icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Notre Dame Hounds | SJHL | 58 | 20 | 27 | 47 | 0.810 | 0.2468 | 0.2746 | 0.6005 | 0.6682 |
| 2003-04 | Notre Dame Hounds | SJHL | 55 | 20 | 44 | 64 | 1.164 | 0.3544 | 0.3774 | 0.8623 | 0.9183 |
| 2015-16 | Linköping HC | SHL | 52 | 18 | 26 | 44 | 0.846 | 2.1155 | 1.6870 | — | — |
| 2016-17 | Linköping HC | SHL | 50 | 8 | 16 | 24 | 0.480 | 1.2000 | 0.8865 | — | — |
| 2017-18 | Linköping HC | SHL | 47 | 16 | 10 | 26 | 0.553 | 1.3830 | 0.9775 | — | — |
| 2018-19 | Linköping HC | SHL | 47 | 10 | 17 | 27 | 0.575 | 1.4363 | 0.9438 | — | — |
| 2019-20 | Linköping HC | SHL | 28 | 8 | 11 | 19 | 0.679 | 1.6965 | 1.6965 | — | — |
| 2020-21 | Linköping HC | SHL | 37 | 5 | 7 | 12 | 0.324 | 0.8107 | 0.8107 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | St. Cloud State | D1 | — | JR | 40 | 22 | 23 | 45 | 1.125 |
| 2005-06 | St. Cloud State | D1 | — | SO | 42 | 20 | 20 | 40 | 0.952 |
| 2004-05 | St. Cloud State | D1 | — | FR | 38 | 9 | 8 | 17 | 0.447 |
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.