| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wilkes-Barre/Scranton Knights | NAHL | 56 | 10 | 11 | 21 | 0.375 | 0.1392 | 0.1409 | 0.3971 | 0.4020 |
| 2017-18 | Wilkes-Barre/Scranton Knights | NAHL | 60 | 14 | 19 | 33 | 0.550 | 0.2042 | 0.1967 | 0.5823 | 0.5608 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Colby | D3 | NESCAC | SR | 22 | 5 | 13 | 18 | 0.818 |
| 2020-21 | Colby | D3 | NESCAC | JR | 4 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Colby | D3 | NESCAC | SO | 24 | 6 | 4 | 10 | 0.417 |
| 2018-19 | Colby | D3 | NESCAC | FR | 23 | 8 | 1 | 9 | 0.391 |
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.