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Topher Scott Elite Prospects ↗

Position: Forward DOB: 1985-07-23 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
2000-01 Chicago Steel USHL 51 5 7 12 0.235 0.1388 0.1649 0.7067 0.8394
2001-02 Chicago Steel USHL 59 10 17 27 0.458 0.2699 0.3072 1.3744 1.5641
2002-03 Chicago Steel USHL 24 2 11 13 0.542 0.3195 0.3438 1.6269 1.7505
2003-04 Chicago Steel USHL 60 21 31 52 0.867 0.5113 0.5232 2.6030 2.6635
■ 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
2007-08 Cornell D1 ECAC SR 36 10 20 30 0.833
2006-07 Cornell D1 ECAC JR 31 4 21 25 0.806
2005-06 Cornell D1 ECAC SO 35 6 22 28 0.800
2004-05 Cornell D1 ECAC FR 35 5 19 24 0.686
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.69
2004-05 · Cornell
+77.5% vs. projection

NCAAe Rankings

#8691
Forward overall
#274
Forward born in 1985
#690
in USHL

D1 Comparables

Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Christopher Miraldo
Westfield State · 2022-23
1.037 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 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.