SimpleFunctions
kalshiOutcome slate26 markets

Will the 1st half score be Draw 0-0

event base · KXWC1HSCORE

By SimpleFunctions· Last verified 29 Jun 2026Methodology
24h volume
$258.2K
Constituents
26
Distinct tenors
2
2w – 2w
Top P(YES)
34.0%
Draw 1H 0-0

Outcome probabilities

26 contracts at one resolution date

Analysis

The yield curve displays a notably flat structure across the two tenor buckets, with all markets clustering at either 15 or 16 days to resolution. Within this compressed timeframe, the curve shows minimal term differentiation, with the 15-day bucket (NEDMAR, CIVNOR) and 16-day bucket (FRASWE, MEXECU) exhibiting similar probability distributions. The cheapest YES probabilities across both tenors are concentrated in the tail outcomes, where markets price numerous contracts at 1.0% to 2.0%, particularly in higher-numbered outcome brackets (MAR2, MAR3, NOR2, NOR3, SWE2, ECU2, ECU3). The most liquid and highest-probability contracts cluster around 14.0% to 33.0%, with NEDMAR0 at 33.0% representing the single highest conviction outcome in the dataset. The flatness of this curve, combined with the concentration of probability mass in lower-numbered outcomes and the rapid decay into tail probabilities, suggests the market expects resolution to occur imminently within the 15-16 day window with high confidence in specific near-term scenarios. The absence of any meaningful term premium or steepening pattern indicates minimal uncertainty about timing—the market is not pricing in material probability of delayed resolution. Instead, the structure reflects a binary view where certain discrete outcomes (particularly NEDMAR0, CIVNOR0, and MEXECU0) command the bulk of conviction, while alternative scenarios are treated as increasingly unlikely tail risks. This suggests participants view the event outcome as largely determined or highly constrained by current conditions.

Generated 6/29/2026 · anthropic/claude-haiku-4.5

Constituent markets

26 kalshi contracts

MarketTenorP(YES)Vol 24h
Will the 1st half score be Draw 0-0?: Draw 1H 0-02w34.0%$1.0K
Will the 1st half score be Draw 0-0?: Draw 1H 0-02w32.0%$17.9K
Will the 1st half score be France wins 1-0?: France wins 1H 1-02w18.0%$10.5K
Will the 1st half score be Spain wins 1-0?: Spain wins 1H 1-02w15.0%$6.4K
Will the 1st half score be England wins 1-0?: England wins 1H 1-02w15.0%$1.9K
Will the 1st half score be Argentina wins 1-0?: Argentina wins 1H 1-02w13.0%$5.5K
Will the 1st half score be Draw 1-1?: Draw 1H 1-12w11.0%$48.4K
Will the 1st half score be Draw 1-1?: Draw 1H 1-12w9.0%$10.5K
Will the 1st half score be France wins 2-0?: France wins 1H 2-02w5.0%$8.8K
Will the 1st half score be Spain wins 2-0?: Spain wins 1H 2-02w4.0%$5.9K
Will the 1st half score be Argentina wins 3-1?: Argentina wins 1H 3-12w4.0%$65
Will the 1st half score be England wins 3-1?: England wins 1H 3-12w4.0%$65
Will the 1st half score be Spain wins 2-1?: Spain wins 1H 2-12w3.0%$9.1K
Will the 1st half score be Argentina wins 2-0?: Argentina wins 1H 2-02w3.0%$1.5K
Will the 1st half score be Argentina wins 3-0?: Argentina wins 1H 3-02w3.0%$30
Will the 1st half score be England wins 2-0?: England wins 1H 2-02w3.0%$650
Will the 1st half score be England wins 3-0?: England wins 1H 3-02w3.0%$30
Will the 1st half score be France wins 2-1?: France wins 1H 2-12w2.0%$46.2K
Will the 1st half score be France wins 3-0?: France wins 1H 3-02w2.0%$2.3K
Will the 1st half score be France wins 3-1?: France wins 1H 3-12w2.0%$18.9K
Will the 1st half score be Argentina wins 2-1?: Argentina wins 1H 2-12w2.0%$10.4K
Will the 1st half score be England wins 2-1?: England wins 1H 2-12w2.0%$198
Will the 1st half score be Draw 2-2?: Draw 1H 2-22w2.0%$31.3K
Will the 1st half score be Spain wins 3-0?: Spain wins 1H 3-02w1.0%$1.2K
Will the 1st half score be Spain wins 3-1?: Spain wins 1H 3-12w1.0%$1.0K
Will the 1st half score be Draw 2-2?: Draw 1H 2-22w1.0%$18.6K

How to read this page

An outcome slate is a set of mutually-exclusive contracts that all settle on the same date. Their YES probabilities form a distribution over which outcome the market expects. Probabilities should roughly sum to 100% minus the venue’s overround.

Curve construction: each constituent contract is identified by its venue event_id (KXWC1HSCORE on kalshi). Tenor is computed from the contract’s close_time minus snapshot time, rounded to days. We do not interpolate between tenors — every plotted point is a real, traded contract. Outcome-slate pages show price-as-probability for mutually-exclusive contracts; term-structure pages show price-as-probability vs days-to-resolution for the same underlying event.

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.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.

Last updated on this page: Mon, 29 Jun 2026 06:24:27 GMT.