| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Louis Jr. Blues | NA3HL | 36 | 1 | 11 | 12 | 0.333 | 0.0418 | 0.0431 | 0.1052 | 0.1085 |
| 2017-18 | St. Louis Jr. Blues | NA3HL | 45 | 6 | 13 | 19 | 0.422 | 0.0530 | 0.0520 | 0.1333 | 0.1307 |
| 2018-19 | St. Louis Jr. Blues | NA3HL | 45 | 10 | 37 | 47 | 1.044 | 0.1311 | 0.1217 | 0.3297 | 0.3060 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Lawrence | D3 | NCHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Lawrence | D1 | ECAC | FR | 18 | 1 | 2 | 3 | 0.167 |
| 2019-20 | Lawrence | D3 | NCHA | — | 18 | 1 | 2 | 3 | 0.167 |
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.