ketzigba

ketzigba — CS2 Stats

FI76561197962311563[U:1:2045835]Steam profile ↗✓ No bans

3,648Tracked matches70%Win rate2020Tracked since
4,291Hours in CS1Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,648 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,081 +997 5 Feb – 4 Jul · 30 days played
24,99927,250peak 27,2505 Feb4 Jul
27,343Peak Premier in tracked matches
2,430Highest Faceit ELO seen on CSDB
37Days played since 2026-02-05

Faceit ELO

  • At peak — 2,430
  • Next: 2,500 ELO at 2,500 — 70 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-18
  • Level 9 first seen 2026-09-18

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 18 Sep 2026 and 17 Oct 2026.

Measured 18 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGketzigbaPEAK ELO2,430csdb.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

Aim81
Positioning60
Utility70

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWWWWWLWWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −4.5pp headshot accuracy · −99ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 584ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 634ms

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 (+1.6 against its own average).

Aim8.1
Utility7.0
Positioning6.0
Opening Duels4.6
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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 618ms 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

Aim8.1
Positioning6.0
Utility7.0
Mechanics6.5
Opening Duels3.7
Win Impact10.0

Composite 7.0/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time619ms+22ms
first ⅓ avg 597ms → last ⅓ avg 619ms
Headshot accuracy22.3%+3.0%
first ⅓ avg 19.2% → last ⅓ avg 22.3%

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 · 13–10 · mirage, 14 Mar →
75%Best headshot accuracy · 2–2 · ancient, 13 Mar →
422msFastest reaction time · 13–6 · mirage, 9 Feb →
13–0Biggest win · nuke, 1 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 77% over 22dust2Weakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
nukeS2217–577%0.04
infernoA169–756%0.03
mirageS1510–567%0.01
ancientD124–833%0.02
dust2D121–118%-0.02
anubisS118–373%0.02
overpassS107–370%0.02
cache—22–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,967Lifetime kills
1.14K/D · Top 25% of tracked players
6,119Matches
45.8%Match win rate · Top 50% of tracked players
45.0%Headshot % · Top 50% of tracked players
13.5%Shot accuracy · Top 50% of tracked players
15,577MVPs
4,607Hours (in match)
8,700Bombs planted
2,196Bombs defused

Most-used weapons

AK-4749,201
AWP5,110
MAC-103,604
Knife3,104
MP93,011
FAMAS2,979

Lifetime map wins

11,655inferno
11,013nuke
6,157train
5,157dust2
721vertigo
585cbble
21lake
17ar_shoots

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

Faceit stats

Combat

3,247Matches
51%Win rate
1.21Avg K/D
84.5ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke29463%1.3517.2
Ancient27851%1.1917.7
Anubis21548%1.2017.1
Inferno18047%1.2517.4
Mirage10748%1.1116.5
Dust26146%1.1416.4
Train4957%1.2716.9
Overpass4337%1.1117.1

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.

20.5%Headshot accuracy
40.9%Accuracy (enemy spotted)
44.9%Spray accuracy
79.0%Counter-strafing
10.2°Preaim
618msReaction time
39.5%T opening success
50.3%CT opening success
0.62Enemies flashed / flash
14.3%Flash assists
7.89HE damage / grenade
7.18Flashes / 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 39.4933% — 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.

8% win rate across 12 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
nuke16–120.0417%9 Aug →
anubis13–70.0412%9 Aug →
ancient13–60.0119%9 Aug →
nuke13–50.1122%9 Aug →
nuke13–10.0117%9 Aug →
ancient11–130.0222%24 Jul →
mirage13–70.0113%24 Jul →
cache13–100.0511%24 Jul →
inferno13–80.1016%4 Jul →
nuke13–80.0616%4 Jul →
nuke13–40.0925%3 Jul →
dust23–13-0.0522%3 Jul →
inferno13–10-0.037%26 Jun →
mirage6–13-0.0620%25 Jun →
nuke13–30.0917%24 Jun →
anubis13–70.1019%20 Jun →
nuke13–40.1128%20 Jun →
inferno11–130.0423%20 Jun →
cache13–90.0724%1 May →
nuke13–00.0925%1 May →
ancient13–10-0.0117%27 Mar →
inferno6–130.0424%27 Mar →
inferno7–130.0224%21 Mar →
overpass13–60.1219%15 Mar →
ancient13–30.0316%15 Mar →
mirage13–100.1525%14 Mar →
nuke13–11-0.0129%13 Mar →
dust26–13-0.0329%13 Mar →
mirage4–13-0.0630%13 Mar →
ancient2–2-0.0575%13 Mar →
overpass13–40.0423%13 Mar →
mirage9–130.0116%10 Mar →
mirage13–60.0132%10 Mar →
nuke13–80.0829%8 Mar →
mirage11–130.0125%1 Mar →
anubis16–130.0820%1 Mar →
overpass6–13-0.0616%1 Mar →
overpass13–2-0.0229%1 Mar →
anubis11–13-0.008%28 Feb →
overpass11–13-0.0020%28 Feb →
nuke8–130.0118%28 Feb →
mirage13–70.0631%26 Feb →
ancient13–50.0819%26 Feb →
ancient8–130.0622%26 Feb →
dust23–13-0.0224%26 Feb →
mirage16–14-0.0017%25 Feb →
inferno13–8-0.0111%25 Feb →
ancient5–13-0.0121%25 Feb →
dust28–13-0.0616%25 Feb →
nuke7–13-0.0228%25 Feb →
mirage13–90.0525%24 Feb →
anubis13–100.0527%23 Feb →
anubis13–8-0.0123%23 Feb →
inferno9–130.049%23 Feb →
nuke4–13-0.0619%22 Feb →
inferno9–130.0810%22 Feb →
nuke13–70.0422%21 Feb →
nuke11–13-0.0712%21 Feb →
dust29–13-0.0329%19 Feb →
overpass13–7-0.0124%19 Feb →
nuke13–20.0930%18 Feb →
dust210–13-0.0415%18 Feb →
anubis13–7-0.0232%18 Feb →
nuke13–100.0117%15 Feb →
nuke19–170.0220%14 Feb →
anubis13–90.0415%14 Feb →
mirage16–130.0131%13 Feb →
ancient11–13-0.017%13 Feb →
overpass13–90.0817%13 Feb →
ancient3–130.0318%13 Feb →
ancient13–160.0223%13 Feb →
overpass13–80.1223%12 Feb →
anubis8–13-0.0416%12 Feb →
mirage7–13-0.0225%12 Feb →
ancient8–130.0225%12 Feb →
inferno13–4-0.0219%11 Feb →
mirage13–80.0623%11 Feb →
nuke10–130.0122%11 Feb →
dust22–13-0.0418%11 Feb →
dust26–130.0026%11 Feb →
inferno2–13-0.1110%10 Feb →
anubis6–0-0.030%10 Feb →
inferno13–90.0223%10 Feb →
dust213–16-0.0119%9 Feb →
inferno13–110.0318%9 Feb →
inferno13–00.0730%9 Feb →
mirage13–60.0022%9 Feb →
nuke16–120.028%8 Feb →
dust210–13-0.028%8 Feb →
anubis7–13-0.0014%8 Feb →
overpass6–13-0.0314%7 Feb →
dust213–90.0310%7 Feb →
inferno13–80.0320%7 Feb →
overpass13–9-0.0317%7 Feb →
inferno4–13-0.0117%7 Feb →
nuke13–90.1224%7 Feb →
dust25–13-0.0221%6 Feb →
nuke16–130.0026%6 Feb →
inferno13–30.1133%6 Feb →
mirage13–6-0.0037%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.