LMแซมบา

LMแซมบา — CS2 Stats

HM76561198158331285[U:1:198065557]Steam profile ↗✓ No bans

578Tracked matches50%Win rate2023Tracked since
604Hours in CS1Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 22 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,000 +227 22 Apr4 Jul · 32 days played
12,68016,578peak 16,57822 Apr4 Jul
16,722Peak Premier in tracked matches
36Days played since 2026-04-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=11,606), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate51.8%43.8%44.9%above
Shot accuracy3.5%12.0%12.4%8.9% short
Kill/death ratio0.861.021.040.18 short
Match win rate45.1%44.7%45.3%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLMแซมบาFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY44515Last 10044%Win rateWWLLTLLWLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · −41ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 629ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 634ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 655ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim6.3
Utility3.9
Positioning4.8
Opening Duels2.4
Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 660ms 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

Aim6.3
Positioning4.8
Utility3.9
Mechanics6.6
Opening Duels1.9
Win Impact5.0

Composite 5.1/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time659ms−26ms
first ⅓ avg 685ms → last ⅓ avg 659ms
Headshot accuracy21.8%−0.9%
first ⅓ avg 22.7% → last ⅓ avg 21.8%

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.

Personal bests

0.15Best match rating · 13–6 · dust2, 25 Apr
48%Best headshot accuracy · 13–3 · mirage, 2 Jun
422msFastest reaction time · 0–13 · dust2, 29 May
13–2Biggest win · mirage, 13 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
79In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 80% over 5anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB34171750%-0.00
dust2C34151944%-0.01
infernoC125742%-0.03
anubisD71614%-0.05
ancientS54180%-0.01
cache41325%-0.02
nuke31233%0.01
overpass1010%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,251Lifetime kills
0.86K/D
762Matches
45.1%Match win rate · Top 50% of Level 5 players
51.8%Headshot % · Top 25% of Level 5 players
3.5%Shot accuracy
1,454MVPs
284Hours (in match)
459Bombs planted
137Bombs defused

Most-used weapons

Lifetime map wins

2,447dust2
869inferno
279nuke
40vertigo
18office
16assault
11train
9italy

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

Faceit stats

Combat

46Matches
50%Win rate
0.81Avg K/D
66.1ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21464%0.7812.6
Mirage1436%0.6911.8
Anubis540%0.8714.8
Ancