1Z_

1Z_ — CS2 Stats

76561198302053799[U:1:341788071]Steam profile ↗✓ No bans

6,036Tracked matches60%Win rate2021Tracked since
12,201Hours in CS
CSDB Rating6.9 SolidPositional Player
FaceitLevel 10 · 2,770 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,770 → 2,770
+19Tracked matches · now 6,036
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Faceit ELO: 2,770 +0 31 Aug – 3 Sept · 3 observations
2,7702,770peak 2,77031 Aug3 Sept
2,770Highest Faceit ELO seen on CSDB
77Days played since 2025-11-10

Faceit ELO

  • At peak — 2,770
  • Next: 3,000 ELO at 3,000 — 230 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-31
  • Level 10 first seen 2026-08-31

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate55.0%50.9%
Shot accuracy11.8%13.7%
Kill/death ratio0.861.09
Match win rate42.6%48.4%

Share this profile

CSDB.GG1Z_FACEITLevel 10 · 2,770 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,770csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning60
Utility49

0–100 skill scores via Leetify.

Recent form

HOT60–38–2Last 10060%Win rateLWWWWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · +27ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 596ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 582ms

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 (+1.5 against its own average).

Aim8.3
Utility4.9
Positioning6.0
Opening Duels3.5
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

jL

Plays most like jL 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 582ms 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
Positioning6.0
Utility4.9
Mechanics7.8
Opening Duels3.1
Win Impact8.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time595ms−50ms
first ⅓ avg 645ms → last ⅓ avg 595ms
Headshot accuracy25.8%−1.9%
first ⅓ avg 27.8% → last ⅓ avg 25.8%

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

0.19Best match rating · 13–2 · ancient, 12 Dec →
50%Best headshot accuracy · 13–3 · vertigo, 12 Dec →
406msFastest reaction time · 8–13 · ancient, 30 Dec →
13–2Biggest win · ancient, 12 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
18–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 71% over 7infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
ancientS2618–869%0.02
nukeA1911–858%0.02
infernoC146–843%-0.01
anubisB147–750%-0.02
overpassS75–271%0.01
dust2S64–267%-0.01
cache—43–175%0.05
vertigo—42–250%-0.03
train—43–175%0.02
mirage—21–150%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

236,868Lifetime kills
0.86K/D
9,308Matches
42.6%Match win rate
55.0%Headshot % · Top 50% of Level 10 players
11.8%Shot accuracy
34,750MVPs
12,201Hours (in match)
5,163Bombs planted
4,667Bombs defused

Most-used weapons

AK-4793,020
AWP34,864
Knife6,126
SSG 083,930
MP93,904

Lifetime map wins

22,393inferno
14,514nuke
11,189dust2
7,845vertigo
2,611train
956cbble
455lake
47office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

4,887Matches
51%Win rate
1.26Avg K/D
83.0ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient86252%1.2818.8
Anubis69450%1.2218.4
Nuke62052%1.2318.0
Inferno52851%1.2018.1
Dust224445%1.0817.2
Overpass17648%1.1618.4
Train16152%1.1517.2
Vertigo14854%1.2218.7

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.

24.5%Headshot accuracy
38.0%Accuracy (enemy spotted)
38.4%Spray accuracy
84.9%Counter-strafing
10.7°Preaim
582msReaction time
40.7%T opening success
43.7%CT opening success
0.61Enemies flashed / flash
9.3%Flash assists
5.98HE damage / grenade
6.81Flashes / match

Recommended for you

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.

