| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Collingwood Blues | OJHL | 22 | 13 | 14 | 27 | 1.227 | 0.3429 | 0.3076 | 0.8470 | 0.7598 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | SUNY Cortland | D3 | — | SR | 25 | 24 | 23 | 47 | 1.880 |
| 2013-14 | SUNY Cortland | D3 | — | JR | 23 | 11 | 17 | 28 | 1.217 |
| 2012-13 | SUNY Cortland | D3 | — | SO | 25 | 12 | 6 | 18 | 0.720 |
| 2011-12 | SUNY Cortland | D3 | — | FR | 25 | 11 | 5 | 16 | 0.640 |
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.