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Danny Clements Elite Prospects ↗

Position: Forward DOB: 1984-01-22 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
2000-01 Grande Prairie Storm AJHL 9 0 0 0 0.000 — — — —
2001-02 Grande Prairie Storm AJHL 53 10 10 20 0.377 0.1266 0.1331 0.3481 0.3660
2002-03 Grande Prairie Storm AJHL 59 11 13 24 0.407 0.1364 0.1417 0.3752 0.3899
2003-04 Grande Prairie Storm AJHL 57 6 11 17 0.298 0.1000 0.0952 0.2751 0.2619
■ 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
2005-06 Augsburg D3 MIAC SO 15 1 8 9 0.600
2004-05 Augsburg D3 MIAC FR 24 3 5 8 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.33
2004-05 · Augsburg
+242.2% vs. projection

NCAAe Rankings

#43390
Forward overall
#1239
Forward born in 1984
#1715
in AJHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Jonathan Sonedecker
St. John Fisher · 2023-24
0.286 Developing
actual D2/3 PPG
D.J. Walsh
SUNY Cortland · 2022-23
0.300 Developing
actual D2/3 PPG
Jack Sullivan
Colby · 2018-19
0.000 No data
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.