| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Maryland Black Bears | NAHL | 44 | 5 | 8 | 13 | 0.295 | 0.1097 | 0.1097 | 0.3129 | 0.3129 |
| 2020-21 | — | NAHL | 46 | 8 | 10 | 18 | 0.391 | 0.1453 | 0.1453 | 0.4143 | 0.4143 |
| 2021-22 | St. Cloud Norsemen | NAHL | 32 | 6 | 13 | 19 | 0.594 | 0.2205 | 0.2062 | 0.6287 | 0.5880 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lake Forest | D3 | NCHA | SR | 25 | 7 | 17 | 24 | 0.960 |
| 2024-25 | Lake Forest | D3 | NCHA | JR | 24 | 2 | 11 | 13 | 0.542 |
| 2023-24 | Lake Forest | D3 | NCHA | SO | 25 | 6 | 19 | 25 | 1.000 |
| 2022-23 | Lake Forest | D3 | NCHA | FR | 5 | 1 | 3 | 4 | 0.800 |
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.