| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Madison Capitols | USHL | 60 | 17 | 16 | 33 | 0.550 | 0.3244 | 0.3176 | 1.6519 | 1.6171 |
| 2015-16 | — | USHL | 61 | 19 | 14 | 33 | 0.541 | 0.3191 | 0.2976 | 1.6248 | 1.5151 |
| 2023-24 | Nürnberg Ice Tigers | DEL | 52 | 14 | 19 | 33 | 0.635 | 1.5865 | 1.6330 | 5.3803 | 5.5379 |
| 2024-25 | Nürnberg Ice Tigers | DEL | 51 | 13 | 13 | 26 | 0.510 | 1.2745 | 1.2533 | 4.3222 | 4.2503 |
| 2025-26 | Nürnberg Ice Tigers | DEL | 49 | 10 | 18 | 28 | 0.571 | 1.4285 | 1.4717 | 4.8444 | 4.9908 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Minnesota State | D1 | WCHA | SR | 37 | 13 | 17 | 30 | 0.811 |
| 2018-19 | Minnesota State | D1 | WCHA | JR | 42 | 12 | 18 | 30 | 0.714 |
| 2017-18 | Minnesota State | D1 | WCHA | SO | 14 | 2 | 3 | 5 | 0.357 |
| 2016-17 | Minnesota State | D1 | WCHA | FR | 28 | 3 | 2 | 5 | 0.179 |
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.