SimpleFunctions

Markets · Series

NBA Team Point Total Markets — 33 contracts, SF signal on every row.

33 live Kalshi contracts (53 audited). Median implied probability sits at 36%. 44 contracts moved 5cents+ in the last 24h (biggest: KXNBATEAMTOTAL-26MAY24OKCSAS-SAS101 +29c). Refreshed every 5 minutes.

Fit: mean deviation 17.8pp · cheapest KXNBATEAMTOTAL-26MAY25NYKCLE-CLE120 · richest KXNBATEAMTOTAL-26MAY24OKCSAS-OKC100.

Analytics view (term structure, fitted hazard rate, per-bucket deviations): /yield-curves/KXNBATEAMTOTAL.

Series JSON twin
GET/api/public/markets/series/KXNBATEAMTOTAL
Term curve JSON
GET/api/public/yield-curves/KXNBATEAMTOTAL
›example response
{
  "scope": {
    "type": "series",
    "slug": "KXNBATEAMTOTAL",
    "label": "NBA Team Point Total Markets"
  },
  "live": {
    "contractCount": 33,
    "volume24hSum": 8913.79,
    "hasThesisCount": 0
  },
  "termFit": {
    "seriesType": "unknown",
    "hazardRate": 0.03556
  }
}
By SimpleFunctions· Last verified 24 May 2026Methodology
Disagreement≥100
Vol Flow$8.9K-76%
min $29max $48.9K
Breadth100%+31.6pp
min -56%max 100%
Activity—
warming up — first reading at 05:00 UTC
May 17past 6d · UTCMay 24 · 00:23

Live contracts

33

Median IY

36¢

implied prob (YES)

24h volume

$8.9K

Days to catalyst

none

no scheduled catalyst

SF thesis coverage

0

Top mover

+29¢

KXNBATEAMTOTAL-26MAY24OKCSAS-SAS101

NBA Team Point Total Markets — liquidity topography (top 16 of 33 markets)

X = time-to-resolution (log). Y = 24h volume (log). Color = annualized %. Range: 1006.9 → 32750.0%

$10$100$1,0001d7d32750.016878.41006.9

Hover for ticker detail; click to open the per-market page. full screener →

Top markets in NBA Team Point Total Markets

Showing top 20 of 33

Sortable on every numeric column. Every row carries the SF indicator stack — bounded for readability, raw value on hover.

Will Oklahoma City score over 100.5 points?: Oklahoma City over 100.5 points scored71¢
IY >999%Cliff 2Edge —RVol >999%Resid —$2.7K
Will Oklahoma City score over 109.5 points?: Oklahoma City over 109.5 points scored48¢
IY >999%Cliff 1Edge —RVol >999%Resid —$2.4K
Will San Antonio score over 110.5 points?: San Antonio over 110.5 points scored46¢
IY >999%Cliff 1Edge —RVol >999%Resid —$1.3K
Will Oklahoma City score over 106.5 points?: Oklahoma City over 106.5 points scored56¢
IY >999%Cliff 1Edge —RVol >999%Resid —$971
Will San Antonio score over 107.5 points?: San Antonio over 107.5 points scored59¢
IY >999%Cliff 1Edge —RVol >999%Resid —$329
Will San Antonio score over 104.5 points?: San Antonio over 104.5 points scored64¢
IY >999%Cliff 2Edge —RVol >999%Resid —$254
Will Oklahoma City score over 112.5 points?: Oklahoma City over 112.5 points scored31¢
IY >999%Cliff 2Edge —RVol >999%Resid —$238
Will Oklahoma City score over 121.5 points?: Oklahoma City over 121.5 points scored7¢
IY >999%Cliff 13Edge —RVol >999%Resid —$172
Will San Antonio score over 119.5 points?: San Antonio over 119.5 points scored16¢
IY >999%Cliff 5Edge —RVol >999%Resid —$166
Will Oklahoma City score over 103.5 points?: Oklahoma City over 103.5 points scored62¢
IY >999%Cliff 2Edge —RVol >999%Resid —$104
Will Oklahoma City score over 118.5 points?: Oklahoma City over 118.5 points scored17¢
IY >999%Cliff 5Edge —RVol >999%Resid —$100
Will San Antonio score over 113.5 points?: San Antonio over 113.5 points scored33¢
IY >999%Cliff 2Edge —RVol >999%Resid —$77
Will San Antonio score over 116.5 points?: San Antonio over 116.5 points scored25¢
IY >999%Cliff 3Edge —RVol >999%Resid —$34
Will San Antonio score over 101.5 points?: San Antonio over 101.5 points scored70¢
IY >999%Cliff 2Edge —RVol >999%Resid —$22
Will San Antonio score over 98.5 points?: San Antonio over 98.5 points scored55¢
IY >999%Cliff 1Edge —RVol >999%Resid —$4
Will Oklahoma City score over 115.5 points?: Oklahoma City over 115.5 points scored24¢
IY >999%Cliff 3Edge —RVol >999%Resid —$4
Will Oklahoma City score over 97.5 points?: Oklahoma City over 97.5 points scored54¢
IY >999%Cliff 1Edge —RVol >999%Resid —$0
Will Cleveland score over 102.5 points?: Cleveland over 102.5 points scored38¢
IY >999%Cliff 2Edge —RVol —Resid —$0
Will Cleveland score over 105.5 points?: Cleveland over 105.5 points scored36¢
IY >999%Cliff 2Edge —RVol —Resid —$0
Will Cleveland score over 108.5 points?: Cleveland over 108.5 points scored33¢
IY >999%Cliff 2Edge —RVol —Resid —$0
33 contracts total · sort any columnFull set on /screen →

Biggest movers, 24h, in NBA Team Point Total Markets

From market_changes
11h agoKalshi
Will San Antonio score over 101.5 points?: San Antonio over 101.5 points scored
68¢39→68 (+29)
open →
11h agoKalshi
Will Oklahoma City score over 100.5 points?: Oklahoma City over 100.5 points scored
67¢39→67 (+28)
open →
1h agoKalshi
Will New York score over 109.5 points?: New York over 109.5 points scored
31¢4→31 (+27)
open →
1h agoKalshi
Will Cleveland score over 108.5 points?: Cleveland over 108.5 points scored
31¢6→31 (+25)
open →
1h agoKalshi
Will New York score over 100.5 points?: New York over 100.5 points scored
36¢14→36 (+22)
open →
1h agoKalshi
Will New York score over 103.5 points?: New York over 103.5 points scored
36¢14→36 (+22)
open →
1h agoKalshi
Will New York score over 106.5 points?: New York over 106.5 points scored
34¢12→34 (+22)
open →
1h agoKalshi
Will New York score over 97.5 points?: New York over 97.5 points scored
35¢13→35 (+22)
open →

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: 24 May 2026 04:38:23 GMT.

Term-structure analytics

Probability vs tenor curve and per-bucket deviation analysis. /yield-curves/KXNBATEAMTOTAL →

Category view

All Kalshi Sports markets. /markets/category/sports →

Venue view

Everything on Kalshi. /markets/venue/kalshi →

JSON API

Same data, machine-readable. twin endpoint →