| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Fargo Force | USHL | 14 | 0 | 1 | 1 | 0.071 | 0.0421 | 0.0452 | 0.2142 | 0.2302 |
| 2019-20 | Des Moines Buccaneers | USHL | 35 | 1 | 4 | 5 | 0.143 | 0.0843 | 0.0843 | 0.4288 | 0.4288 |
| 2020-21 | Oklahoma Warriors | NAHL | 26 | 8 | 6 | 14 | 0.538 | 0.1978 | 0.1978 | 0.5691 | 0.5691 |
| 2021-22 | Oklahoma Warriors | NAHL | 58 | 20 | 32 | 52 | 0.897 | 0.3294 | 0.3178 | 0.9476 | 0.9143 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Arizona State | D1 | NCHC | — | 1 | 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.