| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Buffalo Jr. Sabres | OJHL | 54 | 28 | 24 | 52 | 0.963 | 0.2691 | 0.2773 | 0.6646 | 0.6848 |
| 2013-14 | Buffalo Jr. Sabres | OJHL | 51 | 31 | 47 | 78 | 1.529 | 0.4273 | 0.4184 | 1.0554 | 1.0335 |
| 2014-15 | Lone Star Brahmas | NAHL | 59 | 9 | 25 | 34 | 0.576 | 0.2140 | 0.2034 | 0.6102 | 0.5801 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | SUNY Plattsburgh | D3 | — | SR | 27 | 8 | 7 | 15 | 0.556 |
| 2017-18 | SUNY Plattsburgh | D3 | — | JR | 10 | 4 | 4 | 8 | 0.800 |
| 2016-17 | SUNY Plattsburgh | D3 | — | SO | 26 | 5 | 7 | 12 | 0.462 |
| 2015-16 | SUNY Plattsburgh | D3 | — | FR | 25 | 11 | 16 | 27 | 1.080 |
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.