| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Buffalo Jr. Sabres | OJHL | 2 | 0 | 1 | 1 | 0.500 | 0.1397 | 0.1499 | 0.3451 | 0.3703 |
| 2016-17 | Buffalo Jr. Sabres | OJHL | 53 | 23 | 17 | 40 | 0.755 | 0.2109 | 0.2169 | 0.5208 | 0.5355 |
| 2017-18 | Buffalo Jr. Sabres | OJHL | 54 | 28 | 20 | 48 | 0.889 | 0.2484 | 0.2435 | 0.6134 | 0.6012 |
| 2018-19 | Buffalo Jr. Sabres | OJHL | 54 | 26 | 34 | 60 | 1.111 | 0.3104 | 0.2890 | 0.7668 | 0.7140 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Plattsburgh | D3 | SUNYAC | GR | 26 | 7 | 14 | 21 | 0.808 |
| 2022-23 | SUNY Plattsburgh | D3 | SUNYAC | SR | 26 | 8 | 7 | 15 | 0.577 |
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | JR | 24 | 8 | 5 | 13 | 0.542 |
| 2019-20 | SUNY Plattsburgh | D3 | — | FR | 25 | 9 | 9 | 18 | 0.720 |
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.