| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Burlington Cougars | OJHL | 50 | 5 | 28 | 33 | 0.660 | 0.1844 | 0.1993 | 0.4555 | 0.4923 |
| 2012-13 | Muskegon Lumberjacks | USHL | 64 | 1 | 14 | 15 | 0.234 | 0.1493 | 0.1380 | 0.7024 | 0.6493 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Penn State | D1 | BigTen | SR | 36 | 1 | 7 | 8 | 0.222 |
| 2013-14 | Penn State | D1 | BigTen | JR | 36 | 2 | 6 | 8 | 0.222 |
| 2011-12 | RPI | D1 | — | SO | 27 | 1 | 1 | 2 | 0.074 |
| 2010-11 | RPI | D1 | — | FR | 31 | 1 | 2 | 3 | 0.097 |
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.