zikest

zikest — CS2 Stats

76561197960404639[U:1:138911]Steam profile ↗✓ No bans

1,646Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 10 · 2,636 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGzikestFACEITLevel 10 · 2,636 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLLWWWLLWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression6.2
Utility5.9
Positioning5.8
Opening Duels1.9
Clutch4.0

Strong CT-side opener

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 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim6.8
Positioning5.8
Utility5.9
Mechanics5.9
Opening Duels2.2
Win Impact7.2

Composite 6.0/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time612ms−38ms
first ⅓ avg 650ms → last ⅓ avg 612ms
Headshot accuracy25.4%+0.8%
first ⅓ avg 24.6% → last ⅓ avg 25.4%

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

0.10Best rating — nuke 13–3
132Biggest win — nuke
5Longest win streak
L2Current streak
1210In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 73% over 22trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC27121544%0.00
ancientC23101343%0.01
infernoS2216673%0.00
dust2B178947%-0.01
trainD61517%-0.02
overpass330100%0.00
cache21150%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

4,974Matches
52%Win rate
1.09Avg K/D
75.3ADR
53%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient22050%0.9515.0
Nuke20258%1.0515.9
Dust219557%1.0015.0
Inferno16258%1.0015.1
Anubis13236%0.9315.2
Train5652%0.9515.1
Overpass3358%1.0315.2
Vertigo1753%1.0016.4

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.

24.8%Headshot accuracy
30.8%Accuracy (enemy spotted)
37.0%Spray accuracy
76.3%Counter-strafing
10.1°Preaim
602msReaction time
27.6%T opening success
47.6%CT opening success
0.57Enemies flashed / flash
9.1%Flash assists
8.79HE damage / grenade
11.45Flashes / 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 27.5744% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0228%22 Jun
ancient17–190.0116%20 Jun
overpass13–70.0035%20 Jun
cache13–110.0330%26 Apr
dust213–90.0125%25 Apr
cache5–13-0.0330%23 Apr
dust26–13-0.0214%9 Jan
inferno13–110.0128%8 Jan
nuke4–13-0.1228%1 Dec
nuke8–13-0.0222%28 Nov
nuke3–13-0.0426%18 Nov
nuke13–90.037%18 Nov
dust28–13-0.0131%18 Nov
inferno16–14-0.0523%18 Nov
ancient16–140.0211%18 Nov
train13–30.0341%18 Nov
dust213–70.0323%18 Nov
inferno13–6-0.0557%18 Nov
ancient9–130.0432%18 Nov
dust26–13-0.0422%18 Nov
overpass13–7-0.0135%18 Nov
inferno13–5-0.0120%14 Nov
ancient13–8-0.0612%14 Nov
ancient13–11-0.0312%14 Nov
inferno13–30.0527%14 Nov
inferno11–13-0.0320%13 Nov
nuke15–19-0.0128%13 Nov
inferno13–50.0438%11 Nov
nuke10–13-0.0220%5 Nov
overpass13–70.0230%17 Oct
nuke13–16-0.0224%11 Oct
inferno4–13-0.0622%5 Sept
dust210–13-0.0122%5 Sept
nuke13–50.0438%25 Aug
nuke13–60.0326%25 Aug
nuke13–110.0041%21 Aug
inferno11–130.0025%6 Aug
ancient13–100.0128%10 Jun
dust213–110.0318%4 Jun
ancient6–130.0023%4 Jun
train2–13-0.0029%25 May
inferno5–13-0.0323%25 May
dust211–2-0.0335%25 May
nuke11–130.0418%25 May
nuke13–50.0422%25 May
nuke13–8-0.0217%20 May
inferno16–12-0.0426%18 May
ancient10–130.0620%17 May
ancient13–50.0923%17 May
inferno6–13-0.0321%17 May
ancient13–9-0.0511%17 May
dust29–130.0130%17 May
inferno13–80.0427%14 May
inferno13–100.0422%14 May
ancient10–130.0218%14 May
nuke4–13-0.0611%14 May
nuke8–130.0118%14 May
nuke13–90.0118%7 May
nuke11–13-0.0417%30 Apr
nuke13–30.1026%28 Apr
ancient14–160.0224%25 Apr
train5–13-0.0513%25 Apr
nuke13–50.0627%25 Apr
inferno13–6-0.0031%25 Apr
inferno9–130.0421%25 Apr
ancient14–160.0028%25 Apr
nuke16–130.0426%25 Apr
dust213–110.0823%25 Apr
ancient8–13-0.0229%25 Apr
dust213–80.0319%24 Apr
ancient16–13-0.0117%24 Apr
inferno13–110.0722%24 Apr
dust27–13-0.0218%24 Apr
ancient16–130.0422%24 Apr
inferno13–110.0528%24 Apr
dust27–13-0.0429%24 Apr
inferno13–7-0.0331%24 Apr
nuke13–6-0.0321%21 Apr
ancient9–13-0.0524%21 Apr
dust213–11-0.0120%21 Apr
nuke4–130.0328%21 Apr
ancient13–100.0428%20 Apr
inferno16–140.0338%20 Apr
train11–130.0231%20 Apr
ancient10–130.0522%20 Apr
nuke13–20.0723%20 Apr
nuke5–130.0252%20 Apr
train5–13-0.0825%19 Apr
ancient8–130.0127%19 Apr
inferno13–20.0825%19 Apr
nuke15–150.0023%19 Apr
train4–13-0.0420%18 Apr
ancient11–130.0029%18 Apr
dust213–5-0.0716%18 Apr
dust210–13-0.0815%17 Apr
inferno16–12-0.0624%15 Apr
dust210–13-0.0320%13 Apr
ancient13–100.0322%8 Apr
nuke11–13-0.0824%15 Feb
ancient2–13-0.0617%5 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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