| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Green Bay Gamblers | USHL | 48 | 10 | 9 | 19 | 0.396 | 0.2335 | 0.2548 | 1.1887 | 1.2970 |
| 2009-10 | Green Bay Gamblers | USHL | 52 | 15 | 14 | 29 | 0.558 | 0.3290 | 0.3379 | 1.6750 | 1.7203 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Ohio State | D1 | CCHA-orig | JR | 38 | 6 | 3 | 9 | 0.237 |
| 2011-12 | Ohio State | D1 | CCHA-orig | SO | 35 | 14 | 10 | 24 | 0.686 |
| 2010-11 | Ohio State | D1 | CCHA-orig | FR | 37 | 4 | 6 | 10 | 0.270 |
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.