icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | U.S. National U18 Team | NTDP-U18 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Torpedo Nizhny Novgorod | KHL | 46 | 20 | 20 | 40 | 0.870 | 2.1740 | 1.9100 | — | — |
| 2022-23 | Torpedo Nizhny Novgorod | KHL | 29 | 4 | 7 | 11 | 0.379 | 0.9483 | 0.7571 | — | — |
| 2023-24 | Düsseldorfer EG | DEL | 48 | 14 | 34 | 48 | 1.000 | 1.0936 | 0.9313 | — | — |
| 2024-25 | ERC Ingolstadt | DEL | 50 | 12 | 33 | 45 | 0.900 | 0.9842 | 0.7929 | — | — |
| 2025-26 | ERC Ingolstadt | DEL | 50 | 19 | 27 | 46 | 0.920 | 1.0061 | 0.8577 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Yale | D1 | ECAC | SR | 33 | 14 | 18 | 32 | 0.970 |
| 2012-13 | Yale | D1 | ECAC | JR | 37 | 17 | 24 | 41 | 1.108 |
| 2011-12 | Yale | D1 | ECAC | SO | 33 | 14 | 20 | 34 | 1.030 |
| 2010-11 | Yale | D1 | ECAC | FR | 31 | 11 | 14 | 25 | 0.806 |
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.