| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | New Jersey Jr. Titans | EHL | 2 | 0 | 1 | 1 | 0.500 | 0.1759 | 0.1892 | 0.2452 | 0.2637 |
| 2015-16 | New Jersey Jr. Titans | NAHL | 19 | 1 | 2 | 3 | 0.158 | 0.0626 | 0.0639 | 0.1658 | 0.1693 |
| 2016-17 | New Jersey Jr. Titans | NAHL | 52 | 15 | 25 | 40 | 0.769 | 0.3048 | 0.2946 | 0.8076 | 0.7806 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Plattsburgh | D1 | — | JR | 3 | 0 | 0 | 0 | 0.000 |
| 2019-20 | SUNY Plattsburgh | D3 | — | JR | 3 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Plattsburgh | D1 | — | SO | 22 | 3 | 4 | 7 | 0.318 |
| 2018-19 | SUNY Plattsburgh | D3 | — | SO | 22 | 3 | 4 | 7 | 0.318 |
| 2017-18 | SUNY Plattsburgh | D3 | — | FR | 17 | 1 | 3 | 4 | 0.235 |
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.