KamlotS

KamlotS — CS2 Stats

PL76561198298413153[U:1:338147425]Steam profile ↗✓ No bans

787Tracked matches38%Win rate2021Tracked since
CSDB Rating3.9 LearningPassive Rifler
Premier CS Rating18,538Purple band · top ~14.3% of ranked players (population est.)
CSDB Leaderboard#21415 of 45912 tracked
FaceitLevel 7 · 1,384 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKamlotSFACEITLevel 7 · 1,384 ELOSTANDINGTop 42.3% of rankedPREMIER18,538 · Purple bandcsdb.gg/stats

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Performance scores

Aim60
Positioning30
Utility22

0–100 skill scores via Leetify.

Recent form

COLD41554Last 10041%Win rateLLLLLWWWLL

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

Player DNA

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

Aim6.0
Aggression1.3
Utility2.2
Positioning3.0
Opening Duels0.0
Clutch2.2

Limited 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.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: opening-duel success, 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

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

Reaction time. 657ms 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

Aim6.0
Positioning3.0
Utility2.2
Mechanics7.3
Opening Duels0.0
Win Impact1.0

Composite 3.9/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time659ms−77ms
first ⅓ avg 736ms → last ⅓ avg 659ms
Headshot accuracy18.4%−7.1%
first ⅓ avg 25.5% → last ⅓ avg 18.4%

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

0.09Best rating — mirage 13–8
131Biggest win — mirage
5Longest win streak
L5Current streak
97In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 63% over 8anubisWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB31151648%-0.01
nukeC167944%-0.03
ancientC146843%-0.02
anubisD111109%-0.05
dust2C94544%-0.02
cacheA85363%-0.03
infernoD51420%-0.06
vertigo3030%-0.03
fachwerk110100%-0.02
train1010%0.01
overpass110100%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

670Matches
50%Win rate
0.87Avg K/D
67.6ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage21056%0.9212.9
Anubis12447%0.8112.5
Ancient8944%0.7812.7
Dust28337%0.9013.6
Vertigo5151%0.7511.3
Inferno4858%0.9313.2
Nuke4040%0.9113.6
Train1662%0.9915.0

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.

18.0%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.8%Spray accuracy
83.0%Counter-strafing
10.7°Preaim
657msReaction time
21.1%T opening success
30.3%CT opening success
0.28Enemies flashed / flash
2.8%Flash assists
10.08HE damage / grenade
1.32Flashes / 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 0.2774 — 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 21.0583% — below the 40% mark we flag

Spend your practice time on Anubis

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–130.0522%30 Aug
anubis5–13-0.078%29 Aug
mirage3–9-0.0313%29 Aug
anubis5–13-0.0711%28 Aug
nuke11–13-0.068%28 Aug
mirage13–11-0.0413%23 Aug
ancient13–2-0.0315%23 Aug
fachwerk13–10-0.0213%23 Aug
vertigo11–13-0.0918%22 Aug
nuke1–13-0.0823%22 Aug
cache13–10-0.0311%22 Aug
mirage3–130.0011%21 Aug
anubis0–13-0.0921%21 Aug
ancient4–13-0.069%21 Aug
vertigo2–13-0.0833%19 Aug
cache13–60.0224%19 Aug
nuke13–10-0.0428%18 Aug
anubis13–10-0.0430%17 Aug
mirage13–10.0224%14 Aug
cache5–13-0.0513%13 Aug
nuke13–4-0.0216%12 Aug
dust20–8-0.060%12 Aug
mirage13–100.0027%12 Aug
train5–130.0129%12 Aug
dust29–13-0.0235%10 Aug
mirage3–13-0.0228%5 Aug
anubis15–15-0.0315%5 Aug
nuke11–13-0.0112%4 Aug
inferno13–7-0.073%4 Aug
cache8–13-0.0722%2 Aug
mirage13–20.0842%2 Aug
mirage13–5-0.0013%2 Aug
nuke3–130.0018%29 Jul
nuke1–8-0.090%29 Jul
ancient13–6-0.069%29 Jul
dust213–60.0420%28 Jul
mirage10–13-0.0115%28 Jul
mirage13–30.0720%28 Jul
mirage13–11-0.0118%28 Jul
cache13–11-0.0132%28 Jul
mirage13–11-0.0423%28 Jul
nuke13–30.0218%28 Jul
ancient4–130.0516%28 Jul
mirage15–150.0418%28 Jul
ancient13–3-0.0315%26 Jul
mirage13–10.0450%26 Jul
anubis11–13-0.0420%26 Jul
mirage10–130.0125%25 Jul
mirage14–16-0.0213%22 Jul
nuke6–13-0.0216%21 Jul
ancient4–13-0.0733%20 Jul
cache13–10-0.0138%18 Jul
mirage16–130.0122%17 Jul
ancient13–11-0.0813%17 Jul
dust213–4-0.0626%15 Jul
vertigo12–120.0811%12 Jul
mirage5–13-0.077%12 Jul
inferno3–13-0.1321%12 Jul
mirage8–130.0342%10 Jul
ancient13–60.0513%10 Jul
ancient5–13-0.0126%9 Jul
ancient13–16-0.0416%10 Jun
mirage13–80.0925%10 Jun
nuke8–13-0.0627%2 Jun
nuke13–1-0.0623%28 May
nuke10–130.0022%28 May
nuke13–110.0130%28 May
inferno4–9-0.1133%28 May
inferno5–130.0325%26 May
nuke13–16-0.0118%25 May
overpass13–4-0.0444%22 May
ancient9–13-0.0328%22 May
dust26–13-0.0538%22 May
anubis2–13-0.0423%21 May
ancient6–130.0714%20 May
anubis5–13-0.0124%20 May
mirage11–6-0.0224%14 May
mirage13–6-0.0425%7 May
ancient5–13-0.0620%7 May
ancient13–8-0.0338%6 May
inferno1–13-0.0350%6 May
nuke13–10-0.0528%5 May
cache13–11-0.0323%1 May
cache8–13-0.0524%29 Apr
dust213–9-0.0531%23 Apr
anubis8–13-0.0821%19 Apr
mirage14–16-0.0633%19 Apr
anubis3–13-0.0022%17 Apr
mirage7–13-0.1245%17 Apr
mirage4–130.0118%11 Apr
dust28–7-0.0028%11 Apr
anubis6–13-0.095%11 Apr
mirage5–13-0.0911%9 Apr
mirage9–13-0.0722%9 Apr
mirage15–15-0.0120%8 Apr
dust213–16-0.0626%8 Apr
mirage13–9-0.0629%8 Apr
mirage16–140.0116%7 Apr
nuke13–7-0.0226%1 Apr
mirage14–16-0.1010%28 Mar

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 →