7 Chinese Lesbians

7 Chinese Lesbians — CS2 Stats

ZA76561198312493485[U:1:352227757]Steam profile ↗✓ No bans

1,906Tracked matches57%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+30Tracked matches · now 1,906
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 26,702 +43 30 Jun – 1 Jul · 2 days played
26,65926,702peak 26,70230 Jun1 Jul
26,911Peak Premier in tracked matches
40Days played since 2026-06-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim63
Positioning60
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWLWLLWLWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +6.1pp headshot accuracy · −40ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 497ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 481ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 501ms

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 (+2 against its own average).

Aim6.3
Utility4.9
Positioning6.0
Opening Duels1.5
Clutch3.8

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.

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning6.0
Utility4.9
Mechanics3.7
Opening Duels3.5
Win Impact7.2

Composite 5.4/10 (Developing), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time520ms−56ms
first ⅓ avg 575ms → last ⅓ avg 520ms
Headshot accuracy18.5%−0.5%
first ⅓ avg 19.0% → last ⅓ avg 18.5%

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

0.14Best match rating · 9–7 · overpass, 12 Sept →
43%Best headshot accuracy · 8–13 · cbble, 9 Sept →
359msFastest reaction time · 6–13 · inferno, 12 Oct →
13–3Biggest win · anubis, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 71% over 17overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%0.00
nukeS1712–571%-0.01
infernoS1510–567%-0.01
cacheA138–562%-0.01
anubisB105–550%-0.00
ancientC73–443%-0.02
overpassD62–433%0.02
dust2C52–340%-0.03
cbble—41–325%-0.01
echolab—10–10%-0.07
biome—10–10%-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,769Matches
52%Win rate
1.05Avg K/D
72.7ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8748%1.0214.5
Nuke6846%1.0014.1
Ancient6552%1.1715.1
Anubis6354%0.9914.7
Cache6067%1.0213.6
Overpass4951%1.0814.6
Inferno4755%0.9713.6
Dust23447%0.8512.7

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.

17.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.6%Spray accuracy
66.7%Counter-strafing
9.4°Preaim
519msReaction time
43.5%T opening success
44.5%CT opening success
0.60Enemies flashed / flash
5.9%Flash assists
8.53HE damage / grenade
7.38Flashes / match

Recommended for you

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–30.0718%14 Oct →
inferno6–13-0.0331%12 Oct →
nuke13–80.0234%12 Oct →
mirage10–130.0113%1 Oct →
echolab11–13-0.0717%1 Oct →
cache13–5-0.069%25 Sept →
anubis0–13-0.0719%22 Sept →
nuke13–50.0221%22 Sept →
mirage8–130.0118%22 Sept →
inferno13–80.0429%22 Sept →
mirage12–160.0717%21 Sept →
mirage7–13-0.0020%21 Sept →
inferno13–80.0112%21 Sept →
anubis13–9-0.0512%19 Sept →
ancient13–10-0.0611%19 Sept →
nuke13–30.039%19 Sept →
mirage11–13-0.1019%17 Sept →
inferno6–6-0.0220%17 Sept →
anubis13–7-0.0714%17 Sept →
ancient10–13-0.0313%16 Sept →
inferno8–13-0.0528%13 Sept →
mirage16–14-0.0519%13 Sept →
inferno13–40.017%13 Sept →
mirage13–110.0313%13 Sept →
nuke5–13-0.0224%12 Sept →
mirage11–130.0416%12 Sept →
nuke13–9-0.038%12 Sept →
overpass9–70.1414%12 Sept →
mirage8–130.0317%10 Sept →
ancient13–30.0519%10 Sept →
inferno13–9-0.0130%9 Sept →
mirage13–7-0.0517%9 Sept →
cbble8–13-0.0743%9 Sept →
cbble5–13-0.0515%31 Aug →
nuke16–14-0.029%29 Aug →
cache13–80.0215%29 Aug →
cache3–130.0222%26 Aug →
mirage13–110.0116%26 Aug →
mirage13–30.1318%26 Aug →
biome13–16-0.0616%25 Aug →
mirage5–13-0.0811%19 Aug →
nuke13–7-0.0713%19 Aug →
inferno6–00.0818%19 Aug →
nuke13–100.0115%19 Aug →
overpass3–13-0.119%17 Aug →
cache10–13-0.0314%17 Aug →
inferno13–8-0.075%17 Aug →
cbble10–13-0.0211%17 Aug →
inferno13–9-0.039%17 Aug →
mirage14–160.0014%14 Aug →
cache13–70.0120%14 Aug →
nuke9–130.0317%13 Aug →
mirage13–80.0017%13 Aug →
mirage19–15-0.0213%11 Aug →
cache6–13-0.0417%9 Aug →
inferno13–80.0316%3 Aug →
cbble13–70.0820%3 Aug →
ancient13–16-0.0413%30 Jul →
cache10–13-0.0117%30 Jul →
ancient13–11-0.0022%25 Jul →
nuke13–7-0.0016%25 Jul →
mirage6–13-0.029%22 Jul →
mirage13–8-0.0517%22 Jul →
mirage13–11-0.0217%22 Jul →
cache13–80.0319%21 Jul →
dust213–80.0122%21 Jul →
nuke12–160.0719%21 Jul →
overpass13–70.0425%21 Jul →
nuke7–13-0.1114%20 Jul →
ancient7–13-0.015%19 Jul →
dust21–13-0.0617%19 Jul →
nuke4–13-0.0718%19 Jul →
cache13–100.0126%19 Jul →
anubis10–130.0317%18 Jul →
mirage11–130.0923%18 Jul →
cache4–13-0.0320%18 Jul →
anubis13–110.0410%18 Jul →
overpass11–13-0.0316%16 Jul →
cache13–6-0.0721%16 Jul →
nuke13–9-0.0320%16 Jul →
overpass6–130.0316%14 Jul →
dust213–11-0.0117%10 Jul →
nuke13–60.0226%10 Jul →
inferno3–13-0.0631%10 Jul →
dust25–13-0.0824%5 Jul →
dust28–13-0.0317%3 Jul →
cache13–6-0.0514%3 Jul →
nuke13–5-0.0027%3 Jul →
inferno7–13-0.0618%1 Jul →
nuke13–70.0229%1 Jul →
anubis9–130.0215%1 Jul →
anubis15–150.0123%30 Jun →
ancient11–13-0.0233%30 Jun →
inferno11–130.0117%30 Jun →
inferno13–90.0414%30 Jun →
anubis13–60.0227%30 Jun →
mirage7–13-0.0212%29 Jun →
overpass7–130.0410%29 Jun →
cache13–70.0320%28 Jun →
anubis9–13-0.048%28 Jun →

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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