icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Grande Prairie Storm | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Olds Grizzlys | AJHL | 7 | 1 | 1 | 2 | 0.286 | 0.0958 | 0.1011 | 0.2644 | 0.2791 |
| 2015-16 | Olds Grizzlys | AJHL | 58 | 32 | 49 | 81 | 1.397 | 0.4684 | 0.4727 | 1.2924 | 1.3041 |
| 2016-17 | Olds Grizzlys | AJHL | 58 | 22 | 25 | 47 | 0.810 | 0.2718 | 0.2610 | 0.7499 | 0.7202 |
| 2017-18 | — | AJHL | 52 | 28 | 33 | 61 | 1.173 | 0.3935 | 0.3558 | 1.0856 | 0.9815 |
| 2019-20 | Univ. of Toronto | USports-M | 27 | 6 | 9 | 15 | 0.556 | 0.2931 | 0.2931 | 1.6285 | 1.6285 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Merrimack | D1 | HockeyEast | FR | 12 | 1 | 0 | 1 | 0.083 |
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.