| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Cornwall Colts | CCHL | 5 | 1 | 2 | 3 | 0.600 | 0.1301 | 0.1482 | 0.4642 | 0.5286 |
| 2009-10 | Cornwall Colts | CCHL | 61 | 23 | 46 | 69 | 1.131 | 0.2453 | 0.2680 | 0.8751 | 0.9562 |
| 2010-11 | Cornwall Colts | CCHL | 56 | 37 | 61 | 98 | 1.750 | 0.3796 | 0.3960 | 1.3540 | 1.4125 |
| 2011-12 | Cornwall Colts | CCHL | 47 | 35 | 46 | 81 | 1.723 | 0.3738 | 0.3708 | 1.3334 | 1.3227 |
| 2017-18 | Örebro HK | SHL | 52 | 10 | 8 | 18 | 0.346 | 0.8655 | 0.9168 | 4.5174 | 4.7853 |
| 2018-19 | Örebro HK | SHL | 29 | 2 | 0 | 2 | 0.069 | 0.1725 | 0.1742 | 0.9004 | 0.9091 |
| 2019-20 | Ässät | Liiga | 50 | 16 | 19 | 35 | 0.700 | 1.7500 | 1.7500 | 6.0173 | 6.0173 |
| 2020-21 | Schwenninger Wild Wings | DEL | 36 | 12 | 9 | 21 | 0.583 | 1.4583 | 1.4583 | 4.9453 | 4.9453 |
| 2021-22 | Schwenninger Wild Wings | DEL | 45 | 13 | 19 | 32 | 0.711 | 1.7777 | 1.7170 | 6.0288 | 5.8231 |
| 2022-23 | Schwenninger Wild Wings | DEL | 54 | 31 | 19 | 50 | 0.926 | 2.3148 | 2.1678 | 7.8500 | 7.3514 |
| 2023-24 | Schwenninger Wild Wings | DEL | 30 | 7 | 8 | 15 | 0.500 | 1.2500 | 1.1064 | 4.2391 | 3.7522 |
| 2024-25 | Schwenninger Wild Wings | DEL | 52 | 23 | 25 | 48 | 0.923 | 2.3077 | 1.9366 | 7.8262 | 6.5678 |
| 2025-26 | Schwenninger Wild Wings | DEL | 48 | 17 | 14 | 31 | 0.646 | 1.6145 | 1.4305 | 5.4752 | 4.8514 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Colgate | D1 | ECAC | SR | 37 | 14 | 23 | 37 | 1.000 |
| 2014-15 | Colgate | D1 | ECAC | JR | 37 | 14 | 17 | 31 | 0.838 |
| 2013-14 | Colgate | D1 | ECAC | SO | 39 | 10 | 23 | 33 | 0.846 |
| 2012-13 | Colgate | D1 | ECAC | FR | 35 | 7 | 20 | 27 | 0.771 |
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.