| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Portage Terriers | MJHL | 60 | 7 | 12 | 19 | 0.317 | 0.0610 | 0.0631 | 0.1997 | 0.2064 |
| 2014-15 | Portage Terriers | MJHL | 51 | 4 | 26 | 30 | 0.588 | 0.1132 | 0.1111 | 0.3709 | 0.3641 |
| 2015-16 | Virden Oil Capitals | MJHL | 23 | 5 | 18 | 23 | 1.000 | 0.1925 | 0.1789 | 0.6306 | 0.5860 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Marian | D3 | NCHA | — | 28 | 3 | 19 | 22 | 0.786 |
| 2018-19 | St. Scholastica | D3 | MIAC | GR | 22 | 2 | 7 | 9 | 0.409 |
| 2017-18 | St. Scholastica | D3 | MIAC | SR | 26 | 8 | 8 | 16 | 0.615 |
| 2016-17 | St. Scholastica | D3 | MIAC | JR | 18 | 1 | 5 | 6 | 0.333 |
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.