meza

meza — CS2 Stats

CY76561198206682856[U:1:246417128]Steam profile ↗✓ No bans

6,279Tracked matches59%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
FaceitLevel 9 · 1,994 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,994 → 1,994
+3Tracked matches · now 6,279
−3.7ppWin rate · 63.0% → 59.3%

Rating over time

Faceit ELO: 1,994 +0 2 Sept – 20 Oct · 3 observations
1,9941,994peak 1,9942 Sept20 Oct
1,994Highest Faceit ELO seen on CSDB
41Days played since 2026-07-23

Faceit ELO

  • At peak — 1,994
  • Next: Level 10 at 2,001 — 7 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmezaFACEITLevel 9 · 1,994 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,994csdb.gg/stats

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Performance scores

Aim83
Positioning50
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–37–13Last 10050%Win rateWLLLWWLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · −3ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 635ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 686ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 688ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.3
Utility4.5
Positioning5.0
Opening Duels2.7
Clutch1.6

Excellent counter-strafingStrong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 678ms 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

Aim8.3
Positioning5.0
Utility4.5
Mechanics8.5
Opening Duels3.5
Win Impact8.1

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time679ms+24ms
first ⅓ avg 655ms → last ⅓ avg 679ms
Headshot accuracy30.1%−3.8%
first ⅓ avg 33.9% → last ⅓ avg 30.1%

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.

Personal bests

0.09Best match rating · 13–9 · nuke, 4 Oct →
75%Best headshot accuracy · 8–2 · mirage, 5 Sept →
430msFastest reaction time · 13–8 · train, 15 Sept →
13–0Biggest win · mirage, 21 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 80% over 5dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
nukeA159–660%-0.01
anubisB126–650%-0.04
ancientC114–736%-0.03
dust2D103–730%-0.04
vertigoS75–271%-0.03
infernoD62–433%-0.07
cacheB63–350%-0.05
trainS54–180%-0.03
overpass—31–233%-0.03
fachwerk—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,202Matches
50%Win rate
0.93Avg K/D
71.4ADR
52%Headshot %

Clutches & streaks

28%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage24852%0.9415.6
Ancient7254%0.8716.0
Dust25847%0.8013.5
Inferno5448%0.8114.3
Nuke5448%0.9014.3
Anubis5355%1.0117.4
Vertigo3743%0.8615.0
Overpass1861%0.8214.9

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.

29.3%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.3%Spray accuracy
88.4%Counter-strafing
9.8°Preaim
678msReaction time
34.1%T opening success
53.5%CT opening success
0.48Enemies flashed / flash
3.5%Flash assists
6.92HE damage / grenade
9.79Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4756 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 34.1429% — below the 40% mark we flag

Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0328%4 Nov →
mirage7–13-0.0936%2 Nov →
dust28–13-0.0524%2 Nov →
mirage6–13-0.0835%20 Oct →
vertigo13–8-0.0527%20 Oct →
nuke13–8-0.0033%19 Oct →
ancient11–13-0.0738%16 Oct →
dust211–13-0.1027%16 Oct →
inferno7–13-0.1011%16 Oct →
mirage13–70.0238%15 Oct →
train13–3-0.0424%15 Oct →
vertigo13–80.0048%13 Oct →
mirage13–11-0.0416%13 Oct →
nuke10–13-0.1032%13 Oct →
ancient13–7-0.0932%13 Oct →
overpass12–12-0.0120%12 Oct →
mirage13–7-0.0743%9 Oct →
train13–9-0.0117%7 Oct →
nuke13–70.0332%7 Oct →
ancient10–13-0.0943%7 Oct →
anubis13–20.0132%4 Oct →
cache7–13-0.0724%4 Oct →
mirage13–70.0232%4 Oct →
nuke13–90.0924%4 Oct →
vertigo6–13-0.0339%4 Oct →
mirage13–2-0.0457%3 Oct →
dust215–15-0.0617%3 Oct →
nuke12–120.0128%1 Oct →
inferno6–13-0.0817%1 Oct →
dust213–9-0.0221%1 Oct →
cache7–130.0129%1 Oct →
anubis16–14-0.0135%29 Sept →
cache13–11-0.0335%29 Sept →
anubis10–13-0.0517%27 Sept →
mirage13–90.0336%24 Sept →
nuke13–20.0537%24 Sept →
vertigo13–4-0.0743%23 Sept →
nuke13–11-0.0769%22 Sept →
anubis4–13-0.1033%22 Sept →
dust213–11-0.0225%22 Sept →
mirage13–0-0.0317%21 Sept →
nuke13–70.0252%21 Sept →
nuke12–120.0250%15 Sept →
fachwerk8–13-0.0341%15 Sept →
train13–8-0.0331%15 Sept →
ancient6–13-0.0526%14 Sept →
mirage3–13-0.0150%14 Sept →
overpass8–13-0.0617%14 Sept →
dust213–10-0.0152%14 Sept →
fachwerk13–70.0042%9 Sept →
nuke3–13-0.1037%9 Sept →
anubis2–13-0.1129%9 Sept →
nuke13–50.0130%8 Sept →
ancient13–80.0433%8 Sept →
mirage7–13-0.0530%8 Sept →
mirage5–130.0035%7 Sept →
inferno13–40.0473%7 Sept →
train13–8-0.0273%5 Sept →
overpass13–5-0.0239%5 Sept →
mirage8–20.0475%5 Sept →
mirage4–13-0.0815%3 Sept →
nuke10–13-0.0436%3 Sept →
cache11–13-0.0633%1 Sept →
dust211–13-0.0611%1 Sept →
train5–13-0.0436%1 Sept →
mirage10–13-0.0610%31 Aug →
ancient12–120.0014%31 Aug →
anubis12–12-0.0529%30 Aug →
vertigo13–90.0433%30 Aug →
ancient8–13-0.0629%26 Aug →
cache13–9-0.0842%26 Aug →
dust27–13-0.0031%24 Aug →
anubis13–60.0340%24 Aug →
mirage13–100.0257%24 Aug →
nuke13–50.0521%24 Aug →
vertigo12–12-0.0626%24 Aug →
vertigo13–11-0.0247%19 Aug →
ancient11–13-0.0844%19 Aug →
cache13–3-0.0831%18 Aug →
mirage12–12-0.0331%18 Aug →
ancient13–8-0.0143%10 Aug →
mirage13–7-0.0239%10 Aug →
nuke12–12-0.0225%3 Aug →
ancient12–120.0137%3 Aug →
mirage10–130.0029%3 Aug →
anubis13–8-0.0421%2 Aug →
mirage13–11-0.0829%2 Aug →
dust212–12-0.0532%2 Aug →
anubis5–13-0.0828%29 Jul →
mirage4–130.0636%29 Jul →
nuke13–11-0.0346%28 Jul →
anubis13–11-0.0248%27 Jul →
inferno7–3-0.0026%27 Jul →
mirage13–9-0.0325%27 Jul →
inferno9–13-0.1045%24 Jul →
dust211–13-0.0525%24 Jul →
anubis12–120.0023%24 Jul →
mirage12–12-0.0152%23 Jul →
anubis13–6-0.0224%23 Jul →
inferno3–9-0.1526%23 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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