| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Mississauga Chargers | OJHL | 14 | 3 | 2 | 5 | 0.357 | 0.1073 | 0.1199 | 0.2444 | 0.2730 |
| 2019-20 | Oshawa Generals | OHL | 61 | 2 | 9 | 11 | 0.180 | 0.1046 | 0.1046 | 0.4620 | 0.4620 |
| 2021-22 | Oshawa Generals | OHL | 64 | 4 | 18 | 22 | 0.344 | 0.1995 | 0.1886 | 0.8810 | 0.8327 |
| 2022-23 | Niagara IceDogs | OHL | 58 | 4 | 26 | 30 | 0.517 | 0.3001 | 0.2707 | 1.3253 | 1.1953 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Anchorage | D1 | WCHA | JR | 33 | 1 | 3 | 4 | 0.121 |
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.