| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | St. Michael's Buzzers | OJHL | 51 | 7 | 10 | 17 | 0.333 | 0.0817 | 0.0905 | 0.2295 | 0.2542 |
| 2016-17 | St. Michael's Buzzers | OJHL | 47 | 14 | 40 | 54 | 1.149 | 0.2816 | 0.2993 | 0.7910 | 0.8407 |
| 2017-18 | — | USHL | 59 | 6 | 9 | 15 | 0.254 | 0.1500 | 0.1510 | 0.7635 | 0.7687 |
| 2019-20 | Salmon Arm Silverbacks | BCHL | 23 | 9 | 11 | 20 | 0.870 | 0.3351 | 0.3351 | 1.2655 | 1.2655 |
| 2020-21 | York Univ. | USports-M | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | York Univ. | USports-M | 16 | 4 | 8 | 12 | 0.750 | 0.3957 | 0.4076 | 2.1982 | 2.2646 |
| 2022-23 | York Univ. | USports-M | 20 | 3 | 7 | 10 | 0.500 | 0.2638 | 0.2583 | 1.4655 | 1.4352 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Union | D1 | ECAC | SO | 12 | 0 | 2 | 2 | 0.167 |
| 2018-19 | Union | D1 | ECAC | FR | 19 | 2 | 2 | 4 | 0.210 |
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.