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 | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2005-06 | U.S. National U17 Team | NTDP-U18 | 19 | 8 | 15 | 23 | 1.210 | 0.9386 | 0.9473 | 4.5054 | 4.5471 |
| 2006-07 | U.S. National U18 Team | NTDP-U18 | 32 | 6 | 14 | 20 | 0.625 | 0.4846 | 0.4708 | 2.3262 | 2.2599 |
| 2016-17 | Kärpät | Liiga | 42 | 12 | 12 | 24 | 0.571 | 1.4285 | 1.3246 | — | — |
| 2018-19 | Grizzlys Wolfsburg | DEL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Ohio State | D1 | CCHA-orig | SR | 37 | 12 | 22 | 34 | 0.919 |
| 2009-10 | Ohio State | D1 | — | JR | 39 | 6 | 24 | 30 | 0.769 |
| 2008-09 | Ohio State | D1 | — | SO | 42 | 11 | 28 | 39 | 0.929 |
| 2007-08 | Ohio State | D1 | — | FR | 41 | 4 | 17 | 21 | 0.512 |
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.