| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Port Hope Predators | OJHL | 22 | 1 | 2 | 3 | 0.136 | 0.0334 | 0.0299 | 0.0938 | 0.0840 |
| 2008-09 | Concordia Univ. | USports-M | 11 | 0 | 1 | 1 | 0.091 | 0.0480 | 0.0454 | 0.2664 | 0.2522 |
| 2009-10 | Concordia Univ. | USports-M | 21 | 0 | 1 | 1 | 0.048 | 0.0251 | 0.0226 | 0.1395 | 0.1257 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | SUNY Morrisville | D3 | SUNYAC | SO | 25 | 0 | 5 | 5 | 0.200 |
| 2006-07 | SUNY Morrisville | D3 | SUNYAC | FR | 17 | 0 | 7 | 7 | 0.412 |
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.