| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Lincoln Stars | USHL | 39 | 6 | 2 | 8 | 0.205 | 0.1306 | 0.1244 | 0.6146 | 0.5854 |
| 2012-13 | Bismarck Bobcats | NAHL | 58 | 9 | 19 | 28 | 0.483 | 0.1793 | 0.1682 | 0.5112 | 0.4795 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Saint Mary's | D3 | — | SR | 26 | 14 | 10 | 24 | 0.923 |
| 2015-16 | Saint Mary's | D3 | — | JR | 25 | 9 | 18 | 27 | 1.080 |
| 2014-15 | Saint Mary's | D3 | — | SO | 17 | 9 | 13 | 22 | 1.294 |
| 2013-14 | Bemidji State | D1 | WCHA | FR | 26 | 1 | 2 | 3 | 0.115 |
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.