Laxity — CS2 Stats

76561198460318029[U:1:500052301]

824Tracked matches67%Win rate2020Tracked since
1,407Hours in CS
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 6 · 1,246 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLaxityFACEITLevel 6 · 1,246 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning42
Utility37

0–100 skill scores via Leetify.

Recent form

HOT54415Last 10054%Win rateWLWWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.07 avg rating

Player DNA

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

Aim8.0
Aggression2.8
Utility3.7
Positioning4.2
Opening Duels0.0
Clutch6.0

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

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 581ms 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

Aim8.0
Positioning4.2
Utility3.7
Mechanics6.5
Opening Duels0.6
Win Impact10.0

Composite 5.2/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time575ms+16ms
first ⅓ avg 559ms → last ⅓ avg 575ms
Headshot accuracy19.1%−3.1%
first ⅓ avg 22.1% → last ⅓ avg 19.1%

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

0.18Best rating — dust2 13–3
131Biggest win — mirage
7Longest win streak
64In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 67% over 39ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S39261367%0.01
mirageA1912763%0.01
infernoC1881044%0.01
cacheB63350%-0.02
ancientD62433%0.00
nuke41325%0.04
anubis31233%0.02
train3030%-0.04
vertigo1010%-0.08
overpass110100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,413Lifetime kills
1.00K/D
3,607Matches
42.8%Match win rate
35.9%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
6,943MVPs
1,407Hours (in match)
4,268Bombs planted
736Bombs defused

Most-used weapons

AK-4717,485
AWP16,853
SSG 081,641
P2501,591
MP91,247

Lifetime map wins

15,717dust2
2,615inferno
498nuke
482train
285vertigo
178cbble
63dust
55office

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

Faceit stats

Combat

286Matches
47%Win rate
1.03Avg K/D
77.7ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8445%1.0715.6
Inferno4751%0.9814.3
Anubis4139%1.0214.8
Dust23644%1.2415.9
Ancient2339%0.9514.9
Vertigo1369%1.1513.5
Nuke560%0.9014.2
Overpass250%0.9413.5

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.

18.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
41.6%Spray accuracy
79.0%Counter-strafing
7.7°Preaim
581msReaction time
21.8%T opening success
34.4%CT opening success
0.48Enemies flashed / flash
4.6%Flash assists
4.76HE damage / grenade
7.90Flashes / 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 0.4797 — 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 21.8029% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0113%30 Jul
cache10–13-0.0216%18 Jul
dust213–30.1821%18 Jul
mirage13–20.0317%18 Jul
nuke13–110.1517%16 Jul
inferno13–9-0.0515%16 Jul
dust213–90.0622%16 Jul
mirage13–10.0813%14 Jul
inferno13–70.0826%14 Jul
anubis13–160.0110%14 Jul
inferno11–130.0629%14 Jul
mirage13–50.0310%3 Jul
dust213–100.0315%3 Jul
dust213–6-0.0231%3 Jul
ancient7–13-0.016%3 Jul
dust22–13-0.078%3 Jul
cache13–70.0020%3 Jul
ancient5–13-0.0511%25 Jun
dust213–2-0.0220%25 Jun
vertigo7–13-0.0810%19 Jun
dust23–13-0.0819%19 Jun
train1–13-0.0638%19 Jun
inferno13–110.0927%19 Jun
mirage13–9-0.0524%19 Jun
dust213–50.0223%19 Jun
mirage13–80.0122%19 Jun
anubis13–7-0.0011%28 May
mirage8–13-0.0323%28 May
dust213–10.0519%25 May
dust213–6-0.0111%25 May
ancient13–10.0322%7 May
cache8–13-0.0336%7 May
cache13–110.0223%2 May
cache13–11-0.0411%2 May
cache7–13-0.0522%2 May
mirage11–13-0.029%7 Feb
mirage13–40.1117%11 Jan
dust25–2-0.0814%10 Jan
dust212–120.0218%10 Dec
inferno4–13-0.0026%10 Dec
mirage9–13-0.0611%10 Dec
dust26–13-0.0616%4 Dec
anubis7–130.0527%25 Nov
dust25–130.0144%25 Nov
dust213–40.1326%12 Nov
dust213–70.1025%11 Nov
dust213–90.0214%7 Nov
dust25–13-0.0623%7 Nov
mirage13–30.0133%5 Nov
ancient15–15-0.0128%3 Nov
dust213–5-0.0217%3 Nov
inferno8–13-0.0517%29 Oct
inferno13–20.0722%29 Oct
train12–12-0.0713%29 Oct
inferno11–13-0.0422%21 Oct
dust213–100.0114%21 Oct
nuke5–13-0.0226%20 Oct
ancient13–10.0723%20 Oct
dust26–13-0.0416%20 Oct
dust213–30.0323%16 Oct
dust213–60.0724%15 Oct
dust213–6-0.070%15 Oct
dust213–80.0029%14 Oct
overpass13–110.0221%10 Oct
mirage13–3-0.0019%10 Oct
dust27–130.0022%10 Oct
mirage5–130.0116%9 Oct
train7–130.0223%27 Sept
dust213–50.0736%27 Sept
dust213–10-0.0529%27 Sept
inferno5–13-0.0118%27 Sept
dust216–12-0.0221%27 Sept
inferno13–5-0.0125%19 Sept
dust213–50.0621%19 Sept
dust213–60.027%12 Sept
inferno8–130.0228%7 Sept
dust213–70.0123%7 Sept
mirage13–20.0350%5 Sept
dust212–12-0.0439%5 Sept
inferno10–130.097%4 Sept
dust215–15-0.0525%3 Sept
mirage9–13-0.0316%3 Sept
ancient5–13-0.0217%25 Aug
mirage13–40.0224%25 Aug
mirage6–130.0017%23 Aug
dust26–130.0030%23 Aug
mirage13–70.0415%20 Aug
inferno8–13-0.0120%15 Aug
nuke2–13-0.0217%15 Aug
nuke6–130.0426%15 Aug
dust213–11-0.0114%15 Aug
inferno14–16-0.0512%13 Aug
inferno8–13-0.0136%13 Aug
dust29–130.0623%12 Aug
inferno13–8-0.027%11 Aug
dust25–13-0.0219%11 Aug
mirage5–13-0.067%6 Aug
mirage13–60.0835%6 Aug
inferno13–90.0025%5 Aug
inferno13–4-0.0220%5 Aug

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 →