| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Paul Academy | USHS-MN | 26 | 18 | 12 | 30 | 1.154 | 0.1461 | 0.1461 | 0.2803 | 0.2803 |
| 2020-21 | Northeast Generals | NAHL | 20 | 4 | 2 | 6 | 0.300 | 0.1102 | 0.1102 | 0.3167 | 0.3167 |
| 2021-22 | Minnesota Magicians | NAHL | 26 | 2 | 2 | 4 | 0.154 | 0.0565 | 0.0555 | 0.1623 | 0.1593 |
| 2022-23 | St. Cloud Norsemen | NAHL | 20 | 1 | 2 | 3 | 0.150 | 0.0551 | 0.0514 | 0.1583 | 0.1476 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Hamline | D3 | MIAC | — | 3 | 0 | 1 | 1 | 0.333 |
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.