| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Aberdeen Wings | NAHL | 58 | 9 | 14 | 23 | 0.397 | 0.1473 | 0.1539 | 0.4199 | 0.4387 |
| 2011-12 | Sioux City Musketeers | USHL | 50 | 4 | 4 | 8 | 0.160 | 0.1019 | 0.0978 | 0.4795 | 0.4602 |
| 2012-13 | St. Cloud Norsemen | NAHL | 37 | 6 | 18 | 24 | 0.649 | 0.2408 | 0.2276 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Alabama-Huntsville | D1 | — | SR | 25 | 1 | 2 | 3 | 0.120 |
| 2015-16 | Alabama-Huntsville | D1 | — | JR | 31 | 4 | 2 | 6 | 0.194 |
| 2014-15 | Alabama-Huntsville | D1 | — | SO | 36 | 3 | 3 | 6 | 0.167 |
| 2013-14 | Alabama-Huntsville | D1 | — | FR | 38 | 2 | 2 | 4 | 0.105 |
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.