| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Oakville Blades | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Collingwood Blues | OJHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Boston Jr. Bruins | NCDC | 47 | 19 | 32 | 51 | 1.085 | 0.3058 | 0.3147 | 0.8785 | 0.9040 |
| 2022-23 | Collingwood Blues | OJHL | 51 | 21 | 27 | 48 | 0.941 | 0.2630 | 0.2514 | 0.6495 | 0.6209 |
| 2023-24 | Janesville Jets | NAHL | 48 | 12 | 15 | 27 | 0.562 | 0.2089 | 0.1954 | 0.5956 | 0.5572 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Superior | D3 | WIAC | SO | 19 | 2 | 3 | 5 | 0.263 |
| 2024-25 | Wisconsin-Superior | D3 | WIAC | FR | 18 | 5 | 14 | 19 | 1.056 |
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.