| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Mason City Toros | NA3HL | 44 | 5 | 24 | 29 | 0.659 | 0.0794 | 0.0778 | 0.2082 | 0.2040 |
| 2013-14 | Mason City Toros | NA3HL | 46 | 10 | 28 | 38 | 0.826 | 0.0995 | 0.0936 | 0.2610 | 0.2455 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Aurora | D3 | NCHA | SR | 23 | 0 | 1 | 1 | 0.043 |
| 2016-17 | Aurora | D3 | NCHA | JR | 22 | 1 | 2 | 3 | 0.136 |
| 2015-16 | Aurora | D3 | NCHA | SO | 25 | 6 | 4 | 10 | 0.400 |
| 2014-15 | Aurora | D3 | NCHA | FR | 4 | 1 | 2 | 3 | 0.750 |
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.