| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | — | NTDP-U18 | 66 | 19 | 25 | 44 | 0.667 | 0.5170 | 0.5118 | 2.4814 | 2.4565 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Denver | D1 | NCHC | JR | 39 | 14 | 34 | 48 | 1.231 |
| 2016-17 | Denver | D1 | NCHC | SO | 35 | 22 | 23 | 45 | 1.286 |
| 2015-16 | Denver | D1 | NCHC | FR | 41 | 9 | 13 | 22 | 0.537 |
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.