Pittsburgh Pirates vs Kansas City Royals
Friday, September 18, 2026 · 22:40 UTC
Pittsburgh Pirates host Kansas City Royals in MLB on Friday, September 18, 2026, starting at 22:40 UTC. Here is how the two teams stack up — the head-to-head history, current form and the latest bookmaker odds — ahead of the BetEX AI verdict on this game.
Head-to-head record
These two sides have met 10 times in our head-to-head records, with 5 wins for Pittsburgh Pirates against 5 for Kansas City Royals. Historically this fixture could hardly be more even. Meetings between the two average 8.6 runs per game. Their most recent meetings on record: Pittsburgh Pirates 4-3 Kansas City Royals (2024-09-15); Pittsburgh Pirates 1-5 Kansas City Royals (2024-09-14); Pittsburgh Pirates 3-8 Kansas City Royals (2024-09-13).
| Date | Home | Score | Away |
|---|---|---|---|
| 2024-09-15 | Pittsburgh Pirates | 4-3 | Kansas City Royals |
| 2024-09-14 | Pittsburgh Pirates | 1-5 | Kansas City Royals |
| 2024-09-13 | Pittsburgh Pirates | 3-8 | Kansas City Royals |
| 2023-08-31 | Kansas City Royals | 1-4 | Pittsburgh Pirates |
| 2023-08-30 | Kansas City Royals | 3-6 | Pittsburgh Pirates |
Team statistics
Pittsburgh Pirates carry an Elo rating of 1511 in our model, and have won 80% of their recent games. Kansas City Royals carry an Elo rating of 1471 in our model, and have won 30% of their recent games.
Pittsburgh Pirates
| Recent form | WWWWLWWLWW |
|---|---|
| Win rate | 80% |
| Elo rating | 1511 |
| Avg scored (recent) | 4.5 |
| Avg conceded (recent) | 3.4 |
Kansas City Royals
| Recent form | WLLWLLWLLL |
|---|---|
| Win rate | 30% |
| Elo rating | 1471 |
| Avg scored (recent) | 4 |
| Avg conceded (recent) | 5.5 |
🤖 The BetEX AI verdict on Pittsburgh Pirates vs Kansas City Royals
Members see what our model ensemble makes of this game:
- AI pick & win probabilities for every outcome
- Model confidence score
- Key factors behind the call
- Value-bet detection against the market odds
How BetEX AI analyses this fixture
BetEX AI runs every fixture on this page through an ensemble of statistical models — Elo-style team ratings, scoring-rate (lambda) models and head-to-head history — refreshed daily from live competition data. The ensemble produces a win probability for each outcome, a confidence score, and flags games where the model's probability disagrees with the bookmaker line by enough to matter. Those outputs are reserved for members; everything above comes from the same underlying match data.
Predictions and statistics are for informational purposes only and are no guarantee of results. Please bet responsibly — never wager more than you can afford to lose. 18+ only.