| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Louis Jr. Blues | NA3HL | 45 | 50 | 26 | 76 | 1.689 | 0.2035 | 0.2007 | 0.5335 | 0.5262 |
| 2017-18 | St. Louis Jr. Blues | NA3HL | 41 | 34 | 47 | 81 | 1.976 | 0.2381 | 0.2228 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saint Mary's | D3 | MIAC | SR | 22 | 2 | 4 | 6 | 0.273 |
| 2020-21 | Saint Mary's | D3 | — | JR | 11 | 1 | 3 | 4 | 0.364 |
| 2019-20 | Saint Mary's | D3 | — | SO | 25 | 3 | 3 | 6 | 0.240 |
| 2018-19 | Saint Mary's | D3 | — | FR | 25 | 7 | 8 | 15 | 0.600 |
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.