| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | USHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Dubuque Fighting Saints | USHL | 56 | 9 | 12 | 21 | 0.375 | 0.2305 | 0.2403 | 1.1048 | 1.1516 |
| 2015-16 | Dubuque Fighting Saints | USHL | 60 | 12 | 27 | 39 | 0.650 | 0.3996 | 0.3980 | 1.9150 | 1.9072 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Miami | D1 | NCHC | SR | 34 | 14 | 22 | 36 | 1.059 |
| 2018-19 | Miami | D1 | NCHC | JR | 38 | 11 | 14 | 25 | 0.658 |
| 2017-18 | Miami | D1 | NCHC | SO | 37 | 15 | 18 | 33 | 0.892 |
| 2016-17 | Miami | D1 | NCHC | FR | 36 | 8 | 13 | 21 | 0.583 |
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.