Kansas City Royals Winless in 5 as Slump Continues. Meanwhile, Chicago White Sox Secures 3rd Straight: The Streak Continues.
Tue, Sep 22, 2026 23:40 (UTC)
Last 10 games
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Away team Side
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Kansas City Royals (Fact Index 2.63):
Expected Win % is 38%, compared to a 37% actual win rate for identical index values.
Nevertheless, they maintain an actual win rate of 37% in this event.
Chicago White Sox (Fact Index 1.61):
Expected Win % is 62%, compared to a 63% actual win rate for identical index values.
However, they are currently recording a 63% actual win rate in this tournament.
Kansas City Royals:
T : 0.429 (0.434 / ▼0.005)
H : 0.520 (0.505 / ▲0.015)
A : 0.346 (0.362 / ▼0.016)
P : 0.167 (0.362 / ▼0.195)
Chicago White Sox:
T : 0.513 (0.527 / ▼0.014)
H : 0.590 (0.590 / -)
A : 0.436 (0.466 / ▼0.030)
P : 0.500 (0.563 / ▼0.063)
* Note Abbr. : Season Win% ( Expected Win% / Season W% - Expected Win%)
** Abbr. T: Season, H: Home, A: Away, P: Power Ranking (Last 6)
Results of the same FACT INDEX : 30 Game(s) In real-time
The Favorite vs Underdog of the same FACT INDEX : 30 Game(s) in Average Odds
Results of the same FACT INDEX : 30 Game(s) In real-time
The Favorite vs Underdog of the same FACT INDEX : 30 Game(s) in Average Odds
Model B is an experimental predictive simulation.
Current: ver. B.4 / Data Completion Rate : 100%
Since baseball involves two- or three-game series, this prediction could be for the whole series.
Fact Index - Prediction Variance
Data Source: Oddsportal
Please feel free to research player deployments or other detailed matters on your own; a brief search will yield a wealth of information.
Fact Index - Average Odds Variance
Odds Trend: 30 game(s)
Based on Away team = 1.8 (52%) Trend: 30 game(s)
Odds Trend: 30 game(s)
Based on Away team = 1.8 (52%) Trend: 30 game(s)
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MLB 2026-10-11 Cleveland Guardians 2 - 0 Chicago White Sox
MLB 2026-10-09 Chicago White Sox 5 - 9 Cleveland Guardians
MLB 2026-10-07 Chicago White Sox 3 - 9 Cleveland Guardians
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WaveFlow Sports Lab's FactIndex and metrics are built on real-time match data. But remember, we do not account for starting lineups, injuries, player absences, or weather. Since we track data by specific years and leagues, you might find less data at the beginning of a season. Please use this guide as a supporting tool for your predictions—after all, anything can happen in sports!
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Disclaimer: Metrics are based on historical match data but exclude lineups, injuries, and weather. Data may be limited early in the season. All content is for reference only. In sports, the outcome is always unpredictable.
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