| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Waterloo Black Hawks | USHL | 50 | 11 | 13 | 24 | 0.480 | 0.2832 | 0.2832 | 1.4403 | 1.4403 |
| 2021-22 | — | USHL | 57 | 16 | 28 | 44 | 0.772 | 0.4553 | 0.4723 | 2.3162 | 2.4026 |
| 2022-23 | Sioux Falls Stampede | USHL | 23 | 1 | 8 | 9 | 0.391 | 0.2308 | 0.2274 | 1.1742 | 1.1570 |
| 2023-24 | Fargo Force | USHL | 48 | 18 | 25 | 43 | 0.896 | 0.5284 | 0.4944 | 2.6880 | 2.5150 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Vermont | D1 | HockeyEast | — | 18 | 2 | 3 | 5 | 0.278 |
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.