| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | U.S. National U17 Team | NTDP-U18 | 52 | 6 | 7 | 13 | 0.250 | 0.1938 | 0.1963 | 0.9305 | 0.9426 |
| 2015-16 | U.S. National U18 Team | NTDP-U18 | 64 | 9 | 9 | 18 | 0.281 | 0.2180 | 0.2106 | 1.0466 | 1.0111 |
| 2018-19 | Dubuque Fighting Saints | USHL | 45 | 16 | 24 | 40 | 0.889 | 0.5464 | 0.4883 | 2.6189 | 2.3406 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Arizona State | D1 | — | SR | 26 | 5 | 11 | 16 | 0.615 |
| 2019-20 | Arizona State | D1 | — | JR | 36 | 10 | 30 | 40 | 1.111 |
| 2017-18 | Michigan | D1 | BigTen | SO | 27 | 3 | 5 | 8 | 0.296 |
| 2016-17 | Michigan | D1 | BigTen | FR | 34 | 6 | 7 | 13 | 0.382 |
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.