| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Cowichan Valley Capitals | BCHL | 39 | 0 | 7 | 7 | 0.179 | 0.0692 | 0.0801 | 0.2612 | 0.3025 |
| 2015-16 | Cowichan Valley Capitals | BCHL | 42 | 3 | 7 | 10 | 0.238 | 0.0917 | 0.1013 | 0.3465 | 0.3827 |
| 2016-17 | — | BCHL | 59 | 7 | 20 | 27 | 0.458 | 0.1763 | 0.1857 | 0.6659 | 0.7015 |
| 2017-18 | Salmon Arm Silverbacks | BCHL | 57 | 0 | 10 | 10 | 0.175 | 0.0676 | 0.0680 | 0.2553 | 0.2567 |
| 2018-19 | Islanders Hockey Club | NCDC | 49 | 6 | 14 | 20 | 0.408 | 0.1664 | 0.1605 | 0.3281 | 0.3164 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Plattsburgh | D3 | SUNYAC | GR | 26 | 3 | 14 | 17 | 0.654 |
| 2022-23 | SUNY Plattsburgh | D3 | SUNYAC | SR | 22 | 2 | 7 | 9 | 0.409 |
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | JR | 25 | 3 | 9 | 12 | 0.480 |
| 2019-20 | SUNY Plattsburgh | D3 | SUNYAC | FR | 18 | 5 | 1 | 6 | 0.333 |
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.