| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Renfrew Wolves | CCHL | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Renfrew Wolves | CCHL | 56 | 9 | 17 | 26 | 0.464 | 0.1007 | 0.1079 | 0.3594 | 0.3852 |
| 2017-18 | Renfrew Wolves | CCHL | 61 | 17 | 26 | 43 | 0.705 | 0.1529 | 0.1560 | 0.5457 | 0.5568 |
| 2018-19 | Johnstown Tomahawks | NAHL | 60 | 17 | 22 | 39 | 0.650 | 0.2309 | 0.2297 | 0.6824 | 0.6790 |
| 2019-20 | Johnstown Tomahawks | NAHL | 50 | 12 | 30 | 42 | 0.840 | 0.2984 | 0.2984 | 0.8819 | 0.8819 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Plattsburgh | D3 | SUNYAC | SR | 27 | 17 | 17 | 34 | 1.259 |
| 2022-23 | SUNY Plattsburgh | D3 | SUNYAC | JR | 27 | 15 | 10 | 25 | 0.926 |
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | SO | 23 | 14 | 13 | 27 | 1.174 |
| 2020-21 | Alabama Huntsville | D1 | — | FR | 15 | 2 | 0 | 2 | 0.133 |
| 2020-21 | Alabama-Huntsville | D1 | — | FR | 15 | 2 | 0 | 2 | 0.133 |
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.