| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Coulee Region Chill | NAHL | 59 | 19 | 18 | 37 | 0.627 | 0.2328 | 0.2392 | 0.6640 | 0.6824 |
| 2013-14 | Lincoln Stars | USHL | 47 | 4 | 7 | 11 | 0.234 | 0.1490 | 0.1404 | 0.7012 | 0.6606 |
| 2014-15 | Langley Rivermen | BCHL | 58 | 11 | 19 | 30 | 0.517 | 0.2013 | 0.1852 | 0.7542 | 0.6940 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | D1 | BigTen | — | 34 | 7 | 13 | 20 | 0.588 |
| 2019-20 | Wisconsin-Stout | D3 | BigTen | SR | 12 | 4 | 1 | 5 | 0.417 |
| 2018-19 | Wisconsin-Stout | D3 | BigTen | JR | 22 | 2 | 11 | 13 | 0.591 |
| 2017-18 | Wisconsin-Stout | D3 | BigTen | SO | 23 | 5 | 7 | 12 | 0.522 |
| 2016-17 | Alabama-Huntsville | D1 | — | SO | 10 | 1 | 1 | 2 | 0.200 |
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.