| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Spruce Grove Saints | AJHL | 17 | 3 | 7 | 10 | 0.588 | 0.1973 | 0.1973 | 0.5443 | 0.5443 |
| 2021-22 | Spruce Grove Saints | AJHL | 58 | 16 | 23 | 39 | 0.672 | 0.2255 | 0.2438 | 0.6222 | 0.6727 |
| 2022-23 | Spruce Grove Saints | AJHL | 54 | 26 | 41 | 67 | 1.241 | 0.4161 | 0.4292 | 1.1481 | 1.1844 |
| 2023-24 | Des Moines Buccaneers | USHL | 62 | 23 | 20 | 43 | 0.694 | 0.4091 | 0.3929 | 2.0829 | 2.0005 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota State | D1 | CCHA | SO | 40 | 6 | 17 | 23 | 0.575 |
| 2024-25 | Nebraska Omaha | D1 | NCHC | — | 15 | 2 | 2 | 4 | 0.267 |
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.