| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Princeton | USHS-MN | 28 | 27 | 49 | 76 | 2.714 | 0.7307 | 0.7307 | 0.6593 | 0.6593 |
| 2022-23 | Austin Bruins | NAHL | 59 | 18 | 22 | 40 | 0.678 | 0.2686 | 0.2647 | 0.7118 | 0.7014 |
| 2023-24 | Austin Bruins | NAHL | 59 | 15 | 38 | 53 | 0.898 | 0.3559 | 0.3337 | 0.9431 | 0.8843 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | AHA | SO | 29 | 4 | 5 | 9 | 0.310 |
| 2024-25 | UMass Lowell | D1 | HockeyEast | — | 0 | 0 | 0 | 0 | 0.000 |
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.