| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | NA3HL | 46 | 8 | 12 | 20 | 0.435 | 0.0524 | 0.0538 | 0.1374 | 0.1412 |
| 2015-16 | — | NA3HL | 43 | 14 | 14 | 28 | 0.651 | 0.0785 | 0.0768 | 0.2057 | 0.2013 |
| 2016-17 | Atlanta Capitals | NA3HL | 45 | 28 | 45 | 73 | 1.622 | 0.1955 | 0.1814 | 0.5125 | 0.4756 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Wisconsin-River Falls | D3 | BigTen | SO | 20 | 1 | 2 | 3 | 0.150 |
| 2017-18 | Wisconsin-River Falls | D3 | BigTen | FR | 29 | 1 | 4 | 5 | 0.172 |
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.