| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Breezy Point North Stars | NA3HL | 22 | 5 | 4 | 9 | 0.409 | 0.0452 | 0.0452 | 0.1292 | 0.1291 |
| 2013-14 | — | NA3HL | 24 | 7 | 4 | 11 | 0.458 | 0.0507 | 0.0487 | 0.1447 | 0.1390 |
| 2014-15 | New Ulm Steel | NA3HL | 35 | 10 | 16 | 26 | 0.743 | 0.0822 | 0.0749 | 0.2345 | 0.2137 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Wisconsin-Stout | D3 | BigTen | FR | 8 | 1 | 1 | 2 | 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.