43% 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
inferno7–13-0.0116%2 Oct →
anubis13–40.0415%16 Sept →
cache13–70.0619%25 Aug →
cache13–110.0731%22 Aug →
ancient13–6-0.0221%13 Aug →
ancient11–130.0129%11 Aug →
anubis8–13-0.0624%10 Aug →
vertigo13–110.0233%9 Aug →
dust213–5-0.0333%7 Aug →
cache13–80.0625%30 Jul →
nuke13–90.0522%29 Jul →
inferno11–13-0.0232%30 Jun →
overpass25–230.0318%16 Jun →
anubis13–11-0.0224%15 Jun →
ancient13–110.0624%2 Jun →
nuke13–90.1029%1 Jun →
overpass8–13-0.0828%1 Jun →
anubis13–16-0.0514%1 Jun →
nuke11–13-0.089%30 May →
inferno13–11-0.0032%30 May →
overpass13–8-0.0226%30 May →
nuke11–13-0.0028%29 May →
vertigo4–13-0.0436%28 May →
cache5–130.0131%27 May →
dust216–12-0.0117%19 May →
nuke13–40.0621%19 May →
overpass6–13-0.0322%1 May →
inferno16–130.0634%1 May →
anubis7–13-0.0415%29 Apr →
nuke13–110.0435%29 Apr →
nuke9–13-0.0629%18 Apr →
ancient13–70.0337%18 Apr →
inferno7–13-0.0142%17 Apr →
nuke13–40.1014%15 Apr →
ancient10–13-0.0018%13 Apr →
inferno21–250.0224%12 Apr →
ancient13–40.0831%9 Apr →
nuke8–130.0125%4 Apr →
overpass13–70.0520%4 Apr →
ancient13–40.0213%3 Apr →
anubis10–13-0.0124%25 Mar →
overpass13–60.0527%24 Mar →
ancient2–13-0.0431%23 Mar →
ancient11–130.0112%23 Mar →
dust213–10-0.0127%23 Mar →
inferno8–13-0.0710%23 Mar →
inferno13–9-0.0528%19 Mar →
ancient13–11-0.0024%18 Mar →
ancient13–40.0818%16 Mar →
inferno13–16-0.0235%11 Mar →
inferno14–16-0.0223%10 Mar →
nuke11–13-0.0121%9 Mar →
ancient13–10-0.0030%4 Mar →
anubis13–7-0.0221%1 Mar →
anubis13–6-0.0134%23 Feb →
nuke13–40.1141%19 Feb →
train13–110.0423%12 Feb →
ancient16–14-0.0425%10 Feb →
nuke13–30.0233%10 Feb →
nuke13–100.0023%7 Feb →
anubis3–13-0.0718%6 Feb →
ancient13–60.0239%5 Feb →
anubis9–13-0.0725%2 Feb →
ancient13–90.1322%30 Jan →
nuke8–13-0.0029%30 Jan →
ancient13–8-0.0414%27 Jan →
anubis16–130.0424%25 Jan →
dust210–13-0.0223%24 Jan →
anubis14–160.0021%16 Jan →
dust213–110.0020%16 Jan →
anubis13–70.0548%14 Jan →
anubis13–11-0.0314%13 Jan →
train25–23-0.0217%13 Jan →
ancient13–90.0521%10 Jan →
inferno13–90.0320%7 Jan →
ancient13–110.0336%6 Jan →
nuke13–100.0328%5 Jan →
inferno2–13-0.0129%4 Jan →
train19–160.0234%3 Jan →
ancient13–70.0223%2 Jan →
inferno16–14-0.0130%30 Dec →
ancient8–13-0.0130%30 Dec →
ancient1–13-0.0132%19 Dec →
nuke13–30.0117%19 Dec →
dust29–130.0337%18 Dec →
ancient13–110.0429%17 Dec →
ancient7–130.0637%15 Dec →
inferno13–11-0.0721%14 Dec →
vertigo6–13-0.0724%13 Dec →
ancient13–20.1930%12 Dec →
train6–130.0333%12 Dec →
mirage13–2-0.0617%12 Dec →
vertigo13–3-0.0350%12 Dec →
mirage12–120.1342%11 Dec →
nuke12–120.0227%11 Dec →
nuke13–7-0.0722%3 Dec →
overpass16–140.0626%3 Dec →
ancient13–9-0.0523%20 Nov →
ancient4–13-0.0526%15 Nov →
nuke13–16-0.0030%10 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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