| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | New Hampshire Jr. Monarchs | USPHL-Premier | 41 | 19 | 20 | 39 | 0.951 | 0.1280 | 0.1220 | 0.3238 | 0.3085 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Lawrence | D3 | NCHA | SR | 27 | 6 | 8 | 14 | 0.518 |
| 2020-21 | Lawrence | D3 | NCHA | JR | 9 | 3 | 4 | 7 | 0.778 |
| 2019-20 | Lawrence | D3 | NCHA | SO | 7 | 1 | 0 | 1 | 0.143 |
| 2018-19 | Lawrence | D3 | NCHA | FR | 16 | 0 | 0 | 0 | 0.000 |
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.