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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | QMJHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | QMJHL | 47 | 1 | 4 | 5 | 0.106 | 0.0523 | 0.0563 | 0.2841 | 0.3058 |
| 2023-24 | Drummondville Voltigeurs | QMJHL | 52 | 4 | 10 | 14 | 0.269 | 0.1323 | 0.1359 | 0.7188 | 0.7382 |
| 2024-25 | Drummondville Voltigeurs | QMJHL | 60 | 8 | 24 | 32 | 0.533 | 0.2620 | 0.2562 | 1.4241 | 1.3926 |
| 2025-26 | Victoriaville Tigres | QMJHL | 54 | 2 | 24 | 26 | 0.481 | 0.2366 | 0.2202 | 1.2857 | 1.1965 |
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.