Kyle is in the Developing tier, where his cycle-performance relationship is still forming. Younger players fall into this category while building steadiness. The ratings are useful, but variability is higher, especially early on.
PI=0 PIVS=3.36
Hurt has a Developing profile, meaning his cycle-performance association is emerging but hasn’t fully stabilized. This most often applies to younger players who are still maturing physically or establishing consistent routines. The ratings can be useful, but carry more variability, especially with the small amount of games played.
PI=0 PIVS=2.63
| Level | G | W | L | SV | IP | H | R | ER | HR | BB | K | K/9IP | ERA | WHIP | BAA | Game Rating +/- |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fair | 4 | 0 | 1 | 0 | 7.2 | 7 | 3 | 2 | 0 | 1 | 9 | 10.6 | 2.35 | 1.04 | 0.241 | +0.03% |
| Suboptimal | 1 | 0 | 0 | 0 | 2.0 | 3 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.00 | 1.50 | 0.375 | -0.10% |
| Season | G | W | L | SV | IP | H | R | ER | HR | BB | K | K/9IP | ERA | WHIP | BAA | Game Rating x̄ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 1 | 0 | 0 | 0 | 1.0 | 2 | 1 | 1 | 0 | 0 | 3 | 27.0 | 9.00 | 2.00 | 0.400 | 3.79 |
| 2024 | 3 | 0 | 1 | 0 | 6.2 | 8 | 2 | 1 | 0 | 1 | 3 | 4.0 | 1.35 | 1.35 | 0.308 | 3.84 |
| 2023 | 1 | 0 | 0 | 0 | 2.0 | 0 | 0 | 0 | 0 | 0 | 3 | 13.5 | 0.00 | 0.00 | 0.000 | 5.16 |
| Date | Opponent | Decision | IP | H | R | ER | HR | BB | K | TriSync Rating | TriSync Level | Game Rating |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Apr 15, 2026 | NYM | 1.0 | 2 | 1 | 1 | 0 | 0 | 3 | Fair | 3.79 | ||
| Apr 16, 2024 | WSH | 2.0 | 3 | 0 | 0 | 0 | 0 | 0 | Suboptimal | 3.83 | ||
| Mar 30, 2024 | STL | L | 2.2 | 2 | 1 | 0 | 0 | 0 | 3 | Fair | 4.99 | |
| Mar 21, 2024 | SD | 2.0 | 3 | 1 | 1 | 0 | 1 | 0 | Fair | 2.69 | ||
| Sep 12, 2023 | SD | 2.0 | 0 | 0 | 0 | 0 | 0 | 3 | Fair | 5.16 |
Kyle Hurt falls into the Developing category, where reliability hasn’t fully locked in. Younger players show this as they refine their discipline and physical tools. The data can point you in the right direction, but it comes with a wider margin of error.
PI=0 PIVS=2.04