| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Janesville Jets | NAHL | 35 | 4 | 14 | 18 | 0.514 | 0.1910 | 0.1963 | 0.5445 | 0.5596 |
| 2017-18 | — | NAHL | 57 | 16 | 15 | 31 | 0.544 | 0.2020 | 0.1976 | 0.5759 | 0.5634 |
| 2018-19 | Springfield Jr. Blues | NAHL | 60 | 37 | 31 | 68 | 1.133 | 0.4208 | 0.3928 | 1.1999 | 1.1201 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | St. Norbert | D3 | NCHA | SR | 28 | 12 | 21 | 33 | 1.179 |
| 2021-22 | St. Norbert | D3 | NCHA | JR | 22 | 6 | 7 | 13 | 0.591 |
| 2020-21 | St. Norbert | D3 | NCHA | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | St. Norbert | D3 | NCHA | FR | 24 | 12 | 8 | 20 | 0.833 |
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.