| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Des Moines Buccaneers | USHL | 38 | 1 | 6 | 7 | 0.184 | 0.1173 | 0.1225 | 0.5520 | 0.5763 |
| 2013-14 | — | USHL | 33 | 1 | 1 | 2 | 0.061 | 0.0386 | 0.0385 | 0.1816 | 0.1811 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Ferris State | D1 | WCHA | SR | 30 | 1 | 5 | 6 | 0.200 |
| 2016-17 | Ferris State | D1 | WCHA | JR | 37 | 0 | 2 | 2 | 0.054 |
| 2015-16 | Ferris State | D1 | WCHA | SO | 37 | 0 | 8 | 8 | 0.216 |
| 2014-15 | Ferris State | D1 | WCHA | FR | 9 | 1 | 0 | 1 | 0.111 |
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.