| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Newmarket Hurricanes | OJHL | 38 | 8 | 9 | 17 | 0.447 | 0.1097 | 0.1125 | 0.3080 | 0.3160 |
| 2022-23 | — | OJHL | 53 | 17 | 27 | 44 | 0.830 | 0.2035 | 0.1984 | 0.5716 | 0.5572 |
| 2023-24 | — | OJHL | 57 | 20 | 34 | 54 | 0.947 | 0.2322 | 0.2143 | 0.6523 | 0.6020 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Adrian | D3 | NCHA | SO | 5 | 1 | 0 | 1 | 0.200 |
| 2024-25 | Adrian | D3 | NCHA | — | 13 | 0 | 5 | 5 | 0.385 |
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.