| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Oakville Blades | OJHL | 44 | 2 | 6 | 8 | 0.182 | 0.0446 | 0.0505 | 0.1251 | 0.1417 |
| 2022-23 | Oakville Blades | OJHL | 49 | 25 | 21 | 46 | 0.939 | 0.2301 | 0.2489 | 0.6462 | 0.6991 |
| 2023-24 | Flint Firebirds | OHL | 61 | 4 | 7 | 11 | 0.180 | 0.1043 | 0.1059 | 0.4721 | 0.4794 |
| 2024-25 | Flint Firebirds | OHL | 68 | 15 | 13 | 28 | 0.412 | 0.2382 | 0.2296 | 1.0783 | 1.0394 |
| 2025-26 | Flint Firebirds | OHL | 32 | 5 | 5 | 10 | 0.312 | 0.1808 | 0.1652 | 0.8182 | 0.7475 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | RIT | D1 | AHA | FR | 0 | 0 | 0 | 0 | 0.000 |
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.