| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Waterloo Black Hawks | USHL | 53 | 8 | 21 | 29 | 0.547 | 0.3228 | 0.3407 | 1.6435 | 1.7346 |
| 2014-15 | — | USHL | 46 | 6 | 36 | 42 | 0.913 | 0.5386 | 0.5419 | 2.7421 | 2.7591 |
| 2022-23 | Nürnberg Ice Tigers | DEL | 46 | 7 | 11 | 18 | 0.391 | 0.9782 | 1.0837 | 3.3175 | 3.6753 |
| 2023-24 | Nürnberg Ice Tigers | DEL | 40 | 3 | 9 | 12 | 0.300 | 0.7500 | 0.7924 | 2.5435 | 2.6873 |
| 2024-25 | Nürnberg Ice Tigers | DEL | 46 | 2 | 10 | 12 | 0.261 | 0.6522 | 0.6591 | 2.2120 | 2.2355 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | North Dakota | D1 | NCHC | SR | 37 | 3 | 7 | 10 | 0.270 |
| 2017-18 | North Dakota | D1 | NCHC | JR | 40 | 3 | 10 | 13 | 0.325 |
| 2016-17 | North Dakota | D1 | NCHC | SO | 28 | 2 | 6 | 8 | 0.286 |
| 2015-16 | North Dakota | D1 | NCHC | FR | 32 | 2 | 4 | 6 | 0.188 |
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.