| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | NAHL | 19 | 7 | 3 | 10 | 0.526 | 0.2085 | 0.1998 | 0.5526 | 0.5294 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Hamline | D3 | MIAC | SR | 22 | 3 | 5 | 8 | 0.364 |
| 2016-17 | Hamline | D3 | MIAC | JR | 26 | 2 | 8 | 10 | 0.385 |
| 2015-16 | Hamline | D3 | MIAC | SO | 25 | 3 | 5 | 8 | 0.320 |
| 2014-15 | Hamline | D3 | — | FR | 18 | 7 | 7 | 14 | 0.778 |
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.