| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Traverse City North Stars | NAHL | 59 | 13 | 22 | 35 | 0.593 | 0.2203 | 0.2360 | 0.6281 | 0.6730 |
| 2012-13 | Sioux Falls Stampede | USHL | 64 | 13 | 28 | 41 | 0.641 | 0.4079 | 0.4008 | 1.9197 | 1.8861 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Ferris State | D1 | WCHA | JR | 41 | 9 | 16 | 25 | 0.610 |
| 2014-15 | Ferris State | D1 | WCHA | SO | 37 | 10 | 6 | 16 | 0.432 |
| 2013-14 | Ferris State | D1 | WCHA | FR | 43 | 10 | 15 | 25 | 0.581 |
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.