| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | North York Rangers | OJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | North York Rangers | OJHL | 52 | 8 | 17 | 25 | 0.481 | 0.1444 | 0.1567 | 0.3291 | 0.3572 |
| 2019-20 | North York Rangers | OJHL | 49 | 21 | 21 | 42 | 0.857 | 0.2575 | 0.2575 | 0.5867 | 0.5867 |
| 2020-21 | Shreveport Mudbugs | NAHL | 47 | 9 | 19 | 28 | 0.596 | 0.2360 | 0.2360 | 0.6254 | 0.6254 |
| 2021-22 | Shreveport Mudbugs | NAHL | 54 | 20 | 35 | 55 | 1.018 | 0.4035 | 0.3894 | 1.0693 | 1.0319 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | SR | 36 | 10 | 15 | 25 | 0.694 |
| 2024-25 | Long Island Univ. | D1 | AHA | GR | 31 | 9 | 12 | 21 | 0.677 |
| 2023-24 | Long Island Univ. | D1 | AHA | SR | 32 | 7 | 8 | 15 | 0.469 |
| 2022-23 | Long Island Univ. | D1 | AHA | JR | 32 | 6 | 11 | 17 | 0.531 |
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.