| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Tri-City Storm | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Tri-City Storm | USHL | 59 | 10 | 22 | 32 | 0.542 | 0.3200 | 0.3212 | 1.6290 | 1.6349 |
| 2014-15 | Tri-City Storm | USHL | 41 | 7 | 17 | 24 | 0.585 | 0.3453 | 0.3296 | 1.7582 | 1.6781 |
| 2015-16 | Tri-City Storm | USHL | 52 | 15 | 27 | 42 | 0.808 | 0.4765 | 0.4327 | 2.4258 | 2.2027 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Wisconsin | D1 | BigTen | JR | 4 | 0 | 1 | 1 | 0.250 |
| 2016-17 | Wisconsin | D1 | BigTen | SO | 15 | 0 | 4 | 4 | 0.267 |
| 2014-15 | Colorado College | D1 | NCHC | — | 2 | 0 | 0 | 0 | 0.000 |
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.