| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Florida Jr. Blades | USPHL-Premier | 25 | 18 | 9 | 27 | 1.080 | 0.1454 | 0.1454 | 0.3676 | 0.3676 |
| 2021-22 | Utah Outliers | USPHL-Premier | 40 | 18 | 20 | 38 | 0.950 | 0.1279 | 0.1225 | 0.3234 | 0.3097 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Concordia | D3 | MIAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Concordia | D3 | MIAC | — | 12 | 3 | 3 | 6 | 0.500 |
| 2022-23 | Concordia Wisconsin | D3 | NCHA | FR | 11 | 3 | 2 | 5 | 0.455 |
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.