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Paxton Schultz is in a Fair spot, where output usually dips just below his norm. His Aligned nature keeps his results in line with that expectation.
In this Fair window, Paxton Schultz is projected to fall a bit short of his usual expected level. His Aligned profile keeps that outcome fairly steady.
| Level | G | W | L | SV | IP | H | R | ER | HR | BB | K | K/9IP | ERA | WHIP | BAA | Game Rating +/- |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Excellent | 2 | 0 | 0 | 0 | 3.2 | 3 | 1 | 1 | 0 | 1 | 5 | 12.3 | 2.45 | 1.09 | 0.231 | +20.31% |
| Good | 12 | 1 | 0 | 0 | 15.1 | 18 | 8 | 4 | 2 | 6 | 15 | 8.8 | 2.35 | 1.57 | 0.290 | +12.63% |
| Fair | 20 | 0 | 1 | 1 | 30.1 | 38 | 23 | 21 | 6 | 10 | 35 | 10.4 | 6.23 | 1.58 | 0.299 | -1.02% |
| Suboptimal | 6 | 0 | 1 | 0 | 7.2 | 11 | 10 | 9 | 1 | 3 | 5 | 5.9 | 10.57 | 1.83 | 0.333 | -20.80% |
| Season | G | W | L | SV | IP | H | R | ER | HR | BB | K | K/9IP | ERA | WHIP | BAA | Game Rating x̄ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 27 | 1 | 2 | 1 | 32.1 | 43 | 26 | 23 | 5 | 12 | 32 | 8.9 | 6.40 | 1.70 | 0.314 | 3.44 |
| 2025 | 13 | 0 | 0 | 0 | 24.2 | 27 | 16 | 12 | 4 | 8 | 28 | 10.2 | 4.38 | 1.42 | 0.276 | 3.62 |
|
Date
|
Opponent | Decision | IP | H | R | ER | HR | BB | K |
Composite
Score |
Output
Level |
TriSync
Projection |
Game
Rating |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jul 29, 2026 | TOR | 0.2 | 4 | 3 | 3 | 0 | 0 | 1 | Fair | 1.19 | |||
| Jul 27, 2026 | TOR | 1.0 | 0 | 0 | 0 | 0 | 1 | 0 | Suboptimal | 3.79 | |||
| Jun 23, 2026 | PHI | 0.1 | 3 | 2 | 2 | 0 | 1 | 1 | Fair | 1.82 | |||
| Jun 21, 2026 | @TB | 1.0 | 1 | 0 | 0 | 0 | 0 | 0 | Fair | 3.93 | |||
| Jun 17, 2026 | KC | 1.0 | 1 | 0 | 0 | 0 | 0 | 1 | Good | 4.22 | |||
| Jun 16, 2026 | KC | W | 1.0 | 1 | 0 | 0 | 0 | 0 | 1 | Good | 4.81 | ||
| Jun 12, 2026 | SEA | 2.0 | 3 | 1 | 1 | 1 | 0 | 1 | Fair | 3.26 | |||
| Jun 10, 2026 | @SF | 1.0 | 4 | 5 | 5 | 2 | 3 | 1 | Fair | -1.12 | |||
| Jun 5, 2026 | @AZ | 2.0 | 2 | 0 | 0 | 0 | 0 | 2 | Fair | 4.57 | |||
| Jun 3, 2026 | MIA | 0.1 | 0 | 0 | 0 | 0 | 1 | 0 | Fair | 3.66 | |||
| Jun 1, 2026 | MIA | 2.1 | 0 | 0 | 0 | 0 | 0 | 2 | Fair | 4.93 | |||
| May 29, 2026 | SD | 1.0 | 2 | 1 | 1 | 0 | 1 | 1 | Excellent | 2.92 | |||
| May 22, 2026 | @ATL | L | 0.2 | 1 | 1 | 0 | 0 | 0 | 1 | Fair | 4.15 | ||
| May 18, 2026 | NYM | L | 0.1 | 5 | 7 | 6 | 0 | 1 | 0 | Suboptimal | -1.86 | ||
| May 17, 2026 | BAL | 1.0 | 2 | 1 | 1 | 0 | 0 | 2 | Fair | 3.50 | |||
| May 16, 2026 | BAL | 1.0 | 0 | 0 | 0 | 0 | 1 | 2 | Fair | 4.37 | |||
| May 12, 2026 | @CIN | 2.0 | 2 | 0 | 0 | 0 | 1 | 3 | Good | 4.57 | |||
| May 10, 2026 | @MIA | 0.2 | 0 | 0 | 0 | 0 | 0 | 1 | Good | 4.30 | |||
| May 5, 2026 | MIN | 2.0 | 0 | 0 | 0 | 0 | 1 | 1 | Suboptimal | 4.27 | |||
| May 1, 2026 | MIL | 1.0 | 1 | 0 | 0 | 0 | 0 | 1 | Fair | 4.22 | |||
| Apr 29, 2026 | @NYM | 1.0 | 2 | 0 | 0 | 0 | 0 | 1 | Good | 4.08 | |||
| Apr 26, 2026 | @CWS | SV | 1.0 | 1 | 1 | 0 | 0 | 0 | 2 | Fair | 5.11 | ||
| Apr 17, 2026 | SF | 3.0 | 2 | 1 | 1 | 1 | 0 | 1 | Suboptimal | 3.59 | |||
| Apr 16, 2026 | @PIT | 0.1 | 2 | 2 | 2 | 0 | 0 | 0 | Suboptimal | 1.96 | |||
| Apr 13, 2026 | @PIT | 2.2 | 2 | 1 | 1 | 1 | 0 | 4 | Fair | 4.40 | |||
| Apr 10, 2026 | @MIL | 1.0 | 1 | 0 | 0 | 0 | 0 | 1 | Good | 4.22 | |||
| Apr 7, 2026 | STL | 1.0 | 1 | 0 | 0 | 0 | 1 | 1 | Fair | 3.93 | |||
| Aug 24, 2025 | @MIA | 1.0 | 1 | 0 | 0 | 0 | 0 | 1 | Fair | 4.22 | |||
| Jun 28, 2025 | @BOS | 1.1 | 5 | 3 | 3 | 1 | 1 | 1 | Good | 0.91 | |||
| Jun 27, 2025 | @BOS | 1.0 | 0 | 0 | 0 | 0 | 0 | 0 | Good | 4.08 | |||
| Jun 24, 2025 | @CLE | 1.0 | 1 | 1 | 1 | 0 | 2 | 1 | Good | 2.78 | |||
| Jun 19, 2025 | AZ | 2.2 | 2 | 2 | 2 | 0 | 1 | 1 | Fair | 2.39 | |||
| Jun 6, 2025 | @MIN | 2.0 | 4 | 3 | 3 | 1 | 0 | 1 | Fair | 1.44 | |||
| Jun 3, 2025 | PHI | 1.1 | 2 | 0 | 0 | 0 | 1 | 3 | Good | 4.44 | |||
| May 25, 2025 | @TB | 3.0 | 3 | 4 | 0 | 1 | 1 | 2 | Good | 4.32 | |||
| Apr 27, 2025 | @NYY | 2.1 | 4 | 3 | 3 | 1 | 2 | 3 | Fair | 1.50 |
A Good TriSync window supports a disciplined and dependable level of performance. Because Paxton Schultz is Aligned, that incremental advantage is more likely to show up on the field, with results that track closely to the estimate.