| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Dubuque Fighting Saints | USHL | 43 | 4 | 12 | 16 | 0.372 | 0.2370 | 0.2610 | 1.1151 | 1.2281 |
| 2013-14 | Dubuque Fighting Saints | USHL | 60 | 1 | 16 | 17 | 0.283 | 0.1804 | 0.1902 | 0.8490 | 0.8953 |
| 2014-15 | Dubuque Fighting Saints | USHL | 38 | 2 | 15 | 17 | 0.447 | 0.2849 | 0.2864 | 1.3407 | 1.3480 |
| 2015-16 | Dubuque Fighting Saints | USHL | 56 | 7 | 29 | 36 | 0.643 | 0.4094 | 0.3926 | 1.9266 | 1.8475 |
| 2016-17 | Madison Capitols | USHL | 22 | 2 | 2 | 4 | 0.182 | 0.1158 | 0.1051 | 0.5448 | 0.4946 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Michigan Tech | D1 | WCHA | SR | 27 | 2 | 3 | 5 | 0.185 |
| 2018-19 | Michigan Tech | D1 | WCHA | SR | 37 | 2 | 11 | 13 | 0.351 |
| 2017-18 | Michigan Tech | D1 | WCHA | SO | 21 | 1 | 7 | 8 | 0.381 |
| 2014-15 | Wisconsin | D1 | BigTen | FR | 12 | 0 | 2 | 2 | 0.167 |
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.