| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Mercer Chiefs | NCDC | 43 | 12 | 17 | 29 | 0.674 | 0.3760 | 0.3669 | 0.5453 | 0.5322 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Concordia | D3 | MIAC | — | 24 | 7 | 2 | 9 | 0.375 |
| 2025-26 | Concordia (WI) | D3 | NCHA | JR | 24 | 7 | 2 | 9 | 0.375 |
| 2024-25 | Fitchburg State | D3 | MASCAC | — | 28 | 8 | 15 | 23 | 0.821 |
| 2023-24 | St. Scholastica | D3 | MIAC | FR | 10 | 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.