| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Rockland Nationals | CCHL | 56 | 11 | 17 | 28 | 0.500 | 0.1427 | 0.1474 | 0.3871 | 0.3999 |
| 2016-17 | — | CCHL | 40 | 7 | 8 | 15 | 0.375 | 0.1070 | 0.1049 | 0.2903 | 0.2847 |
| 2017-18 | Nepean Raiders | CCHL | 33 | 5 | 12 | 17 | 0.515 | 0.1470 | 0.1366 | 0.3988 | 0.3705 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Brockport | D3 | — | SO | 26 | 8 | 13 | 21 | 0.808 |
| 2018-19 | SUNY Brockport | D3 | — | FR | 22 | 8 | 5 | 13 | 0.591 |
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.