| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Omaha Lancers | USHL | 61 | 13 | 16 | 29 | 0.475 | 0.3027 | 0.3124 | 1.4246 | 1.4703 |
| 2013-14 | — | USHL | 59 | 17 | 27 | 44 | 0.746 | 0.4749 | 0.4679 | 2.2349 | 2.2021 |
| 2019-20 | Tigers Bayreuth | DEL2 | 29 | 12 | 20 | 32 | 1.103 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | RPI | D1 | — | JR | 36 | 4 | 8 | 12 | 0.333 |
| 2015-16 | RPI | D1 | — | SO | 28 | 4 | 7 | 11 | 0.393 |
| 2014-15 | RPI | D1 | — | FR | 36 | 9 | 11 | 20 | 0.556 |
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.