| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 54 | 2 | 17 | 19 | 0.352 | 0.2241 | 0.2244 | 1.0545 | 1.0559 |
| 2012-13 | Sioux City Musketeers | USHL | 34 | 3 | 5 | 8 | 0.235 | 0.1498 | 0.1420 | 0.7051 | 0.6685 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | NCHC | SR | 41 | 1 | 8 | 9 | 0.220 |
| 2015-16 | Minnesota Duluth | D1 | NCHC | JR | 17 | 1 | 1 | 2 | 0.118 |
| 2014-15 | Minnesota Duluth | D1 | NCHC | SO | 14 | 1 | 0 | 1 | 0.071 |
| 2013-14 | Minnesota Duluth | D1 | NCHC | FR | 17 | 0 | 3 | 3 | 0.176 |
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.