| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | L/A Nordiques | NA3HL | 44 | 2 | 9 | 11 | 0.250 | 0.0314 | 0.0329 | 0.0789 | 0.0825 |
| 2017-18 | L/A Nordiques | NA3HL | 45 | 10 | 25 | 35 | 0.778 | 0.0976 | 0.0972 | 0.2456 | 0.2445 |
| 2018-19 | L/A Nordiques | NA3HL | 47 | 15 | 29 | 44 | 0.936 | 0.1175 | 0.1108 | 0.2956 | 0.2787 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Westfield State | D3 | MASCAC | — | 26 | 0 | 1 | 1 | 0.038 |
| 2021-22 | Westfield State | D3 | MASCAC | — | 26 | 0 | 2 | 2 | 0.077 |
| 2019-20 | Westfield State | D1 | MASCAC | FR | 27 | 0 | 4 | 4 | 0.148 |
| 2019-20 | Westfield State | D3 | MASCAC | — | 27 | 0 | 4 | 4 | 0.148 |
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.