| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | NAHL | 35 | 5 | 4 | 9 | 0.257 | 0.1019 | 0.1049 | 0.2699 | 0.2779 |
| 2012-13 | — | NAHL | 54 | 7 | 15 | 22 | 0.407 | 0.1614 | 0.1581 | 0.4277 | 0.4190 |
| 2013-14 | — | NAHL | 60 | 8 | 15 | 23 | 0.383 | 0.1519 | 0.1412 | 0.4024 | 0.3740 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Lake Forest | D3 | NCHA | SR | 27 | 3 | 7 | 10 | 0.370 |
| 2016-17 | Lake Forest | D3 | NCHA | JR | 22 | 2 | 3 | 5 | 0.227 |
| 2015-16 | Lake Forest | D3 | NCHA | SO | 18 | 2 | 2 | 4 | 0.222 |
| 2014-15 | Lake Forest | D3 | NCHA | FR | 7 | 2 | 0 | 2 | 0.286 |
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.