| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnesota Magicians | NAHL | 5 | 1 | 0 | 1 | 0.200 | 0.0710 | 0.0760 | 0.2100 | 0.2249 |
| 2022-23 | — | NAHL | 12 | 1 | 1 | 2 | 0.167 | 0.0592 | 0.0605 | 0.1750 | 0.1788 |
| 2023-24 | Rochester Grizzlies | NA3HL | 39 | 24 | 24 | 48 | 1.231 | 0.1361 | 0.1308 | 0.2625 | 0.2557 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | D3 | MIAC | — | 20 | 1 | 1 | 2 | 0.100 |
| 2024-25 | Hamline | D3 | MIAC | — | 20 | 3 | 2 | 5 | 0.250 |
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.