| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Regina Pats | WHL | 69 | 10 | 34 | 44 | 0.638 | 0.3102 | 0.2961 | 1.5647 | 1.4936 |
| 2014-15 | Dynamo Moskva | KHL | 15 | 0 | 1 | 1 | 0.067 | 0.1667 | 0.2243 | 0.9190 | 1.2365 |
| 2015-16 | Dynamo Moskva | KHL | 11 | 0 | 1 | 1 | 0.091 | 0.2272 | 0.2904 | 1.2525 | 1.6008 |
| 2016-17 | Lada Togliatti | KHL | 42 | 0 | 8 | 8 | 0.191 | 0.4763 | 0.5888 | 2.6248 | 3.2450 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | UMass Lowell | D1 | HockeyEast | — | 13 | 2 | 0 | 2 | 0.154 |
| 2011-12 | UMass Lowell | D1 | HockeyEast | — | 0 | 0 | 0 | 0 | 0.000 |
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.