| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | EHL | 43 | 17 | 23 | 40 | 0.930 | 0.2149 | 0.2116 | 0.4551 | 0.4480 |
| 2014-15 | Northern Cyclones | EHL | 44 | 23 | 28 | 51 | 1.159 | 0.2678 | 0.2511 | 0.5671 | 0.5318 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | SUNY Cortland | D3 | SUNYAC | SO | 9 | 0 | 2 | 2 | 0.222 |
| 2015-16 | SUNY Cortland | D3 | SUNYAC | FR | 25 | 3 | 6 | 9 | 0.360 |
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.