icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Minnesota Wild
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Waterloo Black Hawks | USHL | 62 | 26 | 32 | 58 | 0.935 | 0.5519 | 0.5847 | 2.7562 | 2.9199 |
| 2022-23 | Torpedo Nizhny Novgorod | KHL | 47 | 11 | 15 | 26 | 0.553 | 1.3830 | 1.7358 | — | — |
| 2023-24 | Torpedo Nizhny Novgorod | KHL | 67 | 17 | 18 | 35 | 0.522 | 1.3060 | 1.5662 | — | — |
| 2024-25 | Torpedo Nizhny Novgorod | KHL | 61 | 13 | 17 | 30 | 0.492 | 1.2295 | 1.4381 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | UConn | D1 | HockeyEast | JR | 35 | 12 | 11 | 23 | 0.657 |
| 2020-21 | UConn | D1 | HockeyEast | SO | 13 | 3 | 9 | 12 | 0.923 |
| 2019-20 | UConn | D1 | HockeyEast | FR | 34 | 11 | 12 | 23 | 0.676 |
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.