| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Renfrew Wolves | CCHL | 48 | 11 | 10 | 21 | 0.438 | 0.0949 | 0.0974 | 0.3385 | 0.3475 |
| 2018-19 | Renfrew Wolves | CCHL | 62 | 31 | 38 | 69 | 1.113 | 0.2414 | 0.2371 | 0.8611 | 0.8456 |
| 2019-20 | Renfrew Wolves | CCHL | 48 | 24 | 39 | 63 | 1.312 | 0.2847 | 0.2847 | 1.0155 | 1.0155 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Niagara | D1 | AHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Niagara | D1 | AHA | — | 0 | 0 | 0 | 0 | 0.000 |
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.