Villager #9

Villager #9 — CS2 Stats

RO76561199436236755[U:1:1475971027]Steam profile ↗✓ No bans

510Tracked matches52%Win rate2022Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating19,888Top 50% of 211,308 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#87109 of 258278 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,888 +383 15 Sept – 5 Oct · 17 days played
17,87920,222peak 20,22215 Sept5 Oct
20,222Peak Premier in tracked matches
56Days played since 2025-09-15

Premier CS Rating

  • 334 below peak (20,222)
  • +2,009 over 30 days · improving
  • Next: Pink band at 20,000 — 112 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGVillager #9FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,888 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning44
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLWTWLLWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.8pp headshot accuracy · −17ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 550ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 520ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 529ms

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 (+2.3 against its own average).

Aim6.9
Utility6.1
Positioning4.4
Opening Duels0.7
Clutch3.8

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

CT openings. Opening success drops from 59% on T to 25% on CT — first contacts on the defending side are being lost.

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

Aim6.9
Positioning4.4
Utility6.1
Mechanics5.8
Opening Duels3.6
Win Impact5.6

Composite 5.7/10 (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 rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time549ms−51ms
first ⅓ avg 600ms → last ⅓ avg 549ms
Headshot accuracy23.0%−2.4%
first ⅓ avg 25.4% → last ⅓ avg 23.0%

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

0.15Best match rating · 9–4 · rooftop, 5 Oct →
86%Best headshot accuracy · 13–1 · dust2, 30 Oct →
391msFastest reaction time · 3–9 · inferno, 23 Sept →
13–1Biggest win · dust2, 22 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
4–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 100% over 5infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A159–660%-0.01
infernoD144–1029%-0.03
ancientB126–650%-0.01
mirageC73–443%-0.03
overpassS75–271%-0.04
cacheB63–350%-0.04
vertigoD62–433%-0.09
anubisS55–0100%-0.02
nuke—42–250%-0.02
train—30–30%-0.06
office—32–167%-0.07
poseidon—20–20%-0.05
boulder—21–150%-0.04
fachwerk—21–150%-0.02
italy—20–20%-0.04
palacio—22–0100%-0.08
rooftop—21–150%0.04
debris—10–10%-0.06
eldorado—10–10%0.05
shelter—10–10%-0.05
warden—10–10%-0.07
golden—10–10%-0.06
transit—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

211Matches
54%Win rate
1.05Avg K/D
77.2ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo4159%1.0815.9
Ancient3741%0.9916.2
Inferno3352%1.0315.1
Mirage3152%1.1114.4
Anubis2658%1.0314.1
Overpass1464%1.3615.0
Dust21369%0.9816.0
Nuke1250%0.8912.5

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.

22.8%Headshot accuracy
31.0%Accuracy (enemy spotted)
37.6%Spray accuracy
75.9%Counter-strafing
10.6°Preaim
542msReaction time
58.7%T opening success
25.4%CT opening success
0.68Enemies flashed / flash
8.4%Flash assists
8.16HE damage / grenade
7.21Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 25.4277% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0231%21 Oct →
cache7–13-0.0447%5 Oct →
dust213–4-0.0131%5 Oct →
train12–12-0.0616%5 Oct →
anubis13–4-0.0123%29 Sept →
ancient8–13-0.0119%29 Sept →
dust212–160.0426%28 Sept →
dust213–100.0621%24 Sept →
dust213–10-0.0528%24 Sept →
inferno9–13-0.0918%23 Sept →
dust213–10.0526%22 Sept →
ancient13–20.0226%22 Sept →
debris4–9-0.0620%21 Sept →
mirage11–13-0.0423%21 Sept →
dust25–13-0.0715%21 Sept →
inferno11–8-0.0023%21 Sept →
dust26–13-0.0614%21 Sept →
ancient0–13-0.0233%21 Sept →
anubis11–0-0.0115%20 Sept →
cache8–13-0.0717%20 Sept →
dust213–3-0.0517%20 Sept →
anubis13–11-0.0534%20 Sept →
inferno9–13-0.0236%19 Sept →
inferno6–9-0.1418%18 Sept →
ancient13–2-0.0128%18 Sept →
ancient13–3-0.0614%16 Sept →
mirage8–130.0018%15 Sept →
vertigo9–4-0.0121%14 Sept →
cache13–9-0.0512%14 Sept →
nuke13–10-0.0812%14 Sept →
dust213–5-0.0218%12 Sept →
train6–13-0.0719%10 Sept →
poseidon7–9-0.0239%9 Sept →
inferno6–13-0.0321%9 Sept →
boulder13–100.0323%4 Sept →
vertigo10–0-0.0510%4 Sept →
anubis13–8-0.0220%4 Sept →
nuke5–13-0.0127%3 Sept →
ancient10–130.0815%1 Sept →
dust210–00.0810%1 Sept →
fachwerk10–13-0.0824%29 Aug →
inferno7–130.0122%29 Aug →
inferno9–70.1035%29 Aug →
dust213–40.0534%28 Aug →
cache16–13-0.0323%28 Aug →
inferno13–40.0747%28 Aug →
inferno11–130.0126%27 Aug →
cache13–6-0.0226%27 Aug →
mirage13–3-0.0641%27 Aug →
poseidon7–9-0.0717%27 Aug →
eldorado5–90.0532%25 Aug →
overpass13–9-0.0524%23 Aug →
nuke13–70.0130%20 Aug →
ancient13–3-0.0528%19 Aug →
overpass13–40.1334%19 Aug →
boulder4–13-0.1017%18 Aug →
fachwerk13–50.0434%16 Aug →
shelter9–13-0.0524%15 Aug →
vertigo3–13-0.074%15 Aug →
warden2–13-0.0729%1 Mar →
overpass13–4-0.0124%1 Jan →
anubis13–4-0.0211%1 Jan →
inferno13–5-0.0024%31 Dec →
vertigo6–13-0.1227%26 Dec →
ancient13–40.0825%26 Dec →
office13–8-0.0816%26 Dec →
mirage13–6-0.0720%17 Dec →
office8–13-0.0623%8 Dec →
dust210–13-0.0418%1 Dec →
overpass13–1-0.0222%20 Nov →
overpass10–9-0.0820%20 Nov →
italy5–13-0.0619%19 Nov →
train12–12-0.0618%18 Nov →
office13–7-0.0520%17 Nov →
nuke4–130.0026%15 Nov →
italy10–13-0.0221%13 Nov →
palacio13–11-0.0818%6 Nov →
mirage1–100.0142%6 Nov →
rooftop8–8-0.0725%3 Nov →
dust23–13-0.0338%30 Oct →
dust213–1-0.0486%30 Oct →
golden4–13-0.0639%20 Oct →
palacio13–6-0.0810%20 Oct →
ancient4–13-0.0719%16 Oct →
vertigo4–9-0.1420%7 Oct →
ancient12–12-0.0425%7 Oct →
inferno8–8-0.1433%6 Oct →
overpass0–9-0.1914%5 Oct →
rooftop9–40.1524%5 Oct →
vertigo5–9-0.1712%4 Oct →
inferno8–8-0.0240%4 Oct →
transit9–10.0531%3 Oct →
inferno3–13-0.0521%24 Sept →
mirage8–13-0.0216%24 Sept →
ancient13–7-0.0219%24 Sept →
ancient10–130.0220%24 Sept →
inferno3–9-0.0741%23 Sept →
dust29–13-0.0815%15 Sept →
overpass4–13-0.1024%15 Sept →
mirage13–9-0.0519%15 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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