| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Penticton Vees | BCHL | 49 | 2 | 8 | 10 | 0.204 | 0.0786 | 0.0808 | 0.2968 | 0.3050 |
| 2017-18 | Penticton Vees | BCHL | 52 | 1 | 9 | 10 | 0.192 | 0.0741 | 0.0726 | 0.2797 | 0.2740 |
| 2018-19 | — | BCHL | 51 | 8 | 12 | 20 | 0.392 | 0.1511 | 0.1399 | 0.5704 | 0.5279 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Penn State | D1 | BigTen | SR | 2 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Penn State | D1 | BigTen | JR | 31 | 1 | 4 | 5 | 0.161 |
| 2020-21 | Penn State | D1 | BigTen | SO | 5 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Penn State | D1 | BigTen | 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.