| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Trenton Golden Hawks | OJHL | 45 | 11 | 16 | 27 | 0.600 | 0.1676 | 0.1784 | 0.4141 | 0.4407 |
| 2015-16 | Buffalo Jr. Sabres | OJHL | 28 | 5 | 13 | 18 | 0.643 | 0.1796 | 0.1812 | 0.4437 | 0.4477 |
| 2016-17 | Buffalo Jr. Sabres | OJHL | 42 | 10 | 31 | 41 | 0.976 | 0.2728 | 0.2631 | 0.6737 | 0.6497 |
| 2017-18 | Buffalo Jr. Sabres | OJHL | 42 | 8 | 28 | 36 | 0.857 | 0.2395 | 0.2194 | 0.5915 | 0.5419 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | SR | 14 | 5 | 3 | 8 | 0.571 |
| 2019-20 | SUNY Plattsburgh | D3 | — | SO | 24 | 4 | 7 | 11 | 0.458 |
| 2018-19 | SUNY Plattsburgh | D3 | — | FR | 25 | 3 | 6 | 9 | 0.360 |
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.