Zivlonn:) CS2SKIN.GIFT

Zivlonn:) CS2SKIN.GIFT — CS2 Stats

76561198121994130[U:1:161728402]Steam profile ↗✓ No bans

795Tracked matches40%Win rate2021Tracked since
941Hours in CS
CSDB Rating4.1 Developing
FaceitLevel 6 · 1,081 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.0%44.7%46.1%4.0% short
Shot accuracy11.8%11.9%12.6%0.8% short
Kill/death ratio0.931.041.050.12 short
Match win rate47.3%45.2%45.7%above

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZivlonn:) CS2SKIN.GIFTFACEITLevel 6 · 1,081 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateLWWLLLLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim5.5
Aggression7.3
Utility4.3
Positioning5.1
Opening Duels2.4
Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim5.5
Positioning5.1
Utility4.3
Mechanics5.4
Opening Duels2.4
Win Impact1.7

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time606ms−13ms
first ⅓ avg 619ms → last ⅓ avg 606ms
Headshot accuracy21.7%+2.0%
first ⅓ avg 19.8% → last ⅓ avg 21.7%

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.

Highlights

0.12Best rating — nuke 13–0
130Biggest win — nuke
9Longest win streak
514In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 57% over 21infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB31141745%-0.01
ancientA2112957%0.01
dust2B178947%-0.03
infernoC145936%-0.01
nukeB84450%0.01
anubis43175%-0.03
overpass220100%-0.01
cache1010%-0.01
vertigo1010%0.02
train1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,751Lifetime kills
0.93K/D
1,898Matches
47.3%Match win rate · Top 50% of Level 6 players
42.0%Headshot %
11.8%Shot accuracy
6,653MVPs
941Hours (in match)
3,695Bombs planted
918Bombs defused

Most-used weapons

AK-4711,820
AWP7,828
MP91,240
Knife1,069

Lifetime map wins

4,748dust2
3,715inferno
1,776vertigo
1,301nuke
923train
554cbble
526office
19assault

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

Faceit stats

Combat

702Matches
50%Win rate
1.01Avg K/D
76.7ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20249%1.0115.1
Dust212454%0.9915.6
Ancient10156%0.9914.8
Inferno7943%1.0113.5
Anubis4457%1.1215.8
Nuke3537%1.0214.6
Overpass2752%1.0315.0
Train1656%1.2415.9

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.

19.2%Headshot accuracy
31.1%Accuracy (enemy spotted)
35.3%Spray accuracy
74.3%Counter-strafing
11.0°Preaim
604msReaction time
30.0%T opening success
48.9%CT opening success
0.40Enemies flashed / flash
8.2%Flash assists
6.04HE damage / grenade
7.67Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3994 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 30.0117% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.056%18 Jul
ancient13–90.1020%17 Jul
anubis13–8-0.0310%17 Jul
mirage6–13-0.0315%13 Jul
ancient3–13-0.0214%13 Jul
anubis11–13-0.0311%10 Jul
cache8–13-0.0127%9 Jul
dust213–50.0731%9 Jul
ancient10–13-0.0521%9 Jul
anubis13–6-0.0217%8 Jul
ancient11–130.0214%7 Jul
nuke2–9-0.0586%5 Jul
ancient5–13-0.0429%5 Jul
mirage13–70.0323%5 Jul
dust22–13-0.0720%3 Jul
mirage6–13-0.0816%3 Jul
inferno13–3-0.0322%3 Jul
ancient12–3-0.0719%3 Jul
mirage8–13-0.0119%2 Jul
inferno5–13-0.0231%2 Jul
mirage11–13-0.0214%2 Jul
overpass13–5-0.0515%1 Jul
ancient10–13-0.0625%28 Jun
mirage7–13-0.0520%28 Jun
mirage3–13-0.0525%27 Jun
inferno13–40.0819%27 Jun
nuke13–5-0.0313%27 Jun
inferno11–130.0338%24 Jun
inferno13–7-0.0114%24 Jun
mirage10–13-0.0117%24 Jun
ancient13–100.0016%24 Jun
nuke9–130.0727%24 Jun
mirage13–9-0.0123%22 Jun
dust28–13-0.0515%22 Jun
ancient13–80.0218%22 Jun
dust216–14-0.0115%22 Jun
vertigo1–90.02100%22 Jun
dust213–80.0219%21 Jun
ancient10–130.0724%21 Jun
ancient13–11-0.0314%21 Jun
nuke13–9-0.0319%19 Jun
dust213–10-0.0915%17 Jun
mirage13–90.0113%16 Jun
overpass13–100.0329%16 Jun
dust213–10-0.0422%15 Jun
ancient13–100.0126%15 Jun
dust213–60.0724%12 Jun
ancient16–130.0529%10 Jun
ancient8–13-0.0111%10 Jun
dust213–7-0.019%10 Jun
inferno9–13-0.0819%10 Jun
ancient16–14-0.0117%9 Jun
ancient8–130.0517%9 Jun
mirage13–30.0523%9 Jun
ancient13–40.0427%9 Jun
inferno13–50.0211%9 Jun
mirage13–110.0519%8 Jun
mirage13–110.0422%8 Jun
ancient13–80.0817%8 Jun
mirage11–13-0.0435%7 Jun
mirage13–60.0320%6 Jun
mirage6–13-0.0740%6 Jun
mirage13–30.0416%31 May
dust29–13-0.0510%17 Dec
mirage7–13-0.0322%20 Sept
mirage16–13-0.0314%9 Sept
nuke14–160.0120%27 Aug
mirage14–16-0.0320%19 Aug
train8–130.0425%16 Aug
mirage13–80.0719%15 Aug
mirage11–13-0.0119%11 Aug
inferno4–130.0025%6 Aug
inferno8–80.0217%1 Aug
mirage13–8-0.0518%24 Jul
mirage19–22-0.0418%20 Jul
dust213–80.0128%20 Jul
mirage13–60.0222%14 Jul
inferno14–16-0.0210%13 Jul
nuke11–13-0.0018%11 Jul
dust24–13-0.0612%29 Jun
ancient13–100.0120%17 Jun
inferno13–160.0017%15 Jun
inferno13–10.0821%12 Jun
dust23–13-0.0529%11 Jun
mirage4–13-0.0125%11 Jun
mirage11–13-0.0312%10 Jun
dust211–13-0.0416%9 Jun
dust23–13-0.0723%1 Jun
nuke13–70.0223%1 Jun
ancient13–40.0538%31 May
dust24–13-0.0633%22 Sept
anubis13–9-0.0219%20 Sept
inferno3–13-0.120%3 Mar
mirage1–13-0.0615%19 Jan
mirage14–16-0.0921%30 Oct
mirage13–90.0725%30 Oct
inferno7–13-0.0516%29 Oct
ancient9–13-0.0114%28 Oct
nuke13–00.1213%28 Oct
mirage13–20.0020%28 Oct

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 →