Finished Match Overview Lavked vs Alliance in CS 2

CS2

ESL Challenger League Season 52: Eu - Cup #12

Lavked

0:211/13

Alliance

4Map 113

5Map 213

Winio Prediction

Before draft

39%

Prediction: Alliance

61%

Match breakdown

All correct

Our predictions vs actual result

Match winnercorrect
Total mapscorrect

Prediction factors

49 factors analysed · key ones shown

Winio prediction

Alliance to win

61%39%

Average roster strength

1583

1651

Form over 10 matches

80%

40%

Time with current roster

5 days

114 days

Strongest player

1736

1702

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

51.9%

Prediction: 2 maps

48.1%

2 maps3 maps

Pistol rounds

Round 1 (1st half)

48.2%

Prediction: Alliance

51.8%

LavkedAlliance

Round 13 (2nd half)

48.9%

Prediction: Alliance

51.1%

LavkedAlliance

Lavked vs Alliance — CS2 Match Analysis, November 13 2026

Explore a detailed breakdown of the Lavked vs Alliance match at ESL Challenger League Season 52: Eu - Cup #12. 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.