| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Aurora Tigers | OJHL | 38 | 4 | 6 | 10 | 0.263 | 0.0791 | 0.0833 | 0.1802 | 0.1897 |
| 2015-16 | Mississauga Chargers | OJHL | 29 | 0 | 7 | 7 | 0.241 | 0.0725 | 0.0723 | 0.1652 | 0.1648 |
| 2016-17 | Mississauga Chargers | OJHL | 37 | 7 | 15 | 22 | 0.595 | 0.1786 | 0.1701 | 0.4070 | 0.3877 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Cortland | D3 | SUNYAC | SR | 24 | 3 | 2 | 5 | 0.208 |
| 2019-20 | Cortland | D1 | — | SO | 21 | 2 | 4 | 6 | 0.286 |
| 2019-20 | SUNY Cortland | D3 | — | SO | 21 | 2 | 4 | 6 | 0.286 |
| 2018-19 | Cortland | D1 | — | FR | 24 | 4 | 5 | 9 | 0.375 |
| 2018-19 | SUNY Cortland | D3 | — | FR | 24 | 4 | 5 | 9 | 0.375 |
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.