| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | New Hampshire Jr. Monarchs | EHLP | 6 | 3 | 1 | 4 | 0.667 | 0.1259 | 0.1247 | 0.1501 | 0.1487 |
| 2017-18 | New England Wolves | EHL | 50 | 13 | 30 | 43 | 0.860 | 0.3026 | 0.3025 | 0.4217 | 0.4215 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Canton | D3 | — | SO | 2 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Canton | D3 | — | FR | 11 | 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.