| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Janesville Jets | NAHL | 56 | 6 | 5 | 11 | 0.196 | 0.0729 | 0.0771 | 0.2079 | 0.2198 |
| 2012-13 | Janesville Jets | NAHL | 54 | 9 | 12 | 21 | 0.389 | 0.1444 | 0.1454 | — | — |
| 2013-14 | Youngstown Phantoms | USHL | 58 | 7 | 10 | 17 | 0.293 | 0.1866 | 0.1720 | 0.8783 | 0.8094 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Miami | D1 | NCHC | SR | 37 | 2 | 4 | 6 | 0.162 |
| 2016-17 | Miami | D1 | NCHC | JR | 35 | 1 | 1 | 2 | 0.057 |
| 2015-16 | Miami | D1 | NCHC | SO | 32 | 3 | 1 | 4 | 0.125 |
| 2014-15 | Miami | D1 | NCHC | FR | 36 | 1 | 2 | 3 | 0.083 |
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.