| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Lincoln Stars | USHL | 59 | 0 | 9 | 9 | 0.152 | 0.0937 | 0.0995 | 0.4493 | 0.4772 |
| 2024-25 | Lincoln Stars | USHL | 60 | 4 | 29 | 33 | 0.550 | 0.3381 | 0.3418 | 1.6204 | 1.6382 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Cloud State | D1 | NCHC | FR | 14 | 3 | 3 | 6 | 0.429 |
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.