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Danny Smith Elite Prospects ↗

Position: Forward DOB: 1992-02-18 Country: Canada
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
2009-10 Sherwood Park Crusaders AJHL 1 0 0 0 0.000 — — — —
2010-11 Sherwood Park Crusaders AJHL 55 15 16 31 0.564 0.1890 0.1917 0.5216 0.5289
2011-12 Sherwood Park Crusaders AJHL 60 27 32 59 0.983 0.3298 0.3177 0.9099 0.8765
2012-13 Sherwood Park Crusaders AJHL 60 20 28 48 0.800 0.2683 0.2447 0.7403 0.6751
■ 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
2016-17 RIT D1 AHA — 35 5 9 14 0.400
2015-16 RIT D1 AHA — 23 2 4 6 0.261
2014-15 RIT D1 AHA — 40 6 9 15 0.375
2013-14 RIT D1 AHA — 37 7 6 13 0.351
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.35
2013-14 · RIT
+49.9% vs. projection

NCAAe Rankings

#19604
Forward overall
#743
Forward born in 1992
#440
in AJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Logan Kelly
Canton · 2023-24
0.933 Strong
actual D2/3 PPG
Alex Sanchez
Aurora · 2015-16
0.000 No data
actual D2/3 PPG
George Splichal
Bethel · 2014-15
0.680 Strong
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.