| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Johnstown Tomahawks | NAHL | 3 | 2 | 0 | 2 | 0.667 | 0.2368 | 0.2368 | 0.7000 | 0.7000 |
| 2021-22 | Johnstown Tomahawks | NAHL | 58 | 10 | 15 | 25 | 0.431 | 0.1531 | 0.1530 | 0.4525 | 0.4522 |
| 2022-23 | Johnstown Tomahawks | NAHL | 57 | 9 | 16 | 25 | 0.439 | 0.1558 | 0.1481 | 0.4605 | 0.4376 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Plymouth State | D3 | LittleEast | GR | 22 | 6 | 8 | 14 | 0.636 |
| 2024-25 | Plymouth State | D3 | LittleEast | SR | 24 | 3 | 6 | 9 | 0.375 |
| 2023-24 | Plymouth State | D3 | LittleEast | JR | 25 | 8 | 9 | 17 | 0.680 |
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.