| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Tabor | NE-Prep | 25 | 8 | 20 | 28 | 1.120 | 0.2160 | 0.2160 | 0.5125 | 0.5125 |
| 2022-23 | Tabor | NE-Prep | 26 | 18 | 16 | 34 | 1.308 | 0.2523 | 0.2523 | 0.5984 | 0.5984 |
| 2023-24 | New Hampshire Mountain Kings | NAHL | 15 | 2 | 4 | 6 | 0.400 | 0.1421 | 0.1402 | 0.4200 | 0.4145 |
| 2024-25 | South Shore Kings | NCDC | 40 | 20 | 31 | 51 | 1.275 | 0.2947 | 0.2762 | 1.0310 | 0.9662 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wesleyan | D3 | NESCAC | — | 24 | 2 | 6 | 8 | 0.333 |
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.