| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Texas Jr. Brahmas | NA3HL | 32 | 19 | 25 | 44 | 1.375 | 0.1726 | 0.1822 | — | — |
| 2015-16 | — | OJHL | 54 | 8 | 25 | 33 | 0.611 | 0.1498 | 0.1475 | 0.4207 | 0.4143 |
| 2016-17 | Northeast Generals | NAHL | 20 | 3 | 4 | 7 | 0.350 | 0.1286 | 0.1240 | 0.3694 | 0.3563 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Elmira | D3 | UCHC | — | 11 | 0 | 0 | 0 | 0.000 |
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.