| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | NTDP-U18 | 60 | 7 | 32 | 39 | 0.650 | 0.5040 | 0.5132 | 2.4192 | 2.4632 |
| 2018-19 | — | NTDP-U18 | 64 | 8 | 29 | 37 | 0.578 | 0.4483 | 0.4336 | 2.1516 | 2.0810 |
| 2020-21 | — | USHL | 24 | 8 | 14 | 22 | 0.917 | 0.5635 | 0.5635 | 2.7008 | 2.7008 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Harvard | D1 | ECAC | — | 33 | 7 | 24 | 31 | 0.939 |
| 2021-22 | Harvard | D1 | ECAC | — | 35 | 7 | 25 | 32 | 0.914 |
| 2019-20 | Harvard | D1 | ECAC | FR | 31 | 3 | 18 | 21 | 0.677 |
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.