| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Nanaimo Clippers | BCHL | 4 | 0 | 1 | 1 | 0.250 | 0.0963 | 0.0941 | 0.3643 | 0.3559 |
| 2010-11 | Nanaimo Clippers | BCHL | 44 | 10 | 9 | 19 | 0.432 | 0.1664 | 0.1548 | 0.6292 | 0.5853 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | SUNY Geneseo | D3 | — | SR | 19 | 1 | 4 | 5 | 0.263 |
| 2013-14 | SUNY Geneseo | D3 | — | JR | 21 | 2 | 2 | 4 | 0.191 |
| 2012-13 | SUNY Geneseo | D3 | — | SO | 14 | 2 | 0 | 2 | 0.143 |
| 2011-12 | SUNY Geneseo | D3 | — | FR | 15 | 2 | 4 | 6 | 0.400 |
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.