| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Milton Menace | OJHL | 46 | 17 | 14 | 31 | 0.674 | 0.2024 | 0.2080 | 0.4613 | 0.4741 |
| 2005-06 | Milton Menace | OJHL | 46 | 42 | 50 | 92 | 2.000 | 0.6008 | 0.5954 | 1.3690 | 1.3566 |
| 2014-15 | SaiPa | Liiga | 48 | 12 | 20 | 32 | 0.667 | 1.6667 | 1.5417 | — | — |
| 2015-16 | SaiPa | Liiga | 58 | 16 | 40 | 56 | 0.966 | 2.4138 | 2.1311 | — | — |
| 2021-22 | SaiPa | Liiga | 37 | 4 | 9 | 13 | 0.351 | 0.8785 | 0.4651 | — | — |
| 2022-23 | Kölner Haie | DEL | 56 | 21 | 17 | 38 | 0.679 | 0.7421 | 0.4758 | — | — |
| 2023-24 | Kölner Haie | DEL | 48 | 7 | 11 | 18 | 0.375 | 0.4101 | 0.2419 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Colgate | D1 | ECAC | SR | 35 | 11 | 28 | 39 | 1.114 |
| 2008-09 | Colgate | D1 | ECAC | JR | 37 | 21 | 22 | 43 | 1.162 |
| 2007-08 | Colgate | D1 | ECAC | SO | 39 | 15 | 17 | 32 | 0.821 |
| 2006-07 | Colgate | D1 | ECAC | FR | 40 | 9 | 8 | 17 | 0.425 |
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.