Kudynski
Lebanon Valley · 2003-04
0.909 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
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.