| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Peoria Mustangs | NA3HL | 46 | 7 | 16 | 23 | 0.500 | 0.0628 | 0.0679 | 0.1578 | 0.1705 |
| 2015-16 | Peoria Mustangs | NA3HL | 47 | 23 | 44 | 67 | 1.425 | 0.1789 | 0.1846 | 0.4500 | 0.4644 |
| 2016-17 | Peoria Mustangs | NA3HL | 45 | 24 | 25 | 49 | 1.089 | 0.1367 | 0.1342 | 0.3438 | 0.3374 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Concordia | D3 | MIAC | — | 24 | 1 | 1 | 2 | 0.083 |
| 2018-19 | Concordia | D3 | MIAC | — | 25 | 1 | 4 | 5 | 0.200 |
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.