| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Buffalo Jr. Sabres | OJHL | 47 | 17 | 17 | 34 | 0.723 | 0.2173 | 0.2145 | 0.4952 | 0.4888 |
| 2009-10 | Buffalo Jr. Sabres | OJHL | 53 | 18 | 25 | 43 | 0.811 | 0.2437 | 0.2278 | 0.5553 | 0.5190 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | SUNY Cortland | D3 | — | SR | 24 | 7 | 10 | 17 | 0.708 |
| 2012-13 | SUNY Cortland | D3 | — | JR | 25 | 7 | 15 | 22 | 0.880 |
| 2011-12 | SUNY Cortland | D3 | — | SO | 25 | 4 | 2 | 6 | 0.240 |
| 2010-11 | SUNY Cortland | D3 | — | FR | 25 | 2 | 4 | 6 | 0.240 |
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.