| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | New England Wolves | EHL | 40 | 12 | 17 | 29 | 0.725 | 0.1556 | 0.1580 | 0.3550 | 0.3604 |
| 2015-16 | New England Wolves | EHL | 37 | 13 | 14 | 27 | 0.730 | 0.1566 | 0.1521 | 0.3573 | 0.3471 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Fredonia | D3 | — | JR | 20 | 5 | 6 | 11 | 0.550 |
| 2017-18 | Fredonia | D3 | — | SO | 23 | 9 | 7 | 16 | 0.696 |
| 2016-17 | Fredonia | D3 | — | FR | 16 | 3 | 3 | 6 | 0.375 |
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.