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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Linköping HC U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Linköping HC U20 | SuperElit | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Linköping HC U20 | SHL-J20 | 45 | 4 | 14 | 18 | 0.400 | 0.2223 | 0.2214 | 0.5330 | 0.5310 |
| 2016-17 | Madison Capitols | USHL | 25 | 2 | 7 | 9 | 0.360 | 0.2124 | 0.2025 | 1.0812 | 1.0307 |
| 2019-20 | Mora IK | Allsvenskan | 16 | 1 | 2 | 3 | 0.188 | 0.4688 | 0.4688 | 1.7591 | 1.7591 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | UConn | D1 | HockeyEast | JR | 34 | 0 | 4 | 4 | 0.118 |
| 2017-18 | UConn | D1 | HockeyEast | SO | 20 | 2 | 1 | 3 | 0.150 |
| 2016-17 | UConn | D1 | HockeyEast | FR | 16 | 1 | 5 | 6 | 0.375 |
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.