| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Collingwood Blues | OJHL | 46 | 3 | 11 | 14 | 0.304 | 0.0746 | 0.0792 | 0.2095 | 0.2225 |
| 2016-17 | Collingwood Blues | OJHL | 52 | 12 | 34 | 46 | 0.885 | 0.2168 | 0.2205 | 0.6090 | 0.6195 |
| 2017-18 | Collingwood Blues | OJHL | 54 | 8 | 39 | 47 | 0.870 | 0.2133 | 0.2067 | 0.5993 | 0.5807 |
| 2018-19 | Carleton Place Canadians | CCHL | 22 | 10 | 8 | 18 | 0.818 | 0.1775 | 0.1648 | 0.6330 | 0.5876 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin-Stout | D3 | WIAC | SR | 18 | 0 | 11 | 11 | 0.611 |
| 2021-22 | Wisconsin-Stout | D3 | WIAC | JR | 20 | 6 | 7 | 13 | 0.650 |
| 2020-21 | Skidmore | D3 | SUNYAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Skidmore | D1 | SUNYAC | FR | 25 | 0 | 10 | 10 | 0.400 |
| 2019-20 | Skidmore | D3 | SUNYAC | — | 25 | 0 | 10 | 10 | 0.400 |
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.