| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Markham Royals | OJHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Markham Royals | OJHL | 53 | 5 | 16 | 21 | 0.396 | 0.0971 | 0.0997 | 0.2728 | 0.2802 |
| 2022-23 | — | OJHL | 53 | 13 | 30 | 43 | 0.811 | 0.1988 | 0.1940 | 0.5586 | 0.5451 |
| 2023-24 | Corpus Christi IceRays | NAHL | 59 | 3 | 14 | 17 | 0.288 | 0.1058 | 0.1011 | 0.3041 | 0.2906 |
| 2024-25 | Lakehead Univ. | USports-M | 28 | 5 | 14 | 19 | 0.679 | 0.3580 | 0.3886 | 1.9890 | 2.1590 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan Tech | D1 | CCHA | SO | 29 | 5 | 4 | 9 | 0.310 |
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.