Will José Ramírez lead Pro Baseball in steals for the 2026 regular season
Liquidity-weighted aggregate sits at 15% across 8 Kalshi contracts.
Implied probability
Kalshi
15%
8 contracts
Polymarket
—
not bound
Cross-venue gap
—
single venue
24h move
—
no pin
24h volume
$444
8 contracts
Closes
Oct 22, 2026
62 days
30-day trend
Bracket families
8 clusters across 8 contracts.
These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.
Cluster 1
Will Nasim Nuñez lead Pro Baseball in steals for the 2026 regular season
Will Nasim Nuñez lead Pro Baseball in steals for the 2026 regular season?: Nasim Nuñez
KXLEADERMLBSTEALS-26-NNUN
Cluster 2
Will Jazz Chisholm Jr. lead Pro Baseball in steals for the 2026 regular season
Cluster 3
Will Bobby Witt Jr. lead Pro Baseball in steals for the 2026 regular season
Cluster 4
Will Chandler Simpson lead Pro Baseball in steals for the 2026 regular season
Cluster 5
Will Byron Buxton lead Pro Baseball in steals for the 2026 regular season
Will Byron Buxton lead Pro Baseball in steals for the 2026 regular season?: Byron Buxton
KXLEADERMLBSTEALS-26-BBUX
Cluster 6
Will Fernando Tatis Jr. lead Pro Baseball in steals for the 2026 regular season
Cluster 7
Will Hyeseong Kim lead Pro Baseball in steals for the 2026 regular season
Will Hyeseong Kim lead Pro Baseball in steals for the 2026 regular season?: Hyeseong Kim
KXLEADERMLBSTEALS-26-HKIM
Cluster 8
Will José Caballero lead Pro Baseball in steals for the 2026 regular season
Will José Caballero lead Pro Baseball in steals for the 2026 regular season?: José Caballero
KXLEADERMLBSTEALS-26-JCAB
Analysis
This market assesses the likelihood that José Ramírez finishes the 2026 MLB regular season with the most stolen bases league-wide. At 20%, the probability reflects that Ramírez faces competition from faster, more aggressive base-stealers like Bobby Witt Jr. (26%), who has shown higher volume and success rates in recent seasons. Ramírez's stolen base total depends on his playing time, injury status, and the team's strategic approach to running. The main driver of this probability is comparative speed and aggressive baserunning tendencies among elite players; Witt Jr.'s market price suggests stronger consensus he'll lead the category. The probability will stabilize as the regular season progresses and actual steal totals emerge, with late-season performance and injuries being the primary sources of uncertainty. Ramírez would need both consistent playing time and elevated run-stealing attempts to surpass the field.
- ›Ramírez's career stolen base rate and 2025 performance relative to Bobby Witt Jr. and other top competitors in the category
- ›Team strategic philosophy: whether Cleveland emphasizes aggressive baserunning or a more conservative approach in 2026
- ›Playing time and injury risk for Ramírez compared to younger, faster competitors throughout the full 162-game season
- ›The concentration of stolen base leader probability among Bobby Witt Jr. (26%), Nasim Nuñez (45%), and others suggests no clear favorite dominates expectations
- ›Seasonal pace and competitive landscape: whether any elite basestealer emerges as statistically dominant early in the 2026 season
What moved the line
- Aug 21Bobby Witt Jr.↑8pp5→13¢ · Kalshi
- Aug 20Jazz Chisholm Jr.↓7pp12→5¢ · Kalshi
- Aug 17Jazz Chisholm Jr.↑5pp7→12¢ · Kalshi
- Aug 21Jazz Chisholm Jr.↑5pp5→10¢ · Kalshi
- Aug 15Chandler Simpson↑5pp12→17¢ · Kalshi
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These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.
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How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
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