| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Muskegon Lumberjacks | USHL | 52 | 2 | 10 | 12 | 0.231 | 0.1470 | 0.1460 | 0.6916 | 0.6867 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Cloud State | D1 | NCHC | SR | 29 | 0 | 4 | 4 | 0.138 |
| 2015-16 | St. Cloud State | D1 | NCHC | JR | 29 | 2 | 5 | 7 | 0.241 |
| 2014-15 | St. Cloud State | D1 | NCHC | SO | 33 | 2 | 3 | 5 | 0.151 |
| 2013-14 | St. Cloud State | D1 | NCHC | FR | 30 | 0 | 1 | 1 | 0.033 |
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.