| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Amarillo Wranglers | NAHL | 22 | 3 | 6 | 9 | 0.409 | 0.1519 | 0.1487 | 0.4332 | 0.4241 |
| 2011-12 | Alaska Avalanche | NAHL | 60 | 16 | 27 | 43 | 0.717 | 0.2661 | 0.2474 | 0.7588 | 0.7054 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Hamline | D3 | MIAC | SR | 27 | 5 | 7 | 12 | 0.444 |
| 2014-15 | Hamline | D3 | MIAC | JR | 28 | 12 | 8 | 20 | 0.714 |
| 2013-14 | Hamline | D3 | MIAC | SO | 25 | 9 | 8 | 17 | 0.680 |
| 2012-13 | Hamline | D3 | MIAC | FR | 17 | 4 | 4 | 8 | 0.471 |
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.