| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Soo Eagles | NOJHL | 44 | 14 | 39 | 53 | 1.204 | 0.2031 | 0.2049 | 0.5005 | 0.5049 |
| 2011-12 | Soo Eagles | NOJHL | 41 | 9 | 23 | 32 | 0.780 | 0.1316 | 0.1258 | 0.3243 | 0.3100 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Canton | D3 | — | SR | 27 | 5 | 7 | 12 | 0.444 |
| 2014-15 | Canton | D3 | — | JR | 25 | 8 | 6 | 14 | 0.560 |
| 2013-14 | Wisconsin-River Falls | D3 | BigTen | SO | 5 | 0 | 0 | 0 | 0.000 |
| 2012-13 | Canton | D3 | — | FR | 15 | 2 | 5 | 7 | 0.467 |
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.