| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Selkirk Steelers | MJHL | 2 | 1 | 0 | 1 | 0.500 | 0.1359 | 0.1526 | 0.3151 | 0.3538 |
| 2019-20 | Selkirk Steelers | MJHL | 59 | 25 | 22 | 47 | 0.797 | 0.2166 | 0.2166 | 0.5020 | 0.5020 |
| 2020-21 | Spruce Grove Saints | AJHL | 16 | 4 | 5 | 9 | 0.562 | 0.1866 | 0.1866 | 0.5213 | 0.5213 |
| 2021-22 | Spruce Grove Saints | AJHL | 58 | 46 | 27 | 73 | 1.259 | 0.4176 | 0.4046 | 1.1665 | 1.1303 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northern Michigan | D1 | CCHA | SR | 33 | 16 | 2 | 18 | 0.545 |
| 2024-25 | Ferris State | D1 | CCHA | SR | 36 | 15 | 10 | 25 | 0.694 |
| 2023-24 | Ferris State | D1 | CCHA | JR | 20 | 2 | 3 | 5 | 0.250 |
| 2022-23 | Ferris State | D1 | CCHA | SO | 21 | 3 | 4 | 7 | 0.333 |
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.