| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Notre Dame Hounds | SJHL | 38 | 3 | 2 | 5 | 0.132 | 0.0337 | 0.0354 | 0.0992 | 0.1041 |
| 2017-18 | La Ronge Ice Wolves | SJHL | 54 | 1 | 8 | 9 | 0.167 | 0.0427 | 0.0428 | 0.1257 | 0.1261 |
| 2018-19 | Brooklyn Aviators | USPHL-Premier | 43 | 13 | 43 | 56 | 1.302 | 0.1703 | 0.1607 | 0.4420 | 0.4170 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Fitchburg State | D3 | MASCAC | — | 7 | 0 | 2 | 2 | 0.286 |
| 2021-22 | Fitchburg State | D3 | MASCAC | — | 17 | 1 | 3 | 4 | 0.235 |
| 2019-20 | Fitchburg State | D1 | MASCAC | FR | 19 | 3 | 2 | 5 | 0.263 |
| 2019-20 | Fitchburg State | D3 | MASCAC | — | 19 | 3 | 2 | 5 | 0.263 |
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.