| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Whitecourt Wolverines | AJHL | 48 | 9 | 6 | 15 | 0.312 | 0.1037 | 0.1037 | 0.2896 | 0.2896 |
| 2020-21 | Whitecourt Wolverines | AJHL | 9 | 3 | 4 | 7 | 0.778 | 0.2581 | 0.2581 | 0.7209 | 0.7209 |
| 2021-22 | Whitecourt Wolverines | AJHL | 60 | 29 | 42 | 71 | 1.183 | 0.3926 | 0.3738 | 1.0967 | 1.0443 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | SR | 26 | 7 | 2 | 9 | 0.346 |
| 2024-25 | RIT | D1 | AHA | JR | 35 | 3 | 2 | 5 | 0.143 |
| 2023-24 | RIT | D1 | AHA | SO | 35 | 6 | 7 | 13 | 0.371 |
| 2022-23 | RIT | D1 | AHA | FR | 39 | 11 | 9 | 20 | 0.513 |
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.