| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Brooks Bandits | AJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0671 | 0.0671 | 0.1851 | 0.1851 |
| 2020-21 | Brooks Bandits | AJHL | 14 | 3 | 6 | 9 | 0.643 | 0.2156 | 0.2156 | 0.5949 | 0.5949 |
| 2021-22 | Brooks Bandits | AJHL | 53 | 14 | 33 | 47 | 0.887 | 0.2974 | 0.3044 | 0.8206 | 0.8399 |
| 2022-23 | Waterloo Black Hawks | USHL | 13 | 1 | 7 | 8 | 0.615 | 0.3630 | 0.3458 | 1.8483 | 1.7605 |
| 2023-24 | Brooks Bandits | AJHL | 40 | 13 | 37 | 50 | 1.250 | 0.4192 | 0.3885 | 1.1567 | 1.0720 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | BigTen | SO | 37 | 3 | 6 | 9 | 0.243 |
| 2024-25 | Penn State | D1 | BigTen | — | 33 | 4 | 5 | 9 | 0.273 |
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.