| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Chicago Steel | USHL | 46 | 8 | 10 | 18 | 0.391 | 0.2308 | 0.2264 | 1.1742 | 1.1520 |
| 2018-19 | Fischtown Pinguins | DEL | 43 | 3 | 11 | 14 | 0.326 | 0.8140 | 0.7624 | 2.7599 | 2.5848 |
| 2019-20 | Fischtown Pinguins | DEL | 33 | 2 | 2 | 4 | 0.121 | 0.3030 | 0.3030 | 1.0273 | 1.0273 |
| 2020-21 | Schwenninger Wild Wings | DEL | 35 | 0 | 5 | 5 | 0.143 | 0.3573 | 0.3573 | 1.2113 | 1.2113 |
| 2021-22 | Schwenninger Wild Wings | DEL | 46 | 1 | 4 | 5 | 0.109 | 0.2717 | 0.2057 | 0.9214 | 0.6976 |
| 2022-23 | Schwenninger Wild Wings | DEL | 49 | 1 | 4 | 5 | 0.102 | 0.2550 | 0.1856 | 0.8646 | 0.6292 |
| 2023-24 | Schwenninger Wild Wings | DEL | 46 | 2 | 2 | 4 | 0.087 | 0.2175 | 0.1471 | 0.7374 | 0.4988 |
| 2024-25 | Schwenninger Wild Wings | DEL | 48 | 1 | 2 | 3 | 0.062 | 0.1562 | 0.0985 | 0.5298 | 0.3340 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Miami | D1 | CCHA-orig | SR | 40 | 0 | 4 | 4 | 0.100 |
| 2010-11 | Miami | D1 | CCHA-orig | JR | 33 | 1 | 10 | 11 | 0.333 |
| 2009-10 | Miami | D1 | NCHC | SO | 43 | 1 | 9 | 10 | 0.233 |
| 2008-09 | Miami | D1 | NCHC | FR | 38 | 3 | 2 | 5 | 0.132 |
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.