| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Aberdeen Wings | NAHL | 51 | 8 | 6 | 14 | 0.275 | 0.1019 | 0.1072 | 0.2906 | 0.3059 |
| 2014-15 | Aberdeen Wings | NAHL | 56 | 7 | 9 | 16 | 0.286 | 0.1061 | 0.1061 | 0.3025 | 0.3025 |
| 2015-16 | Johnstown Tomahawks | NAHL | 49 | 7 | 10 | 17 | 0.347 | 0.1288 | 0.1231 | 0.3673 | 0.3511 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Aurora | D3 | NCHA | SR | 20 | 5 | 11 | 16 | 0.800 |
| 2018-19 | Aurora | D3 | NCHA | JR | 27 | 9 | 11 | 20 | 0.741 |
| 2017-18 | Aurora | D3 | NCHA | SO | 23 | 8 | 6 | 14 | 0.609 |
| 2016-17 | Aurora | D3 | NCHA | FR | 19 | 4 | 8 | 12 | 0.632 |
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.