icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Milton Menace | OJHL | 33 | 0 | 3 | 3 | 0.091 | 0.0223 | 0.0233 | 0.0626 | 0.0653 |
| 2009-10 | Milton Menace | OJHL | 48 | 0 | 5 | 5 | 0.104 | 0.0255 | 0.0253 | 0.0717 | 0.0710 |
| 2012-13 | St. Francis Xavier Univ. | USports-M | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | St. Francis Xavier Univ. | USports-M | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | St. Francis Xavier Univ. | USports-M | 7 | 0 | 1 | 1 | 0.143 | 0.0754 | 0.0719 | 0.4188 | 0.3991 |
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.