TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Counter-Strike: Sissi State Punks vs BIG Academy (BO3) - DACH CS Masters Regular Season
predict
polymarket

What is the result of Sissi State Punks vs BIG Academy?

Volume:
$3,638

Map Handicap: BIG.A (-1.5) vs Sissi State Punks (+1.5)

all

2 markets

Polymarket

Predict

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 26, 2026

Closed: Oct 26, 7:17 PM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Map Handicap: BIG.A (-1.5) vs Sissi State Punks (+1.5)

View
100%
Yes 100¢No 0¢
—
N/A
$96
N/A
N/A
N/A
Settled
Yes
predict

Map Handicap: BIG.A (-1.5) vs Sissi State Punks (+1.5)

View
N/A
N/A
—
$769
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 2.5 Games

View
0%
30%
Yes 0¢No 100¢
—
N/A
$1,994
N/A
N/A
N/A
Settled
No
predict

O/U 2.5 Games

View
N/A
N/A
—
$8
N/A
N/A
N/A
N/A
Settled
No
polymarket

Map 1 Winner

View
0%
20%
Yes 0¢No 100¢
—
N/A
$591
N/A
N/A
N/A
Settled
No
predict

Map 1 Winner

View
0%
Yes 0¢No 100¢
—
$836
$100
N/A
N/A
N/A
Settled
No
polymarket

Match Winner

View
0%
13%
Yes 0¢No 100¢
—
N/A
$488
N/A
N/A
N/A
Settled
No
predict

Match Winner

View
0%
Yes 0¢No 100¢
—
$8
$19
N/A
N/A
N/A
Settled
No
polymarket

Map 2 Winner

View
0%
19%
Yes 0¢No 100¢
—
N/A
$189
N/A
N/A
N/A
Settled
No
predict

Map 2 Winner

View
0%
Yes 0¢No 100¢
—
$7
$161
N/A
N/A
N/A
Settled
No
polymarket

Map 1 Rounds Handicap: BIG Academy (-6.5) vs Sissi State Punks (+6.5)

View
0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Map 1 Total Rounds: Over/Under 21.5

View
100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Map 2 Rounds Handicap: BIG Academy (-6.5) vs Sissi State Punks (+6.5)

View
100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Map 2 Total Rounds: Over/Under 21.5

View
0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 14

Description

This prediction group covers a Counter-Strike match between Sissi State Punks and BIG Academy in the DACH CS Masters Regular Season. Markets include match winner, map winners, total games played, and a map handicap. Resolution relies on official results from hltv.org, with a fallback to credible reporting if hltv.org is delayed.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms utilize the same resolution source (hltv.org) and logic for determining winners, handling postponements, and accounting for forfeits/disqualifications.Primary resolution logic: https://hltv.org

Core resolution logic:

  • Resolution is based on the outcome of the match as reported on hltv.org.
  • If hltv.org doesn't publish results within 2 hours, a consensus of credible reporting (including video evidence) will be used.
  • Postponed matches must be rescheduled within 14 days; otherwise, markets resolve to 50-50.
  • Forfeits, disqualifications, or walkovers are treated as completed matches/maps.

Edge cases & clarifications:

