| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | USHL | 8 | 3 | 2 | 5 | 0.625 | 0.3842 | 0.4194 | 1.8414 | 2.0102 |
| 2014-15 | — | USHL | 57 | 35 | 33 | 68 | 1.193 | 0.7333 | 0.7645 | 3.5148 | 3.6642 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | North Dakota | D1 | NCHC | SO | 32 | 16 | 18 | 34 | 1.062 |
| 2015-16 | North Dakota | D1 | NCHC | FR | 42 | 27 | 33 | 60 | 1.429 |
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.