| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | BCHL | 45 | 1 | 12 | 13 | 0.289 | 0.1113 | 0.1152 | 0.4204 | 0.4352 |
| 2018-19 | Maryland Black Bears | NAHL | 54 | 2 | 19 | 21 | 0.389 | 0.1429 | 0.1429 | 0.4105 | 0.4105 |
| 2019-20 | Amarillo Wranglers | NAHL | 52 | 9 | 27 | 36 | 0.692 | 0.2544 | 0.2544 | 0.7307 | 0.7307 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | St. Lawrence | D1 | ECAC | SR | 38 | 3 | 5 | 8 | 0.210 |
| 2022-23 | St. Lawrence | D1 | ECAC | JR | 36 | 10 | 17 | 27 | 0.750 |
| 2021-22 | St. Lawrence | D1 | ECAC | SO | 37 | 2 | 8 | 10 | 0.270 |
| 2020-21 | St. Lawrence | D1 | ECAC | FR | 17 | 3 | 7 | 10 | 0.588 |
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.