| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Green Bay Gamblers | USHL | 59 | 13 | 36 | 49 | 0.831 | 0.4899 | 0.4945 | 2.4943 | 2.5176 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | North Dakota | D1 | WCHA-orig | SR | 43 | 2 | 8 | 10 | 0.233 |
| 2009-10 | North Dakota | D1 | NCHC | JR | 43 | 2 | 20 | 22 | 0.512 |
| 2008-09 | North Dakota | D1 | NCHC | SO | 32 | 1 | 4 | 5 | 0.156 |
| 2007-08 | North Dakota | D1 | NCHC | FR | 31 | 2 | 5 | 7 | 0.226 |
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.