| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Buffalo Jr. Sabres | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | New Jersey Rockets | USPHL-Premier | 36 | 5 | 12 | 17 | 0.472 | 0.0533 | 0.0522 | 0.1606 | 0.1573 |
| 2019-20 | New England Wolves | EHL | 42 | 7 | 15 | 22 | 0.524 | 0.0766 | 0.0766 | 0.2568 | 0.2568 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Morrisville | D3 | SUNYAC | — | 25 | 3 | 9 | 12 | 0.480 |
| 2023-24 | SUNY Morrisville | D3 | SUNYAC | SR | 25 | 3 | 9 | 12 | 0.480 |
| 2022-23 | SUNY Morrisville | D3 | SUNYAC | JR | 12 | 0 | 4 | 4 | 0.333 |
| 2021-22 | SUNY Morrisville | D3 | SUNYAC | SO | 12 | 1 | 0 | 1 | 0.083 |
| 2020-21 | SUNY Morrisville | D3 | SUNYAC | FR | 0 | 0 | 0 | 0 | 0.000 |
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.