icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Ottawa Senators
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Fairbanks Ice Dogs | NAHL | 39 | 5 | 11 | 16 | 0.410 | 0.1507 | 0.1631 | 0.4331 | 0.4686 |
| 2014-15 | Fairbanks Ice Dogs | NAHL | 46 | 15 | 21 | 36 | 0.783 | 0.2875 | 0.2960 | 0.8260 | 0.8505 |
| 2015-16 | Fairbanks Ice Dogs | NAHL | 60 | 38 | 57 | 95 | 1.583 | 0.5817 | 0.5732 | 1.6712 | 1.6468 |
| 2024-25 | Mora IK | Allsvenskan | 36 | 9 | 11 | 20 | 0.556 | 1.3890 | 1.1693 | 5.2126 | 4.3881 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnesota State | D1 | WCHA | SR | 25 | 5 | 9 | 14 | 0.560 |
| 2019-20 | RPI | D1 | ECAC | SR | 32 | 14 | 6 | 20 | 0.625 |
| 2019-20 | Rensselaer | D1 | — | SR | 32 | 14 | 6 | 20 | 0.625 |
| 2018-19 | RPI | D1 | ECAC | JR | 36 | 7 | 9 | 16 | 0.444 |
| 2018-19 | Rensselaer | D1 | — | JR | 36 | 7 | 9 | 16 | 0.444 |
| 2017-18 | RPI | D1 | ECAC | SO | 34 | 1 | 11 | 12 | 0.353 |
| 2016-17 | RPI | D1 | ECAC | — | 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.