Chizix

Chizix — CS2 Stats

DK76561197972594520[U:1:12328792]Steam profile ↗✓ No bans

875Tracked matches40%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
FaceitLevel 9 · 1,843 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,843 → 1,843
+3Tracked matches · now 875
0.0ppWin rate · 40.0% → 40.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 7 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,663 +123 7 Feb18 Feb · 6 days played
21,54022,331peak 22,3317 Feb18 Feb
Faceit ELO: 1,843 +0 1 Sept10 Sept · 2 observations
1,8431,843peak 1,8431 Sept10 Sept
22,637Peak Premier in tracked matches
1,843Highest Faceit ELO seen on CSDB
38Days played since 2026-02-07

Faceit ELO

  • At peak — 1,843
  • Next: Level 10 at 2,001 158 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

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.

Share this profile

CSDB.GGChizixFACEITLevel 9 · 1,843 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,843csdb.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

Aim64
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY41581Last 10041%Win rateLWWLWLLLWL

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −3.9pp headshot accuracy · +5ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 562ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 573ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.4
Utility7.1
Positioning5.6
Opening Duels3.0
Clutch3.8

Effective flashes

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

device

Plays most like device 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 579ms 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

Aim6.4
Positioning5.6
Utility7.1
Mechanics5.5
Opening Duels2.0
Win Impact1.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time582ms−31ms
first ⅓ avg 613ms → last ⅓ avg 582ms
Headshot accuracy17.0%−2.6%
first ⅓ avg 19.6% → last ⅓ avg 17.0%

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

0.09Best match rating · 9–13 · ancient, 21 Jul
50%Best headshot accuracy · 3–13 · mirage, 15 Feb
391msFastest reaction time · 9–13 · mirage, 30 Jun
13–3Biggest win · dust2, 14 Feb

Across the last 100 tracked matches.

Highlights

3Longest win streak
88In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 59% over 17infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientA27151256%0.00
anubisA1710759%0.00
mirageD1641225%-0.03
dust2D124833%0.01
cacheD103730%-0.02
overpassC104640%-0.01
infernoD51420%-0.01
nuke3030%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,369Matches
52%Win rate
1.19Avg K/D
78.6ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient17456%1.1716.7
Mirage12641%1.0115.6
Anubis9856%1.1215.8
Dust29246%1.1015.4
Overpass8555%1.2016.1
Inferno4243%1.3118.1
Train4058%1.3117.3
Nuke4048%1.0215.0

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.

16.7%Headshot accuracy
32.7%Accuracy (enemy spotted)
36.2%Spray accuracy
74.7%Counter-strafing
9.0°Preaim
579msReaction time
32.9%T opening success
42.8%CT opening success
0.80Enemies flashed / flash
7.9%Flash assists
9.69HE damage / grenade
8.54Flashes / 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 32.9366% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0118%17 Sept
cache13–8-0.0416%11 Aug
ancient13–7-0.0511%9 Aug
mirage8–13-0.067%9 Aug
cache13–80.0113%5 Aug
nuke6–130.0723%5 Aug
ancient13–16-0.057%22 Jul
nuke4–13-0.0941%21 Jul
anubis13–90.0311%21 Jul
cache8–13-0.0612%21 Jul
ancient9–130.0920%21 Jul
nuke10–130.0321%21 Jul
anubis11–130.0312%21 Jul
anubis13–9-0.0119%21 Jul
dust211–130.0323%20 Jul
ancient3–13-0.0222%19 Jul
mirage1–13-0.0624%19 Jul
anubis13–7-0.0120%19 Jul
dust26–130.0219%16 Jul
inferno13–90.0317%16 Jul
cache13–70.0815%16 Jul
ancient13–6-0.0113%16 Jul
mirage5–13-0.0313%14 Jul
ancient16–13-0.0318%14 Jul
anubis13–11-0.0516%14 Jul
cache5–13-0.0126%14 Jul
anubis16–13-0.0614%14 Jul
mirage7–13-0.0124%13 Jul
cache10–13-0.0617%13 Jul
ancient15–19-0.037%8 Jul
cache6–13-0.0712%8 Jul
ancient13–10-0.0218%7 Jul
inferno8–13-0.0511%6 Jul
mirage6–13-0.0414%6 Jul
mirage9–13-0.0712%30 Jun
ancient16–140.0617%22 Jun
ancient13–110.0038%20 Jun
dust219–17-0.0013%18 Jun
mirage6–130.0221%14 Jun
dust27–130.0329%14 Jun
mirage3–13-0.0718%13 Jun
anubis13–90.0225%13 Jun
ancient15–190.0326%13 Jun
inferno11–130.0422%13 Jun
ancient13–100.0521%11 Jun
inferno8–13-0.0117%11 Jun
dust213–90.0325%11 Jun
ancient9–130.0211%11 Jun
ancient11–130.0317%9 Jun
ancient16–140.0419%9 Jun
overpass1–13-0.0722%5 Jun
ancient13–6-0.008%5 Jun
ancient13–90.0617%5 Jun
dust28–13-0.0332%5 Jun
anubis11–130.0117%5 Jun
overpass13–70.0714%23 May
dust213–5-0.0117%23 May
overpass4–13-0.0130%23 May
cache4–13-0.1213%9 May
cache8–130.0226%30 Apr
anubis10–13-0.0221%30 Apr
cache10–130.0522%30 Apr
dust210–13-0.0319%28 Apr
ancient13–70.0321%25 Apr
dust210–13-0.0217%25 Apr
anubis13–8-0.0212%25 Apr
overpass13–70.0020%23 Feb
anubis13–40.0511%20 Feb
overpass10–13-0.0614%18 Feb
dust213–16-0.0321%18 Feb
mirage13–11-0.0520%18 Feb
ancient8–13-0.037%18 Feb
mirage13–8-0.0817%17 Feb
mirage13–16-0.0214%17 Feb
ancient13–10-0.0214%17 Feb
ancient13–7-0.0318%17 Feb
overpass14–160.0127%15 Feb
ancient6–13-0.0117%15 Feb
mirage2–13-0.0428%15 Feb
mirage3–13-0.0050%15 Feb
inferno3–13-0.0821%14 Feb
anubis13–70.0413%14 Feb
overpass11–130.0216%14 Feb
ancient12–16-0.0116%14 Feb
mirage8–130.0412%14 Feb
ancient19–150.0415%14 Feb
dust213–30.0613%14 Feb
mirage13–6-0.0429%14 Feb
anubis15–150.0124%14 Feb
dust214–160.0333%11 Feb
overpass5–13-0.0340%11 Feb
anubis15–19-0.0220%11 Feb
anubis19–170.0115%9 Feb
ancient13–9-0.0212%9 Feb
anubis10–130.0613%9 Feb
overpass13–11-0.0317%9 Feb
overpass13–60.0025%8 Feb
anubis9–13-0.0418%8 Feb
ancient7–13-0.0314%8 Feb
mirage13–80.0324%7 Feb

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 →