| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Aurora Tigers | OJHL | 7 | 1 | 0 | 1 | 0.143 | 0.0350 | 0.0375 | 0.0984 | 0.1055 |
| 2016-17 | — | OJHL | 50 | 16 | 21 | 37 | 0.740 | 0.1814 | 0.1864 | 0.5095 | 0.5236 |
| 2017-18 | Toronto Patriots | OJHL | 54 | 23 | 66 | 89 | 1.648 | 0.4039 | 0.3956 | 1.1347 | 1.1113 |
| 2018-19 | — | OJHL | 51 | 20 | 42 | 62 | 1.216 | 0.2980 | 0.2773 | 0.8370 | 0.7788 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Utica | D3 | UCHC | — | 27 | 3 | 8 | 11 | 0.407 |
| 2022-23 | Adrian | D3 | NCHA | — | 13 | 0 | 3 | 3 | 0.231 |
| 2021-22 | Adrian | D3 | NCHA | — | 17 | 8 | 9 | 17 | 1.000 |
| 2021-22 | Mercyhurst | D1 | AHA | JR | 3 | 0 | 1 | 1 | 0.333 |
| 2020-21 | Mercyhurst | D1 | AHA | SO | 13 | 1 | 2 | 3 | 0.231 |
| 2019-20 | Mercyhurst | D1 | AHA | FR | 20 | 1 | 0 | 1 | 0.050 |
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.