icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Tampa Bay Lightning
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Madison Capitols | USHL | 41 | 24 | 13 | 90.5% | 2.34 | 3 | 0.9983 | 87.5% |
| 2024-25 | Madison Capitols | USHL | 39 | 25 | 10 | 89.6% | 2.85 | 2 | 0.9983 | 89.8% |
| 2023-24 | — | NTDP-U18 | 4 | 1 | 0 | 89.7% | 3.90 | 0 | 0.9200 | 81.3% |
| 2023-24 | Sioux Falls Stampede | USHL | 19 | 6 | 10 | 85.0% | 4.32 | 0 | 0.9983 | 88.4% |
| 2022-23 | — | USHL | 9 | 5 | 2 | 90.8% | 2.92 | 0 | 0.9983 | 97.0% |
Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D1.
| Name | Junior League | Junior SV% | Adj SVe | College | NCAA SV% | NCAA GAA |
|---|---|---|---|---|---|---|
| Jack Stark | USHL | 90.0% | 87.0% | Yale | 91.9% | 2.22 |
| Cameron Whitehead | USHL | 90.4% | 87.3% | Northeastern | 91.7% | 2.62 |
| Nathan Krawchuk | OHL | 90.1% | 87.3% | RPI | 90.9% | 2.82 |
| Ryan Bischel | USHL | 90.5% | 87.8% | Notre Dame | 91.5% | 2.52 |
| Max Väyrynen | SM-Liiga-Jr | 91.2% | 86.5% | Michigan Tech | 90.3% | 2.32 |
Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D2/D3.
| Name | Junior League | Junior SV% | Adj SVe | College | Div | SV% | GAA |
|---|---|---|---|---|---|---|---|
| Jarret Bovarnick | EHL | 88.3% | 87.5% | Suffolk | D3 | 87.2% | 4.52 |
| Tyler Fromolz | NA3HL | 92.0% | 86.3% | Marian | D3 | 88.3% | 3.85 |
| Andrew Doran | NA3HL | 93.4% | 87.0% | Utica | D3 | 100.0% | — |
| Cameron Kuntar | NCDC | 89.3% | 89.1% | Chatham | D3 | 92.4% | 2.62 |
| Russ Decoste | USPHL-Premier | 93.1% | 88.5% | Westfield State | D3 | 93.3% | 2.38 |
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.