| 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 | 0.1226 | 0.1295 | 0.3422 | 0.3613 |
| 2016-17 | Buffalo Jr. Sabres | OJHL | 3 | 0 | 1 | 1 | 0.333 | 0.0817 | 0.0826 | 0.2281 | 0.2306 |
| 2017-18 | Buffalo Jr. Sabres | OJHL | 51 | 12 | 12 | 24 | 0.471 | 0.1153 | 0.1110 | 0.3221 | 0.3102 |
| 2018-19 | Buffalo Jr. Sabres | OJHL | 51 | 10 | 11 | 21 | 0.412 | 0.1009 | 0.0922 | 0.2819 | 0.2577 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Brockport | D3 | SUNYAC | GR | 24 | 5 | 6 | 11 | 0.458 |
| 2022-23 | SUNY Brockport | D3 | SUNYAC | SR | 24 | 6 | 8 | 14 | 0.583 |
| 2021-22 | SUNY Brockport | D3 | SUNYAC | JR | 26 | 4 | 2 | 6 | 0.231 |
| 2019-20 | Brockport | D1 | — | FR | 16 | 0 | 4 | 4 | 0.250 |
| 2019-20 | SUNY Brockport | D3 | — | FR | 16 | 0 | 4 | 4 | 0.250 |
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.