| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wichita Falls Wildcats | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | P.A.L. Junior Islanders | NCDC | 50 | 17 | 13 | 30 | 0.600 | 0.1691 | 0.1684 | 0.4858 | 0.4839 |
| 2018-19 | P.A.L. Junior Islanders | NCDC | 50 | 23 | 23 | 46 | 0.920 | 0.2593 | 0.2435 | 0.7448 | 0.6993 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Trine | D3 | NCHA | SR | 28 | 10 | 18 | 28 | 1.000 |
| 2021-22 | Trine | D3 | NCHA | JR | 24 | 10 | 17 | 27 | 1.125 |
| 2020-21 | Trine | D3 | NCHA | SO | 13 | 5 | 9 | 14 | 1.077 |
| 2019-20 | Trine | D3 | NCHA | FR | 28 | 10 | 16 | 26 | 0.929 |
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.