| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | NTDP-U18 | 55 | 21 | 21 | 42 | 0.764 | 0.6074 | 0.6248 | 2.8598 | 2.9415 |
| 2015-16 | — | NTDP-U18 | 64 | 27 | 30 | 57 | 0.891 | 0.7084 | 0.6954 | 3.3355 | 3.2742 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Minnesota Duluth | D1 | NCHC | SO | 36 | 11 | 16 | 27 | 0.750 |
| 2016-17 | Minnesota Duluth | D1 | NCHC | FR | 39 | 12 | 25 | 37 | 0.949 |
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.