| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Waterloo Black Hawks | USHL | 4 | 0 | 1 | 1 | 0.250 | 0.1475 | 0.1475 | 0.7366 | 0.7366 |
| 2020-21 | Janesville Jets | NAHL | 5 | 1 | 1 | 2 | 0.400 | 0.1421 | 0.1421 | 0.4200 | 0.4200 |
| 2021-22 | Northeast Generals | NAHL | 53 | 19 | 20 | 39 | 0.736 | 0.2614 | 0.2557 | 0.7725 | 0.7557 |
| 2022-23 | Northeast Generals | NAHL | 57 | 9 | 14 | 23 | 0.404 | 0.1433 | 0.1332 | 0.4236 | 0.3936 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Scholastica | D3 | MIAC | JR | 23 | 7 | 5 | 12 | 0.522 |
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.