| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Jamestown Ironmen | NAHL | 57 | 11 | 27 | 38 | 0.667 | 0.2475 | 0.2406 | 0.7059 | 0.6863 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Denver | D1 | NCHC | SR | 41 | 2 | 10 | 12 | 0.293 |
| 2015-16 | Denver | D1 | NCHC | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2013-14 | Denver | D1 | NCHC | FR | 8 | 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.