Mercury — CS2 Stats

PROTyLooChinaIGLSettings & gear profile →

76561198108796479[U:1:148530751]

1,005Tracked matches53%Win rate2020Tracked since
CSDB Rating7.1 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 1,005
−13.3ppWin rate · 66.7% → 53.3%

Rating over time

Faceit ELO: 3,051 +0 27 Aug – 3 Sept · 4 observations
3,0513,051peak 3,05127 Aug3 Sept
3,051Highest Faceit ELO seen on CSDB
42Days played since 2026-04-04

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.GGMercuryFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO3,051csdb.gg/stats

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Performance scores

Aim96
Positioning45
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateWLLLLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · −5.1pp headshot accuracy · −47ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 425ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 448ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 471ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim9.6
Utility6.8
Positioning4.5
Opening Duels0.8
Clutch4.8

Sharp aimerExcellent 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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 51 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 53% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.6
Positioning4.5
Utility6.8
Mechanics9.1
Opening Duels2.9
Win Impact6.1

Composite 7.1/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time474ms−37ms
first ⅓ avg 511ms → last ⅓ avg 474ms
Headshot accuracy25.9%+3.1%
first ⅓ avg 22.8% → last ⅓ avg 25.9%

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

0.18Best match rating · 13–1 · nuke, 27 Apr →
59%Best headshot accuracy · 6–13 · inferno, 8 Jun →
305msFastest reaction time · 7–13 · anubis, 3 Oct →
13–1Biggest win · cache, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2418–675%0.02
ancientA2214–864%-0.01
infernoA2112–957%0.00
nukeB157–847%0.02
anubisC73–443%0.01
overpassB63–350%0.02
cacheS54–180%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

434Matches
81%Win rate
1.76Avg K/D
92.0ADR
60%Headshot %

Clutches & streaks

44%1v1 clutch win
27%1v2 clutch win
47Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7573%1.7618.6
Inferno5682%1.5916.5
Ancient3967%1.7318.3
Anubis3594%1.4414.5
Nuke3379%1.6416.7
Overpass967%1.3718.6
Vertigo875%2.2418.4
Train667%1.3719.7

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

Inventory

$6,799Inventory value87ItemsFull inventory breakdown →
M4A1-S | Hot Rod (Factory New)$1,814★ Butterfly Knife | Slaughter (Minimal Wear)$1,787★ Sport Gloves | Scarlet Shamagh (Minimal Wear)$570★ Sport Gloves | Scarlet Shamagh (Minimal Wear)$570★ Sport Gloves | Scarlet Shamagh (Minimal Wear)$570StatTrak™ AK-47 | Redline (Minimal Wear)$484

Skill profile

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

25.6%Headshot accuracy
43.1%Accuracy (enemy spotted)
48.1%Spray accuracy
91.0%Counter-strafing
11.0°Preaim
475msReaction time
16.8%T opening success
53.1%CT opening success
0.65Enemies flashed / flash
9.0%Flash assists
5.99HE damage / grenade
13.51Flashes / 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 16.835% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0131%5 Oct →
anubis8–13-0.0820%5 Oct →
cache7–13-0.0732%5 Oct →
nuke10–13-0.0518%4 Oct →
mirage2–13-0.0519%4 Oct →
mirage11–13-0.0417%3 Oct →
anubis7–13-0.0419%3 Oct →
ancient13–4-0.0224%13 Sept →
cache13–10.1230%13 Sept →
mirage13–90.0425%13 Sept →
ancient13–30.0416%10 Sept →
cache13–100.1028%10 Sept →
ancient11–13-0.0145%10 Sept →
inferno11–13-0.0017%10 Sept →
ancient13–70.0637%9 Sept →
cache13–50.1237%9 Sept →
mirage13–60.0227%9 Sept →
ancient13–70.0129%9 Sept →
nuke10–130.0230%9 Sept →
inferno13–60.0220%9 Sept →
mirage13–60.1524%9 Sept →
inferno11–13-0.0127%8 Sept →
ancient4–13-0.0621%8 Sept →
mirage13–2-0.0323%2 Sept →
inferno13–2-0.0140%2 Sept →
inferno13–90.0128%2 Sept →
mirage13–50.0434%2 Sept →
inferno4–13-0.0819%14 Aug →
nuke8–130.0121%14 Aug →
mirage10–13-0.0313%12 Aug →
ancient13–6-0.0129%12 Jul →
inferno10–130.0424%12 Jul →
anubis8–130.0632%12 Jul →
ancient13–9-0.0217%11 Jul →
mirage13–20.0123%11 Jul →
ancient13–30.0319%10 Jul →
ancient13–30.0319%10 Jul →
mirage13–10.0333%10 Jul →
inferno5–13-0.0228%9 Jul →
nuke9–13-0.0429%9 Jul →
mirage13–70.0229%9 Jul →
cache13–70.0034%3 Jul →
nuke13–60.0522%3 Jul →
mirage13–5-0.026%2 Jul →
anubis13–80.0526%1 Jul →
inferno4–13-0.0833%9 Jun →
mirage7–13-0.067%9 Jun →
overpass10–13-0.0427%8 Jun →
inferno6–13-0.0059%8 Jun →
nuke13–60.0516%7 Jun →
overpass9–13-0.0327%6 Jun →
mirage13–90.0131%6 Jun →
ancient13–5-0.0423%5 Jun →
inferno13–7-0.0232%5 Jun →
nuke6–130.0126%4 Jun →
anubis13–10-0.028%4 Jun →
inferno13–50.0337%4 Jun →
inferno13–100.0221%3 Jun →
ancient16–14-0.0330%3 Jun →
nuke14–16-0.0213%2 Jun →
mirage6–11-0.0024%2 Jun →
nuke13–80.0425%28 May →
inferno13–90.0520%26 May →
mirage13–10.1118%26 May →
mirage5–13-0.0431%21 May →
overpass6–130.0320%21 May →
nuke13–80.0421%21 May →
inferno13–70.0328%20 May →
inferno13–16-0.0429%16 May →
ancient6–130.0334%16 May →
anubis13–20.1122%14 May →
overpass13–100.0420%14 May →
ancient5–13-0.0619%13 May →
inferno2–13-0.0519%13 May →
ancient13–90.0724%12 May →
mirage13–4-0.0428%11 May →
nuke13–50.0822%11 May →
inferno13–110.0236%3 May →
ancient10–13-0.0622%3 May →
overpass13–80.0930%3 May →
mirage13–70.0126%2 May →
ancient9–13-0.0213%2 May →
inferno13–40.1125%2 May →
mirage13–40.0818%1 May →
ancient13–3-0.049%1 May →
ancient5–13-0.0714%30 Apr →
overpass13–30.0428%30 Apr →
mirage13–20.0917%30 Apr →
nuke9–13-0.0618%29 Apr →
ancient8–13-0.0133%29 Apr →
inferno13–8-0.0123%29 Apr →
mirage13–50.0315%27 Apr →
nuke13–10.1828%27 Apr →
nuke4–40.0626%5 Apr →
nuke13–8-0.0226%5 Apr →
anubis8–13-0.0221%5 Apr →
mirage13–20.0921%5 Apr →
ancient13–8-0.0011%5 Apr →
inferno13–50.0323%5 Apr →
ancient13–11-0.0321%4 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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