| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Dubuque Fighting Saints | USHL | 59 | 8 | 19 | 27 | 0.458 | 0.2699 | 0.2803 | 1.3744 | 1.4273 |
| 2023-24 | Ilves | Liiga | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Ilves | Liiga | 18 | 1 | 3 | 4 | 0.222 | 0.5555 | 0.5477 | 1.9101 | 1.8834 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Notre Dame | D1 | BigTen | SR | 37 | 9 | 14 | 23 | 0.622 |
| 2018-19 | Notre Dame | D1 | BigTen | JR | 39 | 6 | 15 | 21 | 0.538 |
| 2017-18 | Notre Dame | D1 | BigTen | SO | 38 | 3 | 6 | 9 | 0.237 |
| 2016-17 | Notre Dame | D1 | BigTen | FR | 37 | 2 | 2 | 4 | 0.108 |
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.