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Ryan Webb Elite Prospects ↗

Position: Forward DOB: 1982-03-03 Country: USA
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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 — USHL 56 7 7 14 0.250 0.1592 0.1542 0.7492 0.7257
■ 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
2004-05 Utica D3 — SO 25 7 10 17 0.680
2003-04 Utica D3 — FR 26 15 26 41 1.577
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
1.58
2003-04 · Utica
+1094.6% vs. projection

NCAAe Rankings

#26122
Forward overall
#758
Forward born in 1982
#3311
in USHL

D1 Comparables

Ryan Dau
NAHL · 2012-13 · 0.41 PPG
→ Air Force (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.14 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Kevin MacLellan
SUNY Potsdam · 2005-06
0.647 Average
actual D2/3 PPG
Ivan Galaguzov
Lawrence · 2017-18
0.444 Average
actual D2/3 PPG
Craig Kitto
Williams · 2009-10
0.846 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.