| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Lincoln Stars | USHL | 60 | 11 | 15 | 26 | 0.433 | 0.2759 | 0.2650 | 1.2985 | 1.2473 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | RPI | D1 | — | SR | 30 | 3 | 1 | 4 | 0.133 |
| 2015-16 | RPI | D1 | — | JR | 40 | 8 | 9 | 17 | 0.425 |
| 2014-15 | RPI | D1 | — | SO | 34 | 3 | 2 | 5 | 0.147 |
| 2013-14 | RPI | D1 | — | FR | 17 | 1 | 3 | 4 | 0.235 |
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.