icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Calgary Flames
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Green Bay Gamblers | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Arizona State | D1 | NCHC | GR | 37 | 7 | 11 | 18 | 0.486 |
| 2021-22 | Arizona State | D1 | — | SR | 23 | 4 | 7 | 11 | 0.478 |
| 2020-21 | Arizona State | D1 | — | JR | 22 | 4 | 6 | 10 | 0.455 |
| 2019-20 | Arizona State | D1 | — | SO | 25 | 3 | 5 | 8 | 0.320 |
| 2018-19 | Arizona State | D1 | — | FR | 35 | 4 | 16 | 20 | 0.571 |
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.