icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Buffalo Sabres
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Springfield Jr. Pics | EJHL | 49 | 3 | 7 | 10 | 0.204 | 0.0605 | 0.0631 | — | — |
| 2003-04 | Springfield Jr. Pics | EJHL | 34 | 4 | 4 | 8 | 0.235 | 0.0697 | 0.0705 | — | — |
| 2004-05 | Springfield Jr. Pics | EJHL | 49 | 8 | 16 | 24 | 0.490 | 0.1451 | 0.1401 | — | — |
| 2011-12 | Lukko | Liiga | 57 | 3 | 10 | 13 | 0.228 | 0.5703 | 0.5630 | 1.9608 | 1.9357 |
| 2012-13 | Lukko | Liiga | 60 | 1 | 6 | 7 | 0.117 | 0.2918 | 0.2792 | 1.0032 | 0.9598 |
| 2013-14 | Lukko | Liiga | 52 | 1 | 6 | 7 | 0.135 | 0.3365 | 0.3096 | 1.1570 | 1.0646 |
| 2014-15 | — | Liiga | 56 | 4 | 4 | 8 | 0.143 | 0.3573 | 0.2991 | 1.2284 | 1.0285 |
| 2015-16 | HIFK | Liiga | 48 | 1 | 6 | 7 | 0.146 | 0.3645 | 0.2898 | 1.2533 | 0.9965 |
| 2016-17 | HIFK | Liiga | 34 | 1 | 7 | 8 | 0.235 | 0.5883 | 0.4363 | 2.0227 | 1.5001 |
| 2018-19 | Ilves | Liiga | 40 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | St. Lawrence | D1 | ECAC | SR | 35 | 8 | 9 | 17 | 0.486 |
| 2007-08 | St. Lawrence | D1 | ECAC | JR | 33 | 3 | 12 | 15 | 0.455 |
| 2006-07 | St. Lawrence | D1 | ECAC | SO | 37 | 3 | 6 | 9 | 0.243 |
| 2005-06 | St. Lawrence | D1 | ECAC | FR | 34 | 4 | 11 | 15 | 0.441 |
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.