| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Smiths Falls Bears | CCHL | 55 | 15 | 14 | 29 | 0.527 | 0.1505 | 0.1553 | 0.4082 | 0.4213 |
| 2017-18 | Smiths Falls Bears | CCHL | 61 | 21 | 30 | 51 | 0.836 | 0.2386 | 0.2339 | 0.6472 | 0.6346 |
| 2018-19 | — | CCHL | 62 | 28 | 37 | 65 | 1.048 | 0.2992 | 0.2800 | 0.8116 | 0.7596 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Oswego | D3 | SUNYAC | SR | 24 | 13 | 14 | 27 | 1.125 |
| 2021-22 | SUNY Oswego | D3 | SUNYAC | JR | 25 | 13 | 11 | 24 | 0.960 |
| 2019-20 | SUNY Oswego | D3 | — | FR | 22 | 9 | 8 | 17 | 0.773 |
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.