| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | BCHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | — | BCHL | 46 | 23 | 22 | 45 | 0.978 | 0.3769 | 0.4229 | 1.4237 | 1.5974 |
| 2015-16 | — | BCHL | 48 | 42 | 62 | 104 | 2.167 | 0.8348 | 0.8919 | 3.1532 | 3.3690 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | North Dakota | D1 | NCHC | FR | 33 | 16 | 19 | 35 | 1.061 |
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.