| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Madison Capitols | USHL | 57 | 17 | 18 | 35 | 0.614 | 0.3622 | 0.4028 | 1.8424 | 2.0491 |
| 2018-19 | — | USHL | 58 | 13 | 17 | 30 | 0.517 | 0.3051 | 0.3236 | 1.5520 | 1.6461 |
| 2019-20 | Des Moines Buccaneers | USHL | 45 | 16 | 10 | 26 | 0.578 | 0.3408 | 0.3408 | 1.7338 | 1.7338 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Maine | D1 | HockeyEast | — | 30 | 1 | 10 | 11 | 0.367 |
| 2021-22 | Arizona State | D1 | NCHC | SO | 30 | 2 | 10 | 12 | 0.400 |
| 2020-21 | Arizona State | D1 | NCHC | FR | 26 | 6 | 4 | 10 | 0.385 |
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.