icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Couchiching Terriers | OJHL | 47 | 64 | 61 | 125 | 2.660 | 0.7989 | 0.7050 | 1.8205 | 1.6065 |
| 2010-11 | EHC München | DEL | 45 | 12 | 28 | 40 | 0.889 | 0.9721 | 0.8376 | — | — |
| 2013-14 | Bietigheim Steelers | DEL2 | 44 | 26 | 37 | 63 | 1.432 | 0.6177 | 0.4208 | — | — |
| 2014-15 | Bietigheim Steelers | DEL2 | 43 | 32 | 46 | 78 | 1.814 | 0.7826 | 0.5219 | — | — |
| 2015-16 | Bietigheim Steelers | DEL2 | 37 | 24 | 40 | 64 | 1.730 | 0.7462 | 0.4945 | — | — |
| 2016-17 | Bietigheim Steelers | DEL2 | 37 | 16 | 32 | 48 | 1.297 | 0.5597 | 0.3359 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Mercyhurst | D1 | AHA | SR | 36 | 19 | 21 | 40 | 1.111 |
| 2003-04 | Mercyhurst | D1 | AHA | JR | 34 | 18 | 18 | 36 | 1.059 |
| 2002-03 | Mercyhurst | D1 | — | SO | 35 | 17 | 24 | 41 | 1.171 |
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.