TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 25, 3:52 PM EST
Kalshi
This market tracks whether the total corners in the second half of the upcoming Copa Sudamericana match between CA Tigre and Club Nacional de Football will be over or under 3.5. The aggregated consensus probability for the leading outcome is 2.5%, drawn from Polymarket and Kalski, with resolution based on official statistics from CONMEBOL or the event organizers. The second outcome, regarding whether the total corners will be odd or even, holds a probability of 2.0%. Watch for the match on July 28, 2026, which will determine the resolution.
Total corners markets for the Copa Sudamericana game between CA Tigre and Club Nacional de Football, scheduled for July 28, 2026 at 6:00 PM ET.
Resolution is based on the final score of the professional Argentina Primera Division soccer match between Rio Cuarto and Tigre after 90 minutes plus stoppage time, excluding extra time and penalties. Each team outcome resolves to Yes if that team wins, while a Tie outcome resolves to Yes if the match ends in a draw. If the match is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with the rules.
Prediction market odds on this market often diverge from traditional sportsbook lines because they reflect trader sentiment and can adjust more rapidly to new information. While sportsbooks set fixed lines based on historical data and analyst input, prediction markets price in real‑time based on actual bets placed by participants. This creates opportunities where the implied probability from Polymarket or Kalshi may appear more or less favorable than sportsbook odds, particularly as game dynamics shift. Traders watch both to spot potential value or divergence.
On Polymarket and Kalshi, prices can differ because each platform attracts distinct user bases and may have varying liquidity levels. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For example, one venue might see heavier betting from soccer‑focused traders, skewing its odds, while the other could reflect broader market trends or lower participation. Additionally, each platform calculates its own implied probabilities from open‑order book data, which can produce divergent price tags even for the same underlying question. These differences often even out as more traders engage, but they can persist near the event.
Key signals that could shift this market include major team injuries, tactical changes announced by coaches, weather forecasts affecting playing conditions, and any pre‑match analysis highlighting aggressive or defensive strategies. Sudden shifts in betting volume on either Polymarket or Kalshi also serve as real‑time indicators of changing sentiment. Traders watch injury reports and lineup announcements closely, because updates can reshape expectations for how many corners each side might earn.