| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Waterloo Black Hawks | USHL | 7 | 1 | 2 | 3 | 0.429 | 0.2528 | 0.2636 | 1.2873 | 1.3422 |
| 2017-18 | Waterloo Black Hawks | USHL | 53 | 4 | 7 | 11 | 0.207 | 0.1224 | 0.1215 | 0.6232 | 0.6188 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bowling Green | D1 | CCHA | — | 34 | 0 | 4 | 4 | 0.118 |
| 2021-22 | Minnesota Duluth | D1 | NCHC | — | 41 | 1 | 5 | 6 | 0.146 |
| 2020-21 | Minnesota Duluth | D1 | NCHC | JR | 28 | 1 | 4 | 5 | 0.179 |
| 2019-20 | Minnesota Duluth | D1 | NCHC | SO | 4 | 0 | 1 | 1 | 0.250 |
| 2018-19 | Minnesota Duluth | D1 | NCHC | FR | 25 | 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.