| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | U.S. National U17 Team | NTDP-U18 | 57 | 5 | 13 | 18 | 0.316 | 0.2347 | 0.2382 | 1.1784 | 1.1959 |
| 2016-17 | — | NTDP-U18 | 57 | 4 | 10 | 14 | 0.246 | 0.1826 | 0.1764 | 0.9164 | 0.8850 |
| 2017-18 | Dubuque Fighting Saints | USHL | 59 | 9 | 23 | 32 | 0.542 | 0.3200 | 0.3181 | 1.6290 | 1.6196 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Arizona State | D1 | NCHC | SO | 36 | 11 | 21 | 32 | 0.889 |
| 2018-19 | Arizona State | D1 | NCHC | FR | 35 | 4 | 16 | 20 | 0.571 |
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.