| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Youngstown Phantoms | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Youngstown Phantoms | USHL | 48 | 6 | 2 | 8 | 0.167 | 0.1062 | 0.1106 | 0.4995 | 0.5202 |
| 2015-16 | Youngstown Phantoms | USHL | 56 | 10 | 5 | 15 | 0.268 | 0.1706 | 0.1697 | 0.8028 | 0.7988 |
| 2017-18 | Sioux Falls Stampede | USHL | 59 | 19 | 17 | 36 | 0.610 | 0.3886 | 0.3475 | 1.8286 | 1.6352 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Omaha | D1 | NCHC | — | 37 | 10 | 11 | 21 | 0.568 |
| 2020-21 | Nebraska Omaha | D1 | NCHC | SR | 25 | 9 | 10 | 19 | 0.760 |
| 2019-20 | Nebraska Omaha | D1 | NCHC | JR | 36 | 12 | 15 | 27 | 0.750 |
| 2018-19 | Nebraska Omaha | D1 | NCHC | SO | 35 | 6 | 7 | 13 | 0.371 |
| 2016-17 | Denver | D1 | NCHC | FR | 28 | 3 | 4 | 7 | 0.250 |
| 2007-08 | Nichols | D3 | — | FR | 2 | 0 | 0 | 0 | 0.000 |
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.