| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Omaha Lancers | USHL | 24 | 4 | 6 | 10 | 0.417 | 0.2458 | 0.2718 | 1.2475 | 1.3793 |
| 2012-13 | Omaha Lancers | USHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Lincoln Stars | USHL | 52 | 12 | 13 | 25 | 0.481 | 0.2836 | 0.2852 | 1.4394 | 1.4476 |
| 2014-15 | Lincoln Stars | USHL | 60 | 12 | 15 | 27 | 0.450 | 0.2655 | 0.2540 | 1.3472 | 1.2886 |
| 2015-16 | Muskegon Lumberjacks | USHL | 19 | 1 | 0 | 1 | 0.053 | 0.0310 | 0.0282 | 0.1575 | 0.1433 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Norbert | D1 | NCHA | SR | 25 | 6 | 18 | 24 | 0.960 |
| 2019-20 | St. Norbert | D3 | NCHA | SR | 25 | 6 | 18 | 24 | 0.960 |
| 2018-19 | St. Norbert | D1 | NCHA | JR | 30 | 12 | 18 | 30 | 1.000 |
| 2018-19 | St. Norbert | D3 | NCHA | JR | 30 | 12 | 18 | 30 | 1.000 |
| 2017-18 | St. Norbert | D3 | NCHA | SO | 31 | 12 | 16 | 28 | 0.903 |
| 2016-17 | St. Norbert | D3 | NCHA | FR | 26 | 7 | 8 | 15 | 0.577 |
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.