| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Estevan Bruins | SJHL | 33 | 7 | 5 | 12 | 0.364 | 0.1050 | 0.1050 | 0.2737 | 0.2737 |
| 2020-21 | Oklahoma Warriors | NAHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Northern Manitoba Blizzard | MJHL | 44 | 29 | 24 | 53 | 1.204 | 0.3408 | 0.3156 | 0.7590 | 0.7029 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Mary | ACHA_D1 | — | — | 40 | 19 | 19 | 38 | 0.950 |
| 2024-25 | Concordia | D3 | MIAC | GR | 23 | 3 | 1 | 4 | 0.174 |
| 2024-25 | Concordia Wisconsin | D3 | NCHA | JR | 23 | 3 | 1 | 4 | 0.174 |
| 2024-25 | University of Mary | ACHA_D1 | — | — | 40 | 19 | 19 | 38 | 0.950 |
| 2023-24 | Concordia | D3 | MIAC | SR | 27 | 8 | 7 | 15 | 0.556 |
| 2023-24 | Concordia Wisconsin | D3 | NCHA | SO | 27 | 8 | 7 | 15 | 0.556 |
| 2023-24 | University of Mary | ACHA_D1 | — | — | 40 | 19 | 19 | 38 | 0.950 |
| 2022-23 | Concordia | D3 | MIAC | JR | 19 | 2 | 6 | 8 | 0.421 |
| 2022-23 | Concordia Wisconsin | D3 | NCHA | FR | 18 | 1 | 7 | 8 | 0.444 |
| 2022-23 | University of Mary | ACHA_D1 | — | — | 40 | 19 | 19 | 38 | 0.950 |
| 2021-22 | University of Mary | ACHA_D1 | — | — | 40 | 19 | 19 | 38 | 0.950 |
| 2020-21 | University of Mary | ACHA_D1 | — | — | 40 | 19 | 19 | 38 | 0.950 |
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.