| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Topeka Capitals | NA3HL | 47 | 19 | 22 | 41 | 0.872 | 0.1051 | 0.1033 | 0.2756 | 0.2708 |
| 2015-16 | Atlanta Capitals | NA3HL | 46 | 32 | 42 | 74 | 1.609 | 0.1938 | 0.1810 | 0.5082 | 0.4746 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Olaf | D3 | MIAC | SR | 25 | 5 | 3 | 8 | 0.320 |
| 2018-19 | St. Olaf | D3 | MIAC | JR | 22 | 2 | 4 | 6 | 0.273 |
| 2017-18 | St. Olaf | D3 | MIAC | SO | 24 | 3 | 4 | 7 | 0.292 |
| 2016-17 | St. Olaf | D3 | MIAC | FR | 4 | 1 | 0 | 1 | 0.250 |
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.