| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Nipawin Hawks | SJHL | 37 | 3 | 8 | 11 | 0.297 | 0.0762 | 0.0762 | 0.2203 | 0.2203 |
| 2020-21 | Olds Grizzlys | AJHL | 4 | 0 | 1 | 1 | 0.250 | 0.0838 | 0.0838 | 0.2317 | 0.2317 |
| 2021-22 | Olds Grizzlys | AJHL | 33 | 2 | 6 | 8 | 0.242 | 0.0813 | 0.0764 | 0.2247 | 0.2113 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alvernia | D3 | MAC | SR | 25 | 4 | 7 | 11 | 0.440 |
| 2024-25 | Alvernia | D3 | MAC | JR | 26 | 6 | 11 | 17 | 0.654 |
| 2023-24 | Alvernia | D3 | MAC | SO | 12 | 1 | 1 | 2 | 0.167 |
| 2022-23 | Alvernia | D3 | MAC | FR | 26 | 7 | 8 | 15 | 0.577 |
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.