icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Toronto Maple Leafs
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | U.S. National U17 Team | NTDP-U18 | 64 | 11 | 17 | 28 | 0.438 | 0.3252 | 0.3313 | 1.6325 | 1.6632 |
| 2008-09 | U.S. National U18 Team | NTDP-U18 | 53 | 23 | 33 | 56 | 1.057 | 0.7854 | 0.7580 | 3.9426 | 3.8050 |
| 2010-11 | Kitchener Rangers | OHL | 21 | 12 | 16 | 28 | 1.333 | 0.7713 | 0.7240 | 3.4259 | 3.2160 |
| 2016-17 | Ilves | Liiga | 48 | 13 | 20 | 33 | 0.688 | 1.7188 | 1.7729 | 5.9098 | 6.0957 |
| 2017-18 | KalPa | Liiga | 38 | 6 | 11 | 17 | 0.447 | 1.1185 | 1.0768 | 3.8459 | 3.7023 |
| 2018-19 | ERC Ingolstadt | DEL | 52 | 18 | 25 | 43 | 0.827 | 2.0673 | 2.1750 | 7.0106 | 7.3760 |
| 2019-20 | ERC Ingolstadt | DEL | 41 | 9 | 13 | 22 | 0.537 | 1.3415 | 1.3415 | 4.5494 | 4.5494 |
| 2021-22 | Düsseldorfer EG | DEL | 46 | 7 | 12 | 19 | 0.413 | 1.0325 | 0.9010 | 3.5015 | 3.0555 |
| 2022-23 | Löwen Frankfurt | DEL | 38 | 4 | 10 | 14 | 0.368 | 0.9210 | 0.7766 | 3.1234 | 2.6338 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | RPI | D1 | ECAC | FR | 35 | 10 | 24 | 34 | 0.971 |
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.