| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | CCHL | 44 | 7 | 5 | 12 | 0.273 | 0.0591 | 0.0606 | 0.2111 | 0.2165 |
| 2024-25 | — | CCHL | 49 | 8 | 8 | 16 | 0.327 | 0.0708 | 0.0694 | 0.2527 | 0.2477 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arcadia | D3 | MAC | — | 22 | 5 | 5 | 10 | 0.455 |
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.