icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Cleveland Barons | NAHL | 54 | 14 | 23 | 37 | 0.685 | 0.2715 | 0.3077 | 0.7194 | 0.8153 |
| 2005-06 | Cleveland Barons | NAHL | 57 | 31 | 51 | 82 | 1.439 | 0.5700 | 0.6177 | 9.3048 | 9.1397 |
| 2006-07 | Lincoln Stars | USHL | 56 | 23 | 48 | 71 | 1.268 | 0.7794 | 0.7925 | 3.7355 | 3.7981 |
| 2020-21 | Leksands IF | SHL | 46 | 14 | 32 | 46 | 1.000 | 2.5000 | 2.5000 | — | — |
| 2021-22 | Leksands IF | SHL | 50 | 11 | 37 | 48 | 0.960 | 2.4000 | 1.5879 | — | — |
| 2022-23 | Leksands IF | SHL | 41 | 13 | 14 | 27 | 0.658 | 1.6462 | 1.0503 | — | — |
| 2023-24 | Tappara | Liiga | 60 | 17 | 31 | 48 | 0.800 | 2.0000 | 1.0930 | — | — |
| 2024-25 | IK Oskarshamn | Allsvenskan | 35 | 4 | 15 | 19 | 0.543 | 1.3573 | 0.6786 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Miami | D1 | CCHA-orig | SR | 39 | 19 | 38 | 57 | 1.462 |
| 2009-10 | Miami | D1 | — | JR | 44 | 15 | 28 | 43 | 0.977 |
| 2008-09 | Miami | D1 | — | SO | 40 | 20 | 22 | 42 | 1.050 |
| 2007-08 | Miami | D1 | — | FR | 33 | 15 | 26 | 41 | 1.242 |
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.