| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Waterloo Black Hawks | USHL | 45 | 6 | 8 | 14 | 0.311 | 0.1981 | 0.1940 | 0.9323 | 0.9129 |
| 2013-14 | Waterloo Black Hawks | USHL | 58 | 5 | 8 | 13 | 0.224 | 0.1427 | 0.1331 | 0.6716 | 0.6262 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Alaska | D1 | WCHA | SR | 28 | 2 | 2 | 4 | 0.143 |
| 2016-17 | Alaska | D1 | WCHA | JR | 27 | 3 | 2 | 5 | 0.185 |
| 2015-16 | Alaska | D1 | WCHA | SO | 22 | 1 | 0 | 1 | 0.045 |
| 2014-15 | Alaska | D1 | WCHA | FR | 32 | 7 | 2 | 9 | 0.281 |
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.