| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Tri-City Storm | USHL | 24 | 0 | 1 | 1 | 0.042 | 0.0266 | 0.0261 | 0.1250 | 0.1228 |
| 2013-14 | Minnesota Wilderness | NAHL | 46 | 4 | 7 | 11 | 0.239 | 0.0888 | 0.0862 | 0.2532 | 0.2458 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Alabama-Huntsville | D1 | — | SR | 28 | 1 | 3 | 4 | 0.143 |
| 2016-17 | Alabama-Huntsville | D1 | — | JR | 20 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Alabama-Huntsville | D1 | — | SO | 27 | 2 | 3 | 5 | 0.185 |
| 2014-15 | Alabama-Huntsville | D1 | — | FR | 31 | 3 | 2 | 5 | 0.161 |
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.