| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Lincoln Stars | USHL | 28 | 2 | 0 | 2 | 0.071 | 0.0421 | 0.0460 | 0.2104 | 0.2301 |
| 2009-10 | Sioux City Musketeers | USHL | 5 | 0 | 3 | 3 | 0.600 | 0.3539 | 0.3485 | 1.7677 | 1.7408 |
| 2010-11 | West Kelowna Warriors | BCHL | 60 | 24 | 26 | 50 | 0.833 | 0.3211 | 0.3085 | 1.2142 | 1.1665 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | SUNY Geneseo | D3 | — | SR | 26 | 13 | 20 | 33 | 1.269 |
| 2013-14 | SUNY Geneseo | D3 | — | JR | 29 | 18 | 14 | 32 | 1.103 |
| 2012-13 | SUNY Geneseo | D3 | — | SO | 24 | 9 | 12 | 21 | 0.875 |
| 2011-12 | UMass Lowell | D1 | HockeyEast | FR | 11 | 0 | 0 | 0 | 0.000 |
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.