| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | NAHL | 43 | 2 | 7 | 9 | 0.209 | 0.0769 | 0.0801 | 0.2209 | 0.2302 |
| 2013-14 | Aberdeen Wings | NAHL | 49 | 7 | 16 | 23 | 0.469 | 0.1725 | 0.1711 | 0.4955 | 0.4915 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Concordia | D3 | MIAC | SR | 26 | 14 | 13 | 27 | 1.038 |
| 2016-17 | Concordia | D3 | MIAC | JR | 27 | 7 | 18 | 25 | 0.926 |
| 2015-16 | Concordia | D3 | MIAC | SO | 26 | 3 | 11 | 14 | 0.538 |
| 2014-15 | Concordia | D3 | MIAC | FR | 26 | 4 | 8 | 12 | 0.462 |
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.