| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Haliburton County Huskies | OJHL | 23 | 2 | 1 | 3 | 0.130 | 0.0320 | 0.0322 | 0.0893 | 0.0899 |
| 2016-17 | Northeast Generals | NAHL | 10 | 1 | 0 | 1 | 0.100 | 0.0355 | 0.0350 | 0.1050 | 0.1036 |
| 2017-18 | Rochester Monarchs | NCDC | 50 | 1 | 23 | 24 | 0.480 | 0.1109 | 0.1047 | 0.3881 | 0.3664 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Utica | D3 | UCHC | GR | 22 | 5 | 16 | 21 | 0.955 |
| 2021-22 | Utica | D3 | UCHC | SR | 29 | 8 | 32 | 40 | 1.379 |
| 2020-21 | Utica | D3 | UCHC | JR | 10 | 0 | 11 | 11 | 1.100 |
| 2019-20 | Utica | D3 | UCHC | SO | 29 | 4 | 19 | 23 | 0.793 |
| 2018-19 | Utica | D3 | UCHC | FR | 29 | 2 | 11 | 13 | 0.448 |
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.