icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | SJHL | 38 | 1 | 9 | 10 | 0.263 | 0.0674 | 0.0674 | 0.1984 | 0.1984 |
| 2020-21 | Bonnyville Pontiacs | AJHL | 12 | 1 | 4 | 5 | 0.417 | 0.1398 | 0.1398 | 0.3856 | 0.3856 |
| 2021-22 | — | AJHL | 47 | 1 | 11 | 12 | 0.255 | 0.0856 | 0.0806 | 0.2363 | 0.2225 |
| 2024-25 | Trinity Western Univ. | USports-M | 24 | 1 | 13 | 14 | 0.583 | 0.3077 | 0.3067 | 1.7097 | 1.7039 |
| 2025-26 | Trinity Western Univ. | USports-M | 28 | 1 | 9 | 10 | 0.357 | 0.1884 | 0.1776 | 1.0467 | 0.9864 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Castleton | D3 | LittleEast | — | 26 | 2 | 7 | 9 | 0.346 |
| 2022-23 | Castleton | D3 | LittleEast | — | 26 | 3 | 8 | 11 | 0.423 |
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.