| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Newmarket Hurricanes | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Aurora Tigers | OJHL | 40 | 18 | 26 | 44 | 1.100 | 0.3304 | 0.3582 | 0.7530 | 0.8163 |
| 2018-19 | Sioux Falls Stampede | USHL | 60 | 26 | 21 | 47 | 0.783 | 0.4815 | 0.4933 | 2.3078 | 2.3643 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Clarkson | D1 | ECAC | GR | 27 | 10 | 15 | 25 | 0.926 |
| 2022-23 | Clarkson | D1 | ECAC | SR | 19 | 9 | 6 | 15 | 0.789 |
| 2021-22 | Clarkson | D1 | ECAC | JR | 37 | 15 | 13 | 28 | 0.757 |
| 2020-21 | Clarkson | D1 | ECAC | SO | 22 | 9 | 5 | 14 | 0.636 |
| 2019-20 | Clarkson | D1 | ECAC | FR | 33 | 6 | 4 | 10 | 0.303 |
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.