| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Central Illinois Flying Aces | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Central Illinois Flying Aces | USHL | 3 | 0 | 1 | 1 | 0.333 | 0.1966 | 0.2114 | 1.0001 | 1.0753 |
| 2016-17 | Janesville Jets | NAHL | 53 | 13 | 29 | 42 | 0.792 | 0.2912 | 0.3072 | 0.8376 | 0.8837 |
| 2017-18 | — | USHL | 51 | 6 | 10 | 16 | 0.314 | 0.1851 | 0.1804 | 0.9413 | 0.9173 |
| 2018-19 | Youngstown Phantoms | USHL | 49 | 10 | 20 | 30 | 0.612 | 0.3611 | 0.3333 | 1.8370 | 1.6953 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nebraska Omaha | D1 | NCHC | — | 32 | 2 | 3 | 5 | 0.156 |
| 2020-21 | Nebraska Omaha | D1 | NCHC | SO | 22 | 1 | 8 | 9 | 0.409 |
| 2019-20 | Nebraska Omaha | D1 | NCHC | FR | 31 | 9 | 9 | 18 | 0.581 |
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.