| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Wilkes-Barre/Scranton Knights | NAHL | 53 | 21 | 17 | 38 | 0.717 | 0.2662 | 0.2706 | 0.7592 | 0.7719 |
| 2016-17 | — | NAHL | 23 | 8 | 7 | 15 | 0.652 | 0.2422 | 0.2331 | 0.6905 | 0.6645 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Wisconsin-Eau Claire | D3 | BigTen | SO | 16 | 2 | 4 | 6 | 0.375 |
| 2017-18 | Wisconsin-Eau Claire | D3 | BigTen | FR | 1 | 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.