| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Brooks Bandits | AJHL | 8 | 2 | 4 | 6 | 0.750 | 0.2488 | 0.2488 | 0.6951 | 0.6951 |
| 2021-22 | Brooks Bandits | AJHL | 58 | 28 | 29 | 57 | 0.983 | 0.3261 | 0.3214 | 0.9109 | 0.8978 |
| 2022-23 | Brooks Bandits | AJHL | 60 | 34 | 55 | 89 | 1.483 | 0.4922 | 0.4607 | 1.3747 | 1.2868 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Robert Morris | D1 | AHA | JR | 26 | 1 | 3 | 4 | 0.154 |
| 2024-25 | American International | D1 | AHA | — | 30 | 11 | 9 | 20 | 0.667 |
| 2023-24 | American International | D1 | AHA | — | 16 | 2 | 4 | 6 | 0.375 |
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.