| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston Jr. Bruins | USPHL-Premier-Classic | 29 | 3 | 11 | 14 | 0.483 | 0.1450 | 0.1456 | 0.3977 | 0.3994 |
| 2016-17 | — | USPHL-Premier-Classic | 41 | 18 | 16 | 34 | 0.829 | 0.2490 | 0.2379 | 0.6831 | 0.6527 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Buffalo State | D3 | SUNYAC | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Buffalo State | D3 | SUNYAC | JR | 26 | 12 | 13 | 25 | 0.962 |
| 2018-19 | Buffalo State | D3 | SUNYAC | SO | 21 | 9 | 7 | 16 | 0.762 |
| 2017-18 | Buffalo State | D3 | SUNYAC | FR | 27 | 9 | 15 | 24 | 0.889 |
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.