| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Bismarck Bobcats | NAHL | 55 | 14 | 20 | 34 | 0.618 | 0.2295 | 0.2388 | 0.6546 | 0.6812 |
| 2014-15 | Bismarck Bobcats | NAHL | 51 | 22 | 27 | 49 | 0.961 | 0.3567 | 0.3525 | 1.0173 | 1.0052 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | St. Thomas | D3 | — | SR | 24 | 9 | 8 | 17 | 0.708 |
| 2017-18 | St. Thomas | D3 | — | JR | 26 | 12 | 9 | 21 | 0.808 |
| 2016-17 | St. Thomas | D3 | — | SO | 27 | 7 | 4 | 11 | 0.407 |
| 2015-16 | St. Thomas | D3 | — | FR | 24 | 5 | 8 | 13 | 0.542 |
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.