| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Dayton Falcons | NA3HL | 45 | 4 | 8 | 12 | 0.267 | 0.0321 | 0.0343 | 0.0843 | 0.0901 |
| 2016-17 | Dayton Falcons | NA3HL | 47 | 14 | 18 | 32 | 0.681 | 0.0820 | 0.0835 | 0.2151 | 0.2191 |
| 2017-18 | Jersey Hitmen | USPHL-Premier | 42 | 13 | 17 | 30 | 0.714 | 0.0961 | 0.0936 | 0.2431 | 0.2368 |
| 2018-19 | Seahawks Hockey | EHL | 46 | 21 | 29 | 50 | 1.087 | 0.2333 | 0.2196 | 0.5323 | 0.5010 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Cortland | D3 | SUNYAC | SR | 23 | 5 | 7 | 12 | 0.522 |
| 2021-22 | SUNY Cortland | D3 | SUNYAC | JR | 25 | 4 | 3 | 7 | 0.280 |
| 2019-20 | SUNY Cortland | D3 | — | FR | 15 | 2 | 4 | 6 | 0.400 |
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.