| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | — | OJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2010-11 | — | OJHL | 47 | 13 | 23 | 36 | 0.766 | 0.2301 | 0.2418 | 0.5243 | 0.5509 |
| 2011-12 | — | OJHL | 41 | 22 | 27 | 49 | 1.195 | 0.3590 | 0.3614 | 0.8180 | 0.8234 |
| 2012-13 | — | OJHL | 43 | 22 | 34 | 56 | 1.302 | 0.3912 | 0.3743 | 0.8914 | 0.8528 |
| 2018-19 | — | Liiga | 59 | 18 | 34 | 52 | 0.881 | 2.2035 | 2.2667 | — | — |
| 2019-20 | — | Liiga | 56 | 27 | 33 | 60 | 1.071 | 2.6785 | 2.6785 | — | — |
| 2020-21 | — | KHL | 58 | 23 | 32 | 55 | 0.948 | 2.3708 | 2.3708 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Sacred Heart | D1 | AHA | SR | 37 | 10 | 22 | 32 | 0.865 |
| 2015-16 | Sacred Heart | D1 | AHA | JR | 36 | 20 | 21 | 41 | 1.139 |
| 2014-15 | Sacred Heart | D1 | AHA | SO | 38 | 7 | 15 | 22 | 0.579 |
| 2013-14 | Sacred Heart | D1 | AHA | FR | 36 | 5 | 24 | 29 | 0.806 |
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.