| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Humboldt Broncos | SJHL | 24 | 0 | 3 | 3 | 0.125 | 0.0361 | 0.0380 | 0.0941 | 0.0991 |
| 2010-11 | Dauphin Kings | MJHL | 45 | 14 | 26 | 40 | 0.889 | 0.2515 | 0.2511 | 0.5601 | 0.5593 |
| 2011-12 | Dauphin Kings | MJHL | 59 | 16 | 46 | 62 | 1.051 | 0.2973 | 0.2819 | 0.6621 | 0.6278 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | NCHC | SR | 41 | 3 | 10 | 13 | 0.317 |
| 2015-16 | Minnesota Duluth | D1 | NCHC | JR | 22 | 3 | 1 | 4 | 0.182 |
| 2014-15 | Minnesota Duluth | D1 | NCHC | JR | 34 | 1 | 5 | 6 | 0.176 |
| 2012-13 | St. Scholastica | D3 | — | FR | 25 | 7 | 12 | 19 | 0.760 |
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.