| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Waterloo Black Hawks | USHL | 47 | 3 | 9 | 12 | 0.255 | 0.1626 | 0.1720 | 0.7651 | 0.8094 |
| 2015-16 | — | NAHL | 50 | 9 | 25 | 34 | 0.680 | 0.2525 | 0.2640 | 0.7200 | 0.7529 |
| 2016-17 | — | NAHL | 46 | 17 | 22 | 39 | 0.848 | 0.3148 | 0.3121 | 0.8977 | 0.8900 |
| 2017-18 | Corpus Christi IceRays | NAHL | 55 | 25 | 22 | 47 | 0.855 | 0.3173 | 0.2989 | 0.9047 | 0.8522 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Aurora | D3 | NCHA | SR | 26 | 6 | 10 | 16 | 0.615 |
| 2020-21 | Aurora | D3 | NCHA | JR | 11 | 1 | 4 | 5 | 0.455 |
| 2019-20 | Aurora | D3 | NCHA | SO | 26 | 9 | 13 | 22 | 0.846 |
| 2018-19 | Aurora | D3 | NCHA | FR | 27 | 5 | 16 | 21 | 0.778 |
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.