| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | NAHL | 7 | 1 | 0 | 1 | 0.143 | 0.0566 | 0.0564 | 0.1500 | 0.1495 |
| 2013-14 | Mason City Toros | NA3HL | 40 | 27 | 20 | 47 | 1.175 | 0.2703 | 0.2528 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wisconsin-Superior | D3 | BigTen | JR | 25 | 1 | 0 | 1 | 0.040 |
| 2015-16 | Wisconsin-Superior | D3 | BigTen | SO | 12 | 0 | 0 | 0 | 0.000 |
| 2014-15 | Wisconsin-Superior | D3 | BigTen | FR | 25 | 3 | 1 | 4 | 0.160 |
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.