| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Jersey Jr. Titans | NAHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | New Jersey Jr. Titans | NAHL | 50 | 4 | 6 | 10 | 0.200 | 0.0792 | 0.0814 | 0.2100 | 0.2160 |
| 2022-23 | Cedar Rapids RoughRiders | USHL | 58 | 2 | 9 | 11 | 0.190 | 0.1166 | 0.1091 | 0.5589 | 0.5229 |
| 2023-24 | Cedar Rapids RoughRiders | USHL | 58 | 5 | 23 | 28 | 0.483 | 0.2968 | 0.2630 | 1.4224 | 1.2603 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | SO | 35 | 6 | 14 | 20 | 0.571 |
| 2024-25 | Dartmouth | D1 | ECAC | — | 19 | 0 | 1 | 1 | 0.053 |
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.