| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Kindersley Klippers | SJHL | 38 | 1 | 9 | 10 | 0.263 | 0.0802 | 0.0802 | 0.1951 | 0.1951 |
| 2020-21 | Kindersley Klippers | SJHL | 3 | 0 | 2 | 2 | 0.667 | 0.2031 | 0.2031 | 0.4941 | 0.4941 |
| 2021-22 | Bismarck Bobcats | NAHL | 58 | 5 | 23 | 28 | 0.483 | 0.1913 | 0.1978 | 0.5069 | 0.5242 |
| 2022-23 | Bismarck Bobcats | NAHL | 60 | 9 | 30 | 39 | 0.650 | 0.2575 | 0.2536 | 0.6824 | 0.6722 |
| 2023-24 | Fargo Force | USHL | 62 | 5 | 23 | 28 | 0.452 | 0.2776 | 0.2476 | 1.3305 | 1.1865 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | D1 | ECAC | SO | 37 | 7 | 16 | 23 | 0.622 |
| 2024-25 | Colgate | D1 | ECAC | — | 35 | 8 | 12 | 20 | 0.571 |
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.