| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Ohio Blue Jackets | USHL | 57 | 12 | 23 | 35 | 0.614 | 0.3774 | 0.4095 | 1.8090 | 1.9631 |
| 2008-09 | Fargo Force | USHL | 56 | 14 | 43 | 57 | 1.018 | 0.6257 | 0.6510 | 2.9989 | 3.1202 |
| 2009-10 | Fargo Force | USHL | 54 | 25 | 41 | 66 | 1.222 | 0.7513 | 0.7336 | 3.6008 | 3.5158 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Minnesota | D1 | BigTen | — | 40 | 9 | 32 | 41 | 1.025 |
| 2014-15 | Minnesota State | D1 | WCHA | SR | 40 | 9 | 32 | 41 | 1.025 |
| 2013-14 | Minnesota | D1 | BigTen | — | 30 | 12 | 33 | 45 | 1.500 |
| 2013-14 | Minnesota State | D1 | WCHA | JR | 39 | 12 | 33 | 45 | 1.154 |
| 2012-13 | Minnesota | D1 | WCHA-orig | — | 41 | 17 | 30 | 47 | 1.146 |
| 2012-13 | Minnesota State | D1 | — | SO | 41 | 17 | 30 | 47 | 1.146 |
| 2011-12 | Minnesota | D1 | WCHA-orig | — | 38 | 11 | 18 | 29 | 0.763 |
| 2011-12 | Minnesota State | D1 | — | FR | 38 | 11 | 18 | 29 | 0.763 |
| 2010-11 | Minnesota | D1 | WCHA-orig | — | 0 | 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.