| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Erie Otters | OHL | 64 | 9 | 19 | 28 | 0.438 | 0.2531 | 0.2597 | 1.1211 | 1.1501 |
| 2022-23 | Erie Otters | OHL | 68 | 16 | 23 | 39 | 0.574 | 0.3318 | 0.3260 | 1.4696 | 1.4441 |
| 2023-24 | Erie Otters | OHL | 58 | 14 | 17 | 31 | 0.534 | 0.3092 | 0.2890 | 1.3697 | 1.2804 |
| 2024-25 | Brampton Steelheads | OHL | 58 | 5 | 27 | 32 | 0.552 | 0.3192 | 0.2819 | 1.4137 | 1.2485 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nebraska Omaha | D1 | NCHC | FR | 35 | 2 | 7 | 9 | 0.257 |
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.