| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Youngstown Phantoms | USHL | 51 | 17 | 17 | 34 | 0.667 | 0.4246 | 0.4266 | 1.9979 | 2.0074 |
| 2012-13 | Youngstown Phantoms | USHL | 64 | 37 | 26 | 63 | 0.984 | 0.6269 | 0.5965 | 2.9500 | 2.8071 |
| 2023-24 | Dinamo Minsk | KHL | 60 | 21 | 25 | 46 | 0.767 | — | — | — | — |
| 2024-25 | Dinamo Minsk | KHL | 66 | 19 | 27 | 46 | 0.697 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Quinnipiac | D1 | ECAC | JR | 43 | 24 | 26 | 50 | 1.163 |
| 2014-15 | Quinnipiac | D1 | ECAC | SO | 38 | 23 | 16 | 39 | 1.026 |
| 2013-14 | Quinnipiac | D1 | ECAC | FR | 40 | 22 | 21 | 43 | 1.075 |
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.