| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1180 | 0.1300 | 0.6007 | 0.6616 |
| 2016-17 | — | USHL | 53 | 27 | 27 | 54 | 1.019 | 0.6010 | 0.6313 | 3.0602 | 3.2145 |
| 2017-18 | — | USHL | 17 | 6 | 5 | 11 | 0.647 | 0.3817 | 0.3820 | 1.9435 | 1.9450 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Denver | D1 | NCHC | SR | 41 | 19 | 26 | 45 | 1.098 |
| 2020-21 | Denver | D1 | NCHC | JR | 23 | 8 | 14 | 22 | 0.957 |
| 2019-20 | Denver | D1 | NCHC | SO | 35 | 14 | 14 | 28 | 0.800 |
| 2018-19 | Denver | D1 | NCHC | FR | 41 | 14 | 12 | 26 | 0.634 |
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.