| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Utah Outliers | NCDC | 14 | 1 | 7 | 8 | 0.571 | 0.1321 | 0.1316 | 0.4620 | 0.4604 |
| 2024-25 | New Hampshire Avalanche | EHL | 46 | 11 | 21 | 32 | 0.696 | 0.1018 | 0.0983 | 0.3411 | 0.3293 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arcadia | D3 | MAC | — | 25 | 1 | 11 | 12 | 0.480 |
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.