icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Cleveland Barons | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2005-06 | Jersey Hitmen | EJHL | 18 | 0 | 5 | 5 | 0.278 | 0.0823 | 0.0826 | — | — |
| 2007-08 | — | OJHL | 47 | 5 | 17 | 22 | 0.468 | 0.1147 | 0.1025 | 0.3219 | 0.2878 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Curry | D3 | CNE | SR | 7 | 0 | 0 | 0 | 0.000 |
| 2010-11 | Curry | D3 | CNE | JR | 26 | 1 | 4 | 5 | 0.192 |
| 2009-10 | Curry | D3 | CNE | SO | 27 | 2 | 5 | 7 | 0.259 |
| 2008-09 | Curry | D3 | CNE | FR | 25 | 1 | 9 | 10 | 0.400 |
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.