Finished Match Overview mellren vs Banda Chuya in CS 2

CS2

CCT Eu 2026 Series #12 Play-In

mellren

2:110/19

Banda Chuya

13Ancient5

8Nuke13

13Mirage8

Winio Prediction

Before draft

73%

Prediction: mellren

27%

Match breakdown

1 of 2 correct

Our predictions vs actual result

Match winnercorrect
Total mapswrong

Prediction factors

49 factors analysed · key ones shown

Winio prediction

mellren to win

73%27%

Average roster strength

1604

1478

Form over 10 matches

90%

70%

Time with current roster

8 days

2 days

Strongest player

1608

1606

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

58.9%

Prediction: 2 maps

41.1%

2 maps3 maps

Pistol rounds

Round 1 (1st half)

52.5%

Prediction: mellren

47.5%

mellrenBanda Chuya

Round 13 (2nd half)

51.2%

Prediction: mellren

48.8%

mellrenBanda Chuya

mellren vs Banda Chuya — CS2 Match Analysis, October 19 2026

Explore a detailed breakdown of the mellren vs Banda Chuya match at CCT Eu 2026 Series #12 Play-In. 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.