| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Eau Claire Area Stars | USHS-W | 20 | 14 | 12 | 26 | 1.300 | 0.3909 | 0.3909 | — | — |
| 2018-19 | Eau Claire Area Stars | USHS-W | 20 | 11 | 8 | 19 | 0.950 | 0.2857 | 0.2857 | — | — |
| 2019-20 | Eau Claire Area Stars | USHS-W | 24 | 13 | 9 | 22 | 0.917 | 0.2757 | 0.2757 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Chatham | D3 | UCHC | — | 19 | 3 | 1 | 4 | 0.210 |
| 2022-23 | Chatham | D3 | UCHC | — | 27 | 7 | 2 | 9 | 0.333 |
| 2021-22 | Chatham | D3 | UCHC | — | 27 | 3 | 7 | 10 | 0.370 |
| 2020-21 | Chatham | D3 | UCHC | — | 12 | 4 | 3 | 7 | 0.583 |
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.