Finished Match Overview Bounty Hunters vs Turma do Pagode in CS 2

CS2

ESL Challenger League Season 52: SA - Cup #2

Bounty Hunters

1:209/23

Turma do Pagode

13Map 11

6Map 213

11Map 313

Winio Prediction

Before draft

59%

Prediction: Bounty Hunters

41%

Match breakdown

Our predictions vs actual result

Match winnerwrong
Total mapswrong

Prediction factors

49 factors analysed · key ones shown

Winio prediction

Bounty Hunters to win

59%41%

Average roster strength

1596

1582

Form over 10 matches

60%

40%

Time with current roster

16 days

7 days

Strongest player

1681

1646

Model accuracy

Full archive

Form & Head-to-Head

Last five matches and head-to-head over a year.

Rosters & Form

Our rating for every player, powered by the Winio algorithm

player form over the last 10 maps, regardless of team

Additional predictions

Total maps

51.3%

Prediction: 2 maps

48.7%

2 maps3 maps

Pistol rounds

Round 1 (1st half)

49.5%

Prediction: Turma do Pagode

50.4%

Bounty HuntersTurma do Pagode

Round 13 (2nd half)

50.7%

Prediction: Bounty Hunters

49.3%

Bounty HuntersTurma do Pagode

Bounty Hunters vs Turma do Pagode — CS2 Match Analysis, September 23 2026

Explore a detailed breakdown of the Bounty Hunters vs Turma do Pagode match at ESL Challenger League Season 52: SA - Cup #2. Winio's analytical model processed every phase of the game, identified the decisive factors, and measured how closely the pre-match prediction matched the actual result.

CS2 Post-match Analysis: What's Inside

Final result and prediction accuracy. Compare the pre-match win probability with the actual outcome and see which factors proved decisive.
Key moments that changed the game. A breakdown of the critical events that shaped the result: turning points, map control shifts, and individual performances.
Full match statistics. Detailed metrics for both teams and every player: rating, ADR, KAST, map efficiency, and other indicators that explain the final score.
Comparison with previous meetings. See how this match fits into the teams' head-to-head history and which patterns repeated.

Use finished match data to understand how Winio's model performs over time. Each completed match adds to the prediction history available at the Ended Matches section.