Meyhana — CS2 Stats

76561198977336797[U:1:1017071069]✓ No bans

2,280Tracked matches46%Win rate2020Tracked since
CSDB Rating6.0 SolidAggressive Rifler
FaceitLevel 10 · 2,474 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGMeyhanaFACEITLevel 10 · 2,474 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning59
Utility65

0–100 skill scores via Leetify.

Recent form

COLD56413Last 10056%Win rateLLLWLLWWLT

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression6.7
Utility6.5
Positioning5.9
Opening Duels2.0
Clutch4.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.3
Positioning5.9
Utility6.5
Mechanics7.1
Opening Duels2.4
Win Impact3.8

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time582ms+7ms
first ⅓ avg 575ms → last ⅓ avg 582ms
Headshot accuracy25.1%+1.3%
first ⅓ avg 23.8% → last ⅓ avg 25.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.24Best rating — mirage 13–4
130Biggest win — train
8Longest win streak
L3Current streak
49In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A40221855%0.05
mirageA149564%0.05
ancientS97278%0.03
cacheD62433%0.00
nukeA53260%0.02
anubisC52340%0.05
infernoD51420%0.00
overpassC52340%0.06
train440100%0.11
golden220100%0.05
palacio2020%0.09
office1010%0.02
alpine110100%0.01
vertigo110100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,907Matches
53%Win rate
1.26Avg K/D
92.8ADR
49%Headshot %

Clutches & streaks

42%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage50254%1.2618.9
Dust241957%1.3218.5
Anubis32452%1.2618.4
Ancient24148%1.2218.1
Vertigo5345%1.2317.9
Train5153%1.2218.5
Inferno3845%1.3116.9
Overpass2245%1.3718.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
30.0%Spray accuracy
81.8%Counter-strafing
8.3°Preaim
561msReaction time
27.1%T opening success
49.2%CT opening success
0.67Enemies flashed / flash
13.2%Flash assists
9.87HE damage / grenade
11.07Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.1102% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache1–4-0.0129%18 Jul
ancient8–130.0526%17 Jul
dust20–13-0.030%17 Jul
dust22–00.11100%17 Jul
cache9–130.0223%17 Jul
nuke1–13-0.065%17 Jul
dust213–20.0940%17 Jul
dust213–110.0843%6 Jul
anubis8–130.0824%5 Jul
inferno12–120.0214%5 Jul
mirage13–10.0319%5 Jul
dust27–130.0229%5 Jul
cache13–40.0113%5 Jul
dust26–13-0.0124%4 Jul
train13–30.1930%21 Jun
cache6–13-0.0626%23 May
dust213–50.0111%19 May
inferno9–13-0.0313%19 May
office5–130.0244%16 May
alpine13–10.0138%16 May
cache10–130.0324%6 May
mirage11–13-0.0426%6 May
anubis13–3-0.0017%6 May
dust29–130.0723%5 May
cache13–50.0123%5 May
dust212–12-0.0421%5 May
dust28–130.0123%5 May
mirage13–100.0213%21 Apr
ancient13–40.0912%21 Apr
dust213–70.0927%21 Apr
dust26–13-0.0122%16 Apr
anubis7–130.1027%1 Apr
dust213–30.0523%12 Mar
mirage13–10.1428%11 Mar
dust213–40.1227%6 Mar
dust25–130.0940%5 Mar
train13–00.1117%26 Feb
anubis9–13-0.0336%23 Feb
mirage7–13-0.0212%22 Feb
mirage13–9-0.0223%16 Feb
dust213–60.0922%12 Feb
mirage13–60.0226%10 Feb
dust213–110.0828%3 Jan
dust27–13-0.0123%3 Jan
mirage13–100.0119%25 Dec
dust213–80.1114%17 Dec
overpass4–13-0.0621%11 Dec
dust213–20.0618%11 Dec
ancient13–50.0216%11 Dec
ancient13–50.0823%11 Dec
anubis13–40.1033%10 Dec
ancient13–60.0716%6 Dec
overpass2–5-0.0130%29 Nov
dust211–130.0529%29 Nov
dust28–13-0.0119%20 Nov
dust213–20.0729%20 Nov
dust24–5-0.0131%19 Nov
nuke13–60.0110%19 Nov
dust213–20.0829%19 Nov
ancient13–20.0423%16 Nov
dust213–90.0717%16 Nov
dust213–50.0217%15 Nov
nuke13–100.0820%12 Nov
mirage13–30.1224%12 Nov
ancient8–30.0137%12 Nov
mirage11–130.0415%5 Nov
overpass13–40.1422%5 Nov
dust213–50.0323%5 Nov
ancient13–70.0219%5 Nov
overpass13–90.1722%29 Oct
dust213–60.0125%29 Oct
vertigo13–90.0417%22 Oct
inferno2–13-0.0718%17 Oct
dust213–30.1034%14 Oct
train13–00.1223%12 Oct
ancient2–13-0.1226%12 Oct
dust28–13-0.0212%11 Oct
mirage3–13-0.0325%10 Oct
overpass11–130.0620%9 Oct
train16–130.0220%9 Oct
golden13–100.0429%9 Oct
dust213–70.0927%9 Oct
palacio11–130.1118%9 Oct
dust213–50.1033%6 Oct
mirage13–40.2419%6 Oct
golden13–30.0613%6 Oct
palacio4–110.0730%6 Oct
dust23–13-0.0321%3 Oct
dust211–130.0433%3 Oct
inferno13–80.000%30 Sept
nuke11–130.0521%26 Sept
dust213–110.0534%24 Sept
mirage13–80.0525%24 Sept
dust213–80.0225%17 Sept
dust23–4-0.0113%14 Sept
dust22–60.1356%14 Sept
nuke6–00.0433%11 Sept
mirage1–60.0925%11 Sept
dust210–130.0425%11 Sept
inferno12–120.1023%10 Sept

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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