| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Gentry Academy | USHS-MN | 19 | 25 | 19 | 44 | 2.316 | 0.6234 | 0.6234 | 0.5625 | 0.5625 |
| 2021-22 | Chippewa Steel | NAHL | 60 | 18 | 25 | 43 | 0.717 | 0.2840 | 0.2920 | 0.7525 | 0.7738 |
| 2022-23 | Nanaimo Clippers | BCHL | 26 | 4 | 5 | 9 | 0.346 | 0.1290 | 0.1235 | — | — |
| 2023-24 | Janesville Jets | NAHL | 50 | 25 | 34 | 59 | 1.180 | 0.4675 | 0.4354 | 1.2389 | 1.1539 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Air Force | D1 | AHA | SO | 37 | 9 | 23 | 32 | 0.865 |
| 2024-25 | Air Force | D1 | AHA | — | 20 | 2 | 5 | 7 | 0.350 |
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.