| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Madison Capitols | USHL | 7 | 0 | 1 | 1 | 0.143 | 0.0843 | 0.0926 | 0.4292 | 0.4714 |
| 2017-18 | Madison Capitols | USHL | 45 | 21 | 13 | 34 | 0.756 | 0.4457 | 0.4674 | 2.2694 | 2.3799 |
| 2018-19 | — | USHL | 57 | 14 | 17 | 31 | 0.544 | 0.3208 | 0.3199 | 1.6335 | 1.6287 |
| 2019-20 | Green Bay Gamblers | USHL | 43 | 17 | 15 | 32 | 0.744 | 0.4390 | 0.4390 | 2.2351 | 2.2351 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Providence | D1 | HockeyEast | — | 26 | 6 | 3 | 9 | 0.346 |
| 2023-24 | Arizona State | D1 | NCHC | SR | 37 | 9 | 6 | 15 | 0.405 |
| 2022-23 | Arizona State | D1 | NCHC | JR | 36 | 8 | 8 | 16 | 0.444 |
| 2021-22 | Arizona State | D1 | NCHC | SO | 31 | 6 | 5 | 11 | 0.355 |
| 2020-21 | Arizona State | D1 | NCHC | FR | 23 | 3 | 10 | 13 | 0.565 |
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.