icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Hamilton Red Wings | OJHL | 11 | 1 | 0 | 1 | 0.091 | 0.0273 | 0.0287 | 0.0622 | 0.0655 |
| 2006-07 | Hamilton Red Wings | OJHL | 49 | 32 | 43 | 75 | 1.531 | 0.4598 | 0.4610 | 1.0477 | 1.0504 |
| 2007-08 | Hamilton Red Wings | OJHL | 48 | 42 | 41 | 83 | 1.729 | 0.5195 | 0.4974 | 1.1836 | 1.1331 |
| 2015-16 | Frölunda HC | SHL | 42 | 14 | 21 | 35 | 0.833 | 2.0833 | 1.9091 | — | — |
| 2018-19 | Mora IK | SHL | 42 | 7 | 29 | 36 | 0.857 | 2.1427 | 1.6629 | — | — |
| 2019-20 | Leksands IF | SHL | 33 | 7 | 14 | 21 | 0.636 | 1.5910 | 1.5910 | — | — |
| 2020-21 | Augsburger Panther | DEL | 32 | 9 | 18 | 27 | 0.844 | 0.9228 | 0.9228 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Maine | D1 | HockeyEast | SR | 39 | 21 | 41 | 62 | 1.590 |
| 2010-11 | Maine | D1 | HockeyEast | JR | 36 | 17 | 23 | 40 | 1.111 |
| 2009-10 | Maine | D1 | HockeyEast | SO | 38 | 9 | 19 | 28 | 0.737 |
| 2008-09 | Maine | D1 | HockeyEast | FR | 38 | 7 | 9 | 16 | 0.421 |
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.