| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | USHL | 11 | 0 | 2 | 2 | 0.182 | 0.1158 | 0.1208 | 0.5448 | 0.5682 |
| 2013-14 | — | USHL | 55 | 13 | 19 | 32 | 0.582 | 0.3705 | 0.3691 | 1.7435 | 1.7370 |
| 2014-15 | — | USHL | 60 | 29 | 27 | 56 | 0.933 | 0.5943 | 0.5629 | 2.7968 | 2.6489 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Miami | D1 | NCHC | JR | 36 | 9 | 21 | 30 | 0.833 |
| 2016-17 | Miami | D1 | NCHC | SO | 36 | 14 | 24 | 38 | 1.056 |
| 2015-16 | Miami | D1 | NCHC | FR | 34 | 11 | 7 | 18 | 0.529 |
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.