| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Buffalo Jr. Sabres | OJHL | 21 | 2 | 2 | 4 | 0.191 | 0.0572 | 0.0607 | — | — |
| 2015-16 | Corpus Christi IceRays | NAHL | 60 | 5 | 13 | 18 | 0.300 | 0.1189 | 0.1237 | 0.3150 | 0.3276 |
| 2016-17 | Green Bay Gamblers | USHL | 44 | 2 | 2 | 4 | 0.091 | 0.0559 | 0.0534 | 0.2678 | 0.2557 |
| 2017-18 | Green Bay Gamblers | USHL | 59 | 1 | 6 | 7 | 0.119 | 0.0729 | 0.0660 | 0.3494 | 0.3162 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | CCHA | — | 26 | 6 | 8 | 14 | 0.538 |
| 2023-24 | Bowling Green | D1 | CCHA | — | 20 | 2 | 5 | 7 | 0.350 |
| 2021-22 | Mercyhurst | D1 | AHA | SR | 35 | 0 | 4 | 4 | 0.114 |
| 2020-21 | Mercyhurst | D1 | AHA | JR | 21 | 5 | 3 | 8 | 0.381 |
| 2019-20 | Mercyhurst | D1 | AHA | SO | 23 | 0 | 2 | 2 | 0.087 |
| 2018-19 | Mercyhurst | D1 | AHA | FR | 37 | 3 | 4 | 7 | 0.189 |
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.