| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | New England Wolves | EHL | 41 | 7 | 18 | 25 | 0.610 | 0.0893 | 0.0924 | 0.2987 | 0.3090 |
| 2016-17 | New England Wolves | EHL | 47 | 11 | 9 | 20 | 0.425 | 0.0623 | 0.0616 | 0.2084 | 0.2061 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Nazareth | D3 | UCHC | SO | 0 | 19 | 84 | 103 | 0.000 |
| 2016-17 | Nazareth | D3 | UCHC | FR | 0 | 13 | 56 | 69 | 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.