| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Amarillo Bulls | NAHL | 52 | 2 | 10 | 12 | 0.231 | 0.0857 | 0.0879 | 0.2444 | 0.2507 |
| 2012-13 | Amarillo Bulls | NAHL | 56 | 7 | 21 | 28 | 0.500 | 0.1857 | 0.1812 | 0.5294 | 0.5165 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Canisius | D1 | AHA | SR | 39 | 2 | 11 | 13 | 0.333 |
| 2015-16 | Canisius | D1 | AHA | JR | 39 | 0 | 6 | 6 | 0.154 |
| 2014-15 | Canisius | D1 | AHA | SO | 30 | 0 | 5 | 5 | 0.167 |
| 2013-14 | Canisius | D1 | AHA | FR | 29 | 1 | 2 | 3 | 0.103 |
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.