| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Hamilton Red Wings | OJHL | 50 | 10 | 20 | 30 | 0.600 | 0.1802 | 0.1652 | 0.4107 | 0.3765 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Skidmore | D3 | SUNYAC | SR | 26 | 5 | 14 | 19 | 0.731 |
| 2012-13 | Skidmore | D3 | SUNYAC | JR | 26 | 9 | 14 | 23 | 0.885 |
| 2011-12 | Skidmore | D3 | SUNYAC | SO | 27 | 3 | 9 | 12 | 0.444 |
| 2010-11 | Skidmore | D3 | SUNYAC | FR | 26 | 3 | 7 | 10 | 0.385 |
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.