| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Odessa Jackalopes | NAHL | 54 | 12 | 14 | 26 | 0.481 | 0.1710 | 0.1817 | 0.5055 | 0.5370 |
| 2017-18 | Odessa Jackalopes | NAHL | 58 | 12 | 30 | 42 | 0.724 | 0.2572 | 0.2605 | 0.7602 | 0.7700 |
| 2018-19 | — | NAHL | 58 | 17 | 27 | 44 | 0.759 | 0.2695 | 0.2609 | 0.7965 | 0.7711 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Adrian | D3 | NCHA | — | 28 | 18 | 22 | 40 | 1.429 |
| 2022-23 | Adrian | D3 | NCHA | — | 27 | 8 | 21 | 29 | 1.074 |
| 2021-22 | Adrian | D3 | NCHA | — | 26 | 8 | 19 | 27 | 1.038 |
| 2019-20 | Adrian | D3 | NCHA | — | 28 | 14 | 19 | 33 | 1.179 |
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.