ZXC ПАЛЯНИЦЯ

ZXC ПАЛЯНИЦЯ — CS2 Stats

76561198769004988[U:1:808739260]Steam profile ↗✓ No bans

429Tracked matches52%Win rate2021Tracked since
400Hours in CS
CSDB Rating3.6 LearningSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 59 days played since 7 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,069 +2,701 7 Nov12 Jan · 18 days played
9,25512,725peak 12,7257 Nov12 Jan
12,725Peak Premier in tracked matches
59Days played since 2025-11-07

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 medianLevel 4 medianvs Level 4
Headshot rate45.4%41.9%42.7%above
Shot accuracy9.2%12.2%11.3%2.0% short
Kill/death ratio0.050.980.990.94 short
Match win rate42.9%43.3%43.9%1.1% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZXC ПАЛЯНИЦЯFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim29
Positioning41
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLWWLLLLLWW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −4.6pp headshot accuracy · −81ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 553ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

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 (+1.6 against its own average).

Aim2.9
Utility5.2
Positioning4.1
Opening Duels0.4
Clutch4.6

Strong T-side openerLimited utility dependence

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

Twistzz

Plays most like Twistzz 59% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning4.1
Utility5.2
Mechanics3.3
Opening Duels0.4
Win Impact5.6

Composite 3.6/10 (Learning), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time614ms−4ms
first ⅓ avg 618ms → last ⅓ avg 614ms
Headshot accuracy16.8%−4.2%
first ⅓ avg 20.9% → last ⅓ avg 16.8%

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

0.24Best match rating · 9–3 · inferno, 22 Nov
50%Best headshot accuracy · 7–13 · inferno, 2 Jan
391msFastest reaction time · 13–1 · mirage, 21 Dec
13–1Biggest win · mirage, 21 Dec

Across the last 100 tracked matches.

Highlights

4Longest win streak
96In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 57% over 14officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B23121152%0.00
infernoB178947%0.01
mirageB168850%-0.03
nukeA148657%-0.01
anubisC73443%-0.04
officeD61517%0.02
trainC52340%-0.06
ancient41325%-0.04
overpass41325%-0.06
vertigo220100%0.03
cache220100%-0.02

Across the last 100 tracked matches.

Lifetime stats

22,559Lifetime kills
0.05K/D
1,411Matches
42.9%Match win rate
45.4%Headshot % · Top 50% of Level 3 players
9.2%Shot accuracy
3,222MVPs
400Hours (in match)
1,145Bombs planted
251Bombs defused

Most-used weapons

Lifetime map wins

1,522dust2
1,341inferno
921nuke
672train
480vertigo
251office
133cbble
35lake

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

Faceit stats

Combat

65Matches
46%Win rate
1.00Avg K/D
79.6ADR
52%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1650%1.0814.3
Dust21540%0.9313.6
Ancient1338%1.0215.5
Inferno1354%1.0816.8
Nuke560%0.8912.6
Anubis250%0.548.5
Train10%0.5910.0

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.

17.0%Headshot accuracy
24.9%Accuracy (enemy spotted)
22.2%Spray accuracy
65.0%Counter-strafing
9.4°Preaim
620msReaction time
33.5%T opening success
22.9%CT opening success
0.69Enemies flashed / flash
4.6%Flash assists
11.28HE damage / grenade
4.05Flashes / 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 33.5485% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
train6–130.039%13 Aug
train13–11-0.059%6 Aug
vertigo13–100.059%4 Aug
office10–130.0315%9 Jul
office1–110.0111%9 Jul
office7–130.0213%8 Jul
office7–130.0433%8 Jul
anubis0–13-0.100%5 Jul
inferno13–8-0.0411%5 Jul
cache13–60.0212%3 Jul
ancient12–120.0023%30 Jun
inferno2–13-0.0113%30 Jun
overpass8–13-0.0014%30 Jun
nuke3–13-0.0823%30 Jun
overpass13–8-0.0516%18 Jun
mirage13–5-0.034%13 Jun
nuke6–130.0222%3 Jun
mirage0–13-0.097%3 Jun
inferno13–11-0.0524%26 May
anubis13–6-0.0123%26 May
cache13–5-0.0631%16 May
anubis13–11-0.0115%20 Apr
office3–130.0527%17 Apr
dust213–10-0.0621%17 Apr
train0–5-0.240%14 Apr
anubis10–130.0028%4 Apr
mirage13–70.0120%28 Mar
vertigo13–90.0015%21 Mar
mirage13–6-0.0323%14 Mar
nuke13–7-0.0117%8 Mar
dust27–13-0.0221%6 Mar
dust25–13-0.0818%6 Mar
inferno13–8-0.0127%15 Feb
anubis4–13-0.0319%15 Feb
mirage16–14-0.0618%26 Jan
dust23–130.0320%25 Jan
mirage2–13-0.0212%24 Jan
dust213–100.0731%15 Jan
anubis13–9-0.0217%15 Jan
dust213–80.0733%14 Jan
dust27–130.0319%13 Jan
nuke6–13-0.0840%12 Jan
mirage13–4-0.0315%12 Jan
mirage10–13-0.0224%11 Jan
dust213–110.0225%11 Jan
train9–13-0.0816%5 Jan
inferno7–130.0550%2 Jan
nuke13–8-0.0321%2 Jan
dust211–130.0018%2 Jan
train13–70.0432%1 Jan
mirage3–13-0.055%1 Jan
dust212–12-0.0221%1 Jan
dust211–13-0.0340%31 Dec
overpass6–13-0.1225%29 Dec
dust211–13-0.0718%29 Dec
inferno13–16-0.0329%29 Dec
nuke13–11-0.0519%28 Dec
mirage1–13-0.0613%27 Dec
dust216–140.0020%27 Dec
nuke13–7-0.0223%25 Dec
dust24–13-0.0718%25 Dec
office13–10-0.0412%25 Dec
dust213–10-0.0217%25 Dec
inferno11–130.0032%23 Dec
dust213–90.0120%21 Dec
mirage13–1-0.0733%21 Dec
inferno3–9-0.1425%20 Dec
ancient13–11-0.0328%20 Dec
inferno5–9-0.1319%19 Dec
nuke6–9-0.0621%19 Dec
mirage9–130.0220%18 Dec
dust23–130.0311%18 Dec
nuke7–130.0434%14 Dec
anubis12–12-0.0830%13 Dec
nuke13–70.0323%13 Dec
mirage13–9-0.0424%6 Dec
dust213–90.0330%6 Dec
nuke7–13-0.0227%30 Nov
ancient5–13-0.0718%30 Nov
dust213–40.0214%28 Nov
dust213–11-0.0325%28 Nov
dust23–13-0.0115%28 Nov
mirage13–16-0.0112%23 Nov
inferno13–40.0313%23 Nov
overpass7–9-0.0624%22 Nov
inferno9–10.1819%22 Nov
inferno9–30.2419%22 Nov
dust216–130.0520%21 Nov
inferno13–50.0124%21 Nov
inferno5–9-0.0431%21 Nov
dust213–70.0715%19 Nov
inferno9–5-0.0018%19 Nov
nuke13–8-0.0315%18 Nov
nuke13–20.0532%18 Nov
inferno8–80.0528%17 Nov
nuke9–20.0824%12 Nov
inferno7–9-0.0114%12 Nov
ancient4–13-0.047%10 Nov
mirage7–130.0323%8 Nov
mirage13–9-0.0116%7 Nov

Match data via Leetify.

Recent teammates

Milestones

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