icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Spruce Grove Saints | AJHL | 9 | 0 | 1 | 1 | 0.111 | 0.0371 | 0.0426 | — | — |
| 2012-13 | Vancouver Giants | WHL | 64 | 2 | 19 | 21 | 0.328 | 0.1595 | 0.1708 | 0.8008 | 0.8577 |
| 2013-14 | Vancouver Giants | WHL | 65 | 6 | 17 | 23 | 0.354 | 0.1720 | 0.1758 | 0.8636 | 0.8827 |
| 2014-15 | — | WHL | 66 | 4 | 9 | 13 | 0.197 | 0.0958 | 0.0932 | 0.4808 | 0.4679 |
| 2015-16 | — | AJHL | 46 | 6 | 22 | 28 | 0.609 | 0.2033 | 0.1920 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Northland | D3 | — | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Northland | D3 | — | FR | 6 | 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.