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Dan Charleston Elite Prospects ↗

Position: Forward DOB: 1984-11-27 Country: USA
No commitment set

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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
2001-02 Green Bay Gamblers USHL 27 1 6 7 0.259 0.1530 0.1691 0.7788 0.8610
2002-03 Chicago Steel USHL 59 12 36 48 0.814 0.4799 0.5007 2.4436 2.5496
2003-04 Chicago Steel USHL 59 24 34 58 0.983 0.5799 0.5745 2.9526 2.9250
2004-05 Chicago Steel USHL 25 5 13 18 0.720 0.4247 0.3993 2.1624 2.0333
■ 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
2008-09 Nebraska Omaha D1 NCHC SR 39 9 18 27 0.692
2007-08 Nebraska Omaha D1 NCHC JR 40 12 25 37 0.925
2006-07 Nebraska Omaha D1 NCHC SO 41 14 19 33 0.805
2005-06 Nebraska Omaha D1 NCHC FR 39 8 11 19 0.487
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.49
2005-06 · Nebraska Omaha
+21.3% vs. projection

NCAAe Rankings

#5622
Forward overall
#175
Forward born in 1984
#316
in USHL

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2017-18
1.385 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2001-02
1.226 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2002-03
1.800 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.