| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 11 | 1 | 3 | 4 | 0.364 | 0.2315 | 0.2642 | 1.0896 | 1.2435 |
| 2012-13 | — | USHL | 64 | 18 | 34 | 52 | 0.812 | 0.5174 | 0.5630 | 2.4348 | 2.6492 |
| 2013-14 | — | USHL | 55 | 18 | 45 | 63 | 1.145 | 0.7295 | 0.7596 | 3.4327 | 3.5745 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | North Dakota | D1 | NCHC | SO | 37 | 11 | 35 | 46 | 1.243 |
| 2014-15 | North Dakota | D1 | NCHC | FR | 38 | 5 | 21 | 26 | 0.684 |
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.