| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | NAHL | 59 | 14 | 22 | 36 | 0.610 | 0.2266 | 0.2274 | 0.6461 | 0.6482 |
| 2017-18 | Odessa Jackalopes | NAHL | 60 | 16 | 32 | 48 | 0.800 | 0.2970 | 0.2833 | 0.8470 | 0.8080 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | St. Norbert | D3 | NCHA | SR | 25 | 16 | 28 | 44 | 1.760 |
| 2020-21 | St. Norbert | D3 | NCHA | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | St. Norbert | D3 | NCHA | SO | 29 | 15 | 19 | 34 | 1.172 |
| 2018-19 | St. Norbert | D3 | NCHA | FR | 31 | 14 | 13 | 27 | 0.871 |
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.