Koń na jajсah — CS2 Stats

76561198255704399[U:1:295438671]

1,184Tracked matches39%Win rate2022Tracked since
3,909Hours in CS7Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKoń na jajсahFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning46
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY43498Last 10043%Win rateLLWWLWLLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.1
Aggression4.0
Utility7.2
Positioning4.6
Opening Duels0.0
Clutch3.6

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.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

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

Aim7.1
Positioning4.6
Utility7.2
Mechanics4.9
Opening Duels0.2
Win Impact1.4

Composite 5.0/10 (Developing), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time544ms−34ms
first ⅓ avg 579ms → last ⅓ avg 544ms
Headshot accuracy25.0%+6.6%
first ⅓ avg 18.4% → last ⅓ avg 25.0%

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.

Highlights

0.19Best rating — dust2 13–5
131Biggest win — dust2
4Longest win streak
L2Current streak
411In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 44% over 70mirageWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
dust2C70313944%0.01
mirageC2281436%0.01
inferno43175%0.07
ancient31233%-0.04
office1010%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,651Lifetime kills
1.05K/D · Top 50% of tracked players
6,021Matches
45.8%Match win rate
42.9%Headshot %
10.6%Shot accuracy
13,526MVPs
2,236Hours (in match)
6,354Bombs planted
1,280Bombs defused

Most-used weapons

AK-4727,500
AWP16,457
MP93,402
SSG 083,201
Tec-92,809
MP72,032

Lifetime map wins

25,516dust2
5,116inferno
1,475nuke
1,125vertigo
743cbble
241train
93lake
82office

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

Faceit stats

Combat

175Matches
54%Win rate
1.53Avg K/D
88.3ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5860%1.5818.1
Inferno2642%1.3517.2
Anubis2450%1.8118.0
Ancient2264%1.3919.6
Dust21377%1.9719.9
Overpass1136%1.2617.2
Nuke1060%1.6718.0
Vertigo1030%1.0817.8

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.

24.1%Headshot accuracy
28.8%Accuracy (enemy spotted)
31.9%Spray accuracy
72.2%Counter-strafing
7.4°Preaim
541msReaction time
27.3%T opening success
31.9%CT opening success
0.77Enemies flashed / flash
5.7%Flash assists
8.62HE damage / grenade
24.87Flashes / 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 27.3333% — below the 40% mark we flag

Spend your practice time on Mirage

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 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–60.0014%27 Aug
dust24–13-0.0132%27 Aug
mirage13–40.1117%25 Aug
dust213–70.0521%25 Aug
dust211–130.0211%23 Aug
dust213–10.0238%20 Aug
dust25–13-0.0728%20 Aug
mirage3–10-0.0124%20 Aug
dust213–3-0.0330%20 Aug
dust213–9-0.0221%16 Aug
dust26–13-0.0740%15 Aug
dust213–11-0.0024%14 Aug
dust211–130.0544%12 Aug
dust27–30.0950%11 Aug
mirage10–13-0.0222%11 Aug
dust25–13-0.0326%11 Aug
office0–7-0.0229%10 Aug
dust213–7-0.0020%10 Aug
mirage3–130.0213%10 Aug
dust23–40.0538%10 Aug
dust210–130.0529%9 Aug
dust212–12-0.0115%9 Aug
dust27–13-0.0524%9 Aug
dust22–50.0050%9 Aug
dust210–13-0.0828%8 Aug
dust27–130.0321%8 Aug
dust212–12-0.0116%5 Aug
dust213–50.0613%4 Aug
mirage13–60.0515%4 Aug
dust213–50.0315%4 Aug
dust210–130.0431%4 Aug
mirage8–13-0.0410%3 Aug
dust213–30.0720%3 Aug
dust213–9-0.0221%1 Aug
dust29–130.0131%1 Aug
dust22–7-0.0813%1 Aug
dust22–13-0.0713%1 Aug
mirage3–13-0.0617%1 Aug
dust26–10.0129%1 Aug
dust25–130.0040%1 Aug
mirage13–70.0018%31 Jul
inferno11–130.0024%31 Jul
dust213–50.1920%31 Jul
dust213–8-0.0138%31 Jul
dust211–13-0.0426%31 Jul
inferno13–50.082%30 Jul
mirage13–100.0113%30 Jul
dust213–60.0321%30 Jul
dust213–20.0726%29 Jul
mirage10–13-0.0316%29 Jul
dust23–13-0.0518%29 Jul
dust213–80.1224%29 Jul
dust212–120.0428%28 Jul
mirage13–11-0.0311%28 Jul
dust213–110.0320%28 Jul
dust211–13-0.0426%27 Jul
mirage11–130.0121%27 Jul
dust25–13-0.0323%27 Jul
dust212–120.0234%27 Jul
inferno13–30.1323%27 Jul
mirage2–13-0.0533%26 Jul
dust213–100.0119%26 Jul
dust29–13-0.0715%26 Jul
dust213–80.0431%26 Jul
mirage11–13-0.0124%26 Jul
dust23–120.048%26 Jul
dust23–13-0.0714%26 Jul
dust213–4-0.059%23 Jul
dust25–13-0.0820%22 Jul
dust211–130.0224%22 Jul
mirage6–130.0030%22 Jul
dust213–60.0633%22 Jul
dust213–90.0219%20 Jul
dust27–13-0.028%20 Jul
mirage13–3-0.0238%20 Jul
dust26–13-0.0223%20 Jul
dust212–120.0117%20 Jul
dust213–50.0621%19 Jul
dust28–130.0124%19 Jul
dust22–9-0.0714%19 Jul
ancient13–8-0.0021%18 Jul
ancient2–13-0.0817%18 Jul
inferno13–20.0516%18 Jul
mirage12–12-0.0411%18 Jul
dust213–60.0111%18 Jul
dust213–60.0015%18 Jul
mirage4–130.0516%18 Jul
mirage13–40.0522%18 Jul
dust213–90.0313%18 Jul
dust213–110.0512%18 Jul
mirage13–80.1019%17 Jul
dust212–12-0.0126%17 Jul
mirage11–130.0113%17 Jul
dust28–13-0.0521%17 Jul
ancient2–13-0.0519%16 Jul
dust211–130.0118%16 Jul
dust213–70.0615%16 Jul
dust213–90.0715%15 Jul
dust213–40.0514%15 Jul
mirage12–120.0615%15 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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