icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Whitecourt Wolverines | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Drayton Valley Thunder | AJHL | 60 | 17 | 25 | 42 | 0.700 | 0.2348 | 0.2344 | 0.6478 | 0.6466 |
| 2019-20 | Drayton Valley Thunder | AJHL | 35 | 18 | 22 | 40 | 1.143 | 0.3833 | 0.3833 | 1.0576 | 1.0576 |
| 2024-25 | Toronto Metro Univ. | USports-M | 15 | 1 | 3 | 4 | 0.267 | 0.1407 | 0.1276 | 0.7817 | 0.7090 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alaska Anchorage | D1 | WCHA | — | 18 | 2 | 4 | 6 | 0.333 |
| 2022-23 | Alaska Anchorage | D1 | WCHA | — | 20 | 0 | 1 | 1 | 0.050 |
| 2021-22 | UMass Lowell | D1 | HockeyEast | — | 0 | 0 | 0 | 0 | 0.000 |
| 2020-21 | UMass Lowell | D1 | HockeyEast | 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.