| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | St. Cloud Norsemen | NAHL | 56 | 3 | 19 | 22 | 0.393 | 0.1459 | 0.1536 | 0.4160 | 0.4381 |
| 2011-12 | Lincoln Stars | USHL | 56 | 9 | 25 | 34 | 0.607 | 0.3866 | 0.3743 | 1.8193 | 1.7613 |
| 2012-13 | Lincoln Stars | USHL | 62 | 12 | 37 | 49 | 0.790 | 0.5033 | 0.4605 | 2.3683 | 2.1668 |
| 2024-25 | MoDo Hockey | SHL | 50 | 5 | 12 | 17 | 0.340 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | North Dakota | D1 | NCHC | JR | 41 | 5 | 14 | 19 | 0.463 |
| 2014-15 | North Dakota | D1 | NCHC | SO | 41 | 5 | 17 | 22 | 0.537 |
| 2013-14 | North Dakota | D1 | NCHC | FR | 41 | 6 | 15 | 21 | 0.512 |
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.