| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Amarillo Bulls | NAHL | 38 | 5 | 9 | 14 | 0.368 | 0.1309 | 0.1417 | 0.3868 | 0.4188 |
| 2012-13 | — | NAHL | 37 | 1 | 2 | 3 | 0.081 | 0.0288 | 0.0297 | 0.0851 | 0.0879 |
| 2013-14 | Philadelphia Little Flyers | EHL | 41 | 15 | 23 | 38 | 0.927 | 0.1356 | 0.1339 | 0.4544 | 0.4486 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Saint Mary's (MN) | D3 | — | SR | 19 | 3 | 7 | 10 | 0.526 |
| 2016-17 | Saint Mary's (MN) | D3 | — | JR | 13 | 0 | 2 | 2 | 0.154 |
| 2015-16 | Saint Mary's (MN) | D3 | — | SO | 13 | 2 | 1 | 3 | 0.231 |
| 2014-15 | Saint Mary's (MN) | D3 | — | FR | 8 | 1 | 0 | 1 | 0.125 |
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.