| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Hawkesbury Hawks | CCHL | 55 | 6 | 18 | 24 | 0.436 | 0.1245 | 0.1284 | 0.3378 | 0.3484 |
| 2016-17 | — | CCHL | 49 | 7 | 15 | 22 | 0.449 | 0.1281 | 0.1254 | 0.3476 | 0.3402 |
| 2017-18 | Renfrew Wolves | CCHL | 55 | 10 | 29 | 39 | 0.709 | 0.2024 | 0.1877 | 0.5489 | 0.5090 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Oswego | D3 | SUNYAC | SR | 27 | 2 | 11 | 13 | 0.481 |
| 2021-22 | SUNY Oswego | D3 | SUNYAC | SR | 24 | 2 | 6 | 8 | 0.333 |
| 2019-20 | SUNY Oswego | D3 | — | SO | 6 | 1 | 0 | 1 | 0.167 |
| 2018-19 | SUNY Oswego | D3 | — | FR | 6 | 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.