Klatre — CS2 Stats

76561198981311912[U:1:1021046184]

2,310Tracked matches45%Win rate2020Tracked since
CSDB Rating6.3 SolidAggressive Rifler
FaceitLevel 10 · 2,112 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKlatreFACEITLevel 10 · 2,112 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning59
Utility45

0–100 skill scores via Leetify.

Recent form

COLD46531Last 10046%Win rateLTWLLLLLWW

Last 10 vs previous 10: -50pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression7.6
Utility4.5
Positioning5.9
Opening Duels5.3
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

ropz

Plays most like ropz 94% 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

Strengths

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 69% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim8.1
Positioning5.9
Utility4.5
Mechanics7.8
Opening Duels5.3
Win Impact3.3

Composite 6.3/10 (Solid), 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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time595ms+65ms
first ⅓ avg 530ms → last ⅓ avg 595ms
Headshot accuracy25.9%+2.8%
first ⅓ avg 23.2% → last ⅓ avg 25.9%

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

0.11Best rating — ancient 16–4
130Biggest win — anubis
6Longest win streak
85In matches decided by ≤2 rounds
41Overtime games

Map breakdown

nukeBest map · 68% over 19mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
anubisB1910953%0.01
nukeS1913668%-0.01
infernoC1971237%-0.02
ancientC1971237%0.00
vertigoD93633%-0.03
mirageD82625%-0.04
overpassS64267%0.00
dust21010%-0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,522Matches
50%Win rate
1.02Avg K/D
77.7ADR
57%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient19341%1.0015.5
Anubis16550%1.0015.6
Nuke15555%1.1016.3
Inferno12752%0.9915.4
Vertigo11248%1.0015.8
Mirage5857%0.9814.6
Dust22850%0.8613.2
Train2162%1.1617.8

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.

26.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.3%Spray accuracy
85.0%Counter-strafing
7.9°Preaim
590msReaction time
33.1%T opening success
69.4%CT opening success
0.58Enemies flashed / flash
3.8%Flash assists
9.51HE damage / grenade
5.34Flashes / 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 33.0672% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–130.0435%18 Aug
nuke15–150.0318%22 Jun
nuke13–60.0737%22 Jun
inferno10–13-0.0030%22 Jun
mirage5–13-0.0234%22 Jun
ancient4–13-0.0327%21 Jun
inferno10–130.0436%20 Jun
mirage9–13-0.0820%20 Jun
nuke13–70.0130%19 Jun
nuke16–14-0.0328%19 Jun
ancient9–13-0.0424%19 Jun
nuke13–8-0.039%18 Jun
overpass13–5-0.066%20 Mar
anubis13–10-0.0122%20 Mar
ancient8–13-0.1031%17 Mar
inferno13–40.0816%16 Mar
anubis13–0-0.0134%15 Mar
nuke13–70.0237%12 Dec
overpass13–60.0429%9 Dec
ancient13–70.0533%8 Dec
nuke13–90.0333%14 Sept
inferno10–130.0222%23 Jun
inferno5–13-0.0921%10 Jun
anubis11–130.0529%6 Jun
anubis7–130.0638%6 Jun
inferno7–13-0.0338%30 May
inferno10–130.0322%2 Jan
vertigo13–7-0.0715%12 Oct
ancient7–130.0424%6 Oct
vertigo7–130.0527%30 Sept
anubis7–13-0.0511%24 Sept
ancient9–13-0.0117%20 Sept
inferno9–13-0.0522%16 Sept
ancient11–13-0.1020%14 Sept
anubis13–30.0622%5 Sept
mirage13–10.0622%1 Sept
inferno13–2-0.0125%1 Sept
ancient13–60.0730%23 Aug
ancient13–80.0646%18 Aug
nuke13–90.0222%18 Aug
ancient6–13-0.0333%16 Aug
vertigo7–130.0329%15 Aug
ancient13–110.0033%8 Aug
vertigo13–40.0528%7 Aug
vertigo13–7-0.0816%6 Aug
inferno8–13-0.0429%6 Aug
nuke6–13-0.1018%1 Aug
nuke8–130.019%1 Aug
ancient8–130.0629%31 Jul
anubis10–13-0.0136%25 Jul
anubis8–13-0.0529%25 Jul
anubis13–90.0522%21 Jul
ancient8–13-0.0334%21 Jul
anubis13–11-0.0221%18 Jul
vertigo4–13-0.1016%15 Jul
anubis13–80.0527%7 Jul
inferno8–13-0.0122%30 Jun
dust25–13-0.1450%30 Jun
inferno13–90.0632%29 Jun
anubis10–13-0.0240%19 Jun
inferno10–16-0.0928%22 Mar
nuke16–70.0325%22 Mar
ancient6–16-0.0324%22 Mar
inferno13–160.0128%22 Mar
ancient16–40.1128%22 Mar
nuke16–130.0121%21 Mar
anubis16–90.0728%21 Mar
mirage14–16-0.0225%12 Mar
mirage11–16-0.0930%8 Mar
nuke13–16-0.0122%7 Mar
mirage16–14-0.0420%7 Mar
nuke16–12-0.0620%7 Mar
anubis7–16-0.0325%6 Mar
ancient12–16-0.0121%6 Mar
vertigo11–16-0.0314%6 Mar
overpass16–110.0323%6 Mar
inferno19–15-0.0151%6 Mar
mirage7–16-0.0528%6 Mar
inferno16–140.0038%6 Mar
inferno16–11-0.0125%6 Mar
nuke8–16-0.0326%6 Mar
anubis6–160.0330%6 Mar
anubis16–130.0426%6 Mar
overpass14–16-0.0216%5 Mar
inferno1–7-0.150%5 Mar
ancient11–160.0021%5 Mar
vertigo16–19-0.0314%5 Mar
inferno16–14-0.0430%5 Mar
nuke13–16-0.0916%4 Mar
mirage15–19-0.0425%4 Mar
nuke16–14-0.0323%4 Mar
anubis16–14-0.0629%4 Mar
overpass9–160.0519%4 Mar
overpass16–7-0.0113%3 Mar
nuke16–10-0.0212%3 Mar
ancient16–70.0327%3 Mar
anubis16–90.0029%3 Mar
ancient16–11-0.0127%3 Mar
vertigo14–16-0.0722%3 Mar
nuke16–100.0018%2 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →