| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Corpus Christi IceRays | NAHL | 33 | 1 | 1 | 2 | 0.061 | 0.0225 | 0.0231 | 0.0642 | 0.0660 |
| 2018-19 | — | NAHL | 54 | 13 | 10 | 23 | 0.426 | 0.1581 | 0.1555 | 0.4509 | 0.4436 |
| 2019-20 | St. Cloud Norsemen | NAHL | 47 | 9 | 19 | 28 | 0.596 | 0.2212 | 0.2212 | 0.6307 | 0.6307 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Saint Mary's | D3 | MIAC | SR | 26 | 11 | 8 | 19 | 0.731 |
| 2022-23 | Saint Mary's | D3 | MIAC | JR | 24 | 5 | 7 | 12 | 0.500 |
| 2021-22 | Saint Mary's | D3 | MIAC | SO | 23 | 5 | 6 | 11 | 0.478 |
| 2020-21 | Saint Mary's | D3 | — | FR | 11 | 6 | 6 | 12 | 1.091 |
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.