| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | New Jersey Rockets | EHL | 30 | 1 | 3 | 4 | 0.133 | 0.0286 | 0.0303 | 0.0653 | 0.0692 |
| 2015-16 | Boston Jr. Rangers | EHL | 27 | 1 | 4 | 5 | 0.185 | 0.0397 | 0.0403 | 0.0907 | 0.0921 |
| 2016-17 | Long Beach Sharks | NA3HL | 46 | 30 | 43 | 73 | 1.587 | 0.1912 | 0.1801 | 0.5013 | 0.4722 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Trine | D3 | NCHA | SR | 12 | 0 | 1 | 1 | 0.083 |
| 2019-20 | Trine | D3 | NCHA | JR | 25 | 6 | 7 | 13 | 0.520 |
| 2018-19 | Trine | D3 | NCHA | SO | 24 | 1 | 5 | 6 | 0.250 |
| 2017-18 | Trine | D3 | NCHA | FR | 23 | 3 | 3 | 6 | 0.261 |
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.