icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Buffalo Lightning | OJHL | 22 | 1 | 4 | 5 | 0.227 | 0.0683 | 0.0723 | 0.1556 | 0.1648 |
| 2006-07 | — | OJHL | 11 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2007-08 | — | OJHL | 41 | 0 | 11 | 11 | 0.268 | 0.0806 | 0.0777 | 0.1837 | 0.1770 |
| 2008-09 | — | OJHL | 41 | 4 | 15 | 19 | 0.463 | 0.1392 | 0.1270 | 0.3172 | 0.2894 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | SUNY Oswego | D3 | — | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2010-11 | SUNY Oswego | D3 | — | SO | 6 | 0 | 0 | 0 | 0.000 |
| 2009-10 | SUNY Oswego | D3 | — | FR | 25 | 2 | 2 | 4 | 0.160 |
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.