| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | New Jersey Rockets | NCDC | 19 | 1 | 1 | 2 | 0.105 | 0.0429 | 0.0471 | 0.9254 | 0.9917 |
| 2018-19 | — | AJHL | 54 | 5 | 19 | 24 | 0.444 | 0.1491 | 0.1526 | 0.4112 | 0.4207 |
| 2019-20 | Kindersley Klippers | SJHL | 56 | 14 | 28 | 42 | 0.750 | 0.1921 | 0.1921 | 0.5654 | 0.5654 |
| 2020-21 | Fairbanks Ice Dogs | NAHL | 31 | 4 | 7 | 11 | 0.355 | 0.1304 | 0.1304 | 0.3745 | 0.3745 |
| 2022-23 | Carleton Univ. | USports-M | 24 | 1 | 5 | 6 | 0.250 | 0.1319 | 0.1363 | 0.7328 | 0.7570 |
| 2023-24 | Carleton Univ. | USports-M | 9 | 1 | 1 | 2 | 0.222 | 0.1172 | 0.1149 | 0.6513 | 0.6384 |
| 2024-25 | Carleton Univ. | USports-M | 6 | 0 | 3 | 3 | 0.500 | 0.2638 | 0.2459 | 1.4655 | 1.3660 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Hamilton | D3 | NESCAC | — | 19 | 3 | 8 | 11 | 0.579 |
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.