| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Waterloo Black Hawks | USHL | 51 | 5 | 14 | 19 | 0.372 | 0.2372 | 0.2330 | 1.1163 | 1.0963 |
| 2013-14 | Waterloo Black Hawks | USHL | 60 | 24 | 26 | 50 | 0.833 | 0.5306 | 0.4963 | 2.4972 | 2.3358 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | St. Cloud State | D1 | NCHC | SR | 34 | 8 | 8 | 16 | 0.471 |
| 2016-17 | St. Cloud State | D1 | NCHC | JR | 35 | 12 | 13 | 25 | 0.714 |
| 2015-16 | St. Cloud State | D1 | NCHC | SO | 41 | 12 | 12 | 24 | 0.585 |
| 2014-15 | St. Cloud State | D1 | NCHC | FR | 35 | 5 | 5 | 10 | 0.286 |
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.