| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Northern Cyclones | EHL | 42 | 14 | 17 | 31 | 0.738 | 0.1584 | 0.1579 | 0.3614 | 0.3603 |
| 2014-15 | Amarillo Bulls | NAHL | 53 | 9 | 13 | 22 | 0.415 | 0.1541 | 0.1448 | 0.4395 | 0.4130 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | St. Norbert | D3 | NCHA | SR | 31 | 14 | 19 | 33 | 1.065 |
| 2017-18 | St. Norbert | D3 | NCHA | JR | 24 | 6 | 15 | 21 | 0.875 |
| 2016-17 | St. Norbert | D3 | NCHA | SO | 28 | 11 | 10 | 21 | 0.750 |
| 2015-16 | St. Norbert | D3 | NCHA | FR | 26 | 13 | 13 | 26 | 1.000 |
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.