  • Map Not Completed: If a map is not completed, the market resolves to 50-50.
  • Match Canceled: If the match is canceled (not played at all), markets resolve to 50-50.
  • Team Name Discrepancies: Minor discrepancies in team names are acceptable, focusing on the underlying real-world match.
Timing: Resolution will occur after the completion of the match and publication of official results on hltv.org, or within 2 hours of the match's conclusion using credible reporting if hltv.org is delayed.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This market refers to the Counter-Strike match between Sissi State Punks and BIG Academy in the DACH CS Masters Regular Season, initially scheduled for October 26, 2026 at 1:00 PM ET. This market will resolve to "Sissi State Punks" if Sissi State Punks win the match against BIG Academy. This market will resolve to "BIG Academy" if BIG Academy win the match against Sissi State Punks. If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50. If the match is postponed, it must be rescheduled to a start time on or before November 9, 2026 at 11:59 PM ET (14 calendar days after the originally scheduled start of October 26, 2026 at 1:00 PM ET). If, by that deadline, the most recently announced rescheduled start time is on or before the deadline, this market resolves based on the result of the match as played. Otherwise, this market resolves 50-50, regardless of whether the match is subsequently played. If the match begins but is not completed, and one team wins due to the opponent's forfeiture, disqualification, or walkover, this market will resolve to the team who wins. If the match ends in a forfeit, disqualification, or walkover (team withdraws before the start and the other wins automatically), this market will resolve to 50-50. The resolution source for this market will be official information from https://hltv.org. However, if https://hltv.org has not published final results within 2 hours after the event’s conclusion, a consensus of credible reporting may be used instead including video evidence. In cases where a team’s listed name includes minor discrepancies from the resolution source, this market will resolve based on the underlying real-world match rather than exact name matching. Recognizable abbreviations, alternate or erroneous spellings, sponsor tags, affiliate or academy designations, regional identifiers, and minor formatting differences will be treated as referring to the same team, provided the intended team can be clearly and uniquely identified within the relevant competition. If a listed team name has no reasonable connection to any participating team, or if it matches or could reasonably refer to another team in the same competition such that the intended team cannot be unambiguously determined, this market will resolve 50-50.

Predict

This market refers to the Counter-Strike match between Sissi State Punks and BIG Academy in the DACH CS Masters Regular Season, initially scheduled for October 26, 2026 at 1:00 PM ET. This market will resolve to "Sissi State Punks" if Sissi State Punks win the match against BIG Academy. This market will resolve to "BIG Academy" if BIG Academy win the match against Sissi State Punks. If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50. If the match is postponed, it must be rescheduled to a start time on or before November 9, 2026 at 11:59 PM ET (14 calendar days after the originally scheduled start of October 26, 2026 at 1:00 PM ET). If, by that deadline, the most recently announced rescheduled start time is on or before the deadline, this market resolves based on the result of the match as played. Otherwise, this market resolves 50-50, regardless of whether the match is subsequently played. If the match begins but is not completed, and one team wins due to the opponent's forfeiture, disqualification, or walkover, this market will resolve to the team who wins. If the match ends in a forfeit, disqualification, or walkover (team withdraws before the start and the other wins automatically), this market will resolve to 50-50. The resolution source for this market will be official information from https://hltv.org. However, if https://hltv.org has not published final results within 2 hours after the event’s conclusion, a consensus of credible reporting may be used instead including video evidence. In cases where a team’s listed name includes minor discrepancies from the resolution source, this market will resolve based on the underlying real-world match rather than exact name matching. Recognizable abbreviations, alternate or erroneous spellings, sponsor tags, affiliate or academy designations, regional identifiers, and minor formatting differences will be treated as referring to the same team, provided the intended team can be clearly and uniquely identified within the relevant competition. If a listed team name has no reasonable connection to any participating team, or if it matches or could reasonably refer to another team in the same competition such that the intended team cannot be unambiguously determined, this market will resolve 50-50.

Frequently asked questions

On Polymarket and Predict, this dashboard tracks the probabilities of different outcomes for the Counter-Strike match between Sissi State Punks and BIG Academy in the DACH Masters Regular Season. Currently, the Polymarket shows a strong consensus around one potential outcome, while Predict presents a slightly different view. The current volume across both platforms is $3,638, with $2,639 traded in the last 24 hours. This allows traders to express their beliefs about which team will win and profit from correctly predicting the result of the BO3 series. The dashboard aggregates data to provide a comprehensive view of the CS:GO DACH Masters market.

Prediction market odds, like those found in this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on models and internal analysis, while prediction markets are driven by real money at stake, incentivizing participants to be as accurate as possible. This can lead to discrepancies, especially when public sentiment diverges from expert opinion. While sportsbooks may incorporate subjective factors, this market aims to provide a more objective assessment of the likely outcome based on aggregated predictions. It's important to compare both to gain a well-rounded view.