icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Tampa Bay Lightning
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Warroad | USHS-MN | 28 | 30 | 42 | 72 | 2.571 | 0.6922 | 0.6922 | 0.6246 | 0.6246 |
| 2020-21 | Warroad | USHS-MN | 20 | 24 | 30 | 54 | 2.700 | 0.7268 | 0.7268 | 0.6558 | 0.6558 |
| 2021-22 | — | USHL | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | USHL | 27 | 3 | 13 | 16 | 0.593 | 0.3643 | 0.3813 | 1.7459 | 1.8272 |
| 2023-24 | Green Bay Gamblers | USHL | 62 | 15 | 40 | 55 | 0.887 | 0.5453 | 0.5436 | 2.6136 | 2.6054 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota Duluth | D1 | NCHC | SO | 40 | 11 | 32 | 43 | 1.075 |
| 2024-25 | Minnesota | D1 | BigTen | — | 36 | 12 | 14 | 26 | 0.722 |
| 2024-25 | Minnesota Duluth | D1 | NCHC | — | 36 | 12 | 14 | 26 | 0.722 |
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.