| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cedar Rapids RoughRiders | USHL | 58 | 5 | 26 | 31 | 0.534 | 0.3286 | 0.3267 | 1.5747 | 1.5657 |
| 2022-23 | Cedar Rapids RoughRiders | USHL | 43 | 3 | 21 | 24 | 0.558 | 0.3431 | 0.3233 | 1.6443 | 1.5495 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | New Hampshire | D1 | HockeyEast | — | 35 | 2 | 15 | 17 | 0.486 |
| 2024-25 | New Hampshire | D1 | HockeyEast | — | 33 | 1 | 2 | 3 | 0.091 |
| 2023-24 | New Hampshire | D1 | HockeyEast | — | 28 | 0 | 5 | 5 | 0.179 |
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.