| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Chicago Steel | USHL | 45 | 2 | 5 | 7 | 0.156 | 0.0991 | 0.1083 | 0.4663 | 0.5098 |
| 2011-12 | Chicago Steel | USHL | 57 | 8 | 16 | 24 | 0.421 | 0.2682 | 0.2807 | 1.2619 | 1.3206 |
| 2012-13 | Lincoln Stars | USHL | 57 | 6 | 14 | 20 | 0.351 | 0.2235 | 0.2220 | 1.0515 | 1.0445 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | RPI | D1 | — | SR | 37 | 3 | 3 | 6 | 0.162 |
| 2015-16 | RPI | D1 | — | JR | 20 | 2 | 9 | 11 | 0.550 |
| 2014-15 | RPI | D1 | — | SO | 39 | 1 | 4 | 5 | 0.128 |
| 2013-14 | RPI | D1 | — | FR | 25 | 1 | 3 | 4 | 0.160 |
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.