| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | New Mexico Mustangs | NAHL | 54 | 3 | 5 | 8 | 0.148 | 0.0550 | 0.0597 | 0.1568 | 0.1701 |
| 2012-13 | Amarillo Wranglers | NAHL | 7 | 1 | 1 | 2 | 0.286 | 0.1061 | 0.1098 | 0.3025 | 0.3129 |
| 2014-15 | South Shore Kings | USPHL-Premier-Classic | 22 | 5 | 17 | 22 | 1.000 | 0.3003 | 0.2858 | 0.8237 | 0.7840 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Hobart | D3 | SUNYAC | SR | 14 | 3 | 6 | 9 | 0.643 |
| 2017-18 | Hobart | D3 | SUNYAC | JR | 6 | 0 | 3 | 3 | 0.500 |
| 2016-17 | Hobart | D3 | SUNYAC | SO | 18 | 3 | 8 | 11 | 0.611 |
| 2015-16 | Hobart | D3 | SUNYAC | FR | 13 | 1 | 5 | 6 | 0.462 |
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.