| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Aurora Tigers | OJHL | 41 | 4 | 7 | 11 | 0.268 | 0.0806 | 0.0770 | 0.1837 | 0.1755 |
| 2017-18 | — | OJHL | 30 | 10 | 7 | 17 | 0.567 | 0.1702 | 0.1544 | 0.3879 | 0.3519 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Canton | D1 | — | SO | 14 | 1 | 2 | 3 | 0.214 |
| 2019-20 | Canton | D3 | — | SO | 14 | 1 | 2 | 3 | 0.214 |
| 2018-19 | Canton | D1 | — | FR | 25 | 8 | 3 | 11 | 0.440 |
| 2018-19 | Canton | D3 | — | FR | 25 | 8 | 3 | 11 | 0.440 |
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.