| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | NAHL | 7 | 0 | 1 | 1 | 0.143 | 0.0525 | 0.0541 | 0.1510 | 0.1557 |
| 2018-19 | Odessa Jackalopes | NAHL | 45 | 2 | 7 | 9 | 0.200 | 0.0735 | 0.0725 | 0.2114 | 0.2085 |
| 2019-20 | — | NAHL | 51 | 11 | 7 | 18 | 0.353 | 0.1297 | 0.1297 | 0.3730 | 0.3730 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Robert Morris | D1 | AHA | — | 3 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Saint Mary's (MN) | D3 | MIAC | SO | 19 | 5 | 10 | 15 | 0.789 |
| 2020-21 | Robert Morris | D1 | AHA | FR | 2 | 0 | 0 | 0 | 0.000 |
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.