icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Prince George Cougars | WHL | 10 | 0 | 1 | 1 | 0.100 | 0.0486 | 0.0567 | 0.2441 | 0.2849 |
| 2010-11 | Prince George Cougars | WHL | 44 | 0 | 4 | 4 | 0.091 | 0.0442 | 0.0495 | 0.2219 | 0.2486 |
| 2011-12 | Prince George Cougars | WHL | 31 | 1 | 5 | 6 | 0.194 | 0.0941 | 0.1005 | 0.4723 | 0.5045 |
| 2012-13 | Camrose Kodiaks | AJHL | 58 | 5 | 23 | 28 | 0.483 | 0.1613 | 0.1682 | 0.4482 | 0.4675 |
| 2013-14 | Prince George Cougars | WHL | 8 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Portland Winterhawks | WHL | 8 | 0 | 1 | 1 | 0.125 | 0.0608 | 0.0560 | 0.3051 | 0.2808 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Bethel | D3 | — | FR | 2 | 0 | 0 | 0 | 0.000 |
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.