| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Richmond Generals | USPHL-Elite | 30 | 20 | 16 | 36 | 1.200 | 0.1439 | 0.1402 | — | — |
| 2017-18 | Carleton Place Canadians | CCHL | 60 | 31 | 34 | 65 | 1.083 | 0.3092 | 0.2818 | 0.8386 | 0.7644 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Oswego | D3 | SUNYAC | SR | 25 | 13 | 18 | 31 | 1.240 |
| 2019-20 | SUNY Oswego | D3 | — | SO | 25 | 15 | 12 | 27 | 1.080 |
| 2018-19 | SUNY Oswego | D3 | — | FR | 27 | 13 | 10 | 23 | 0.852 |
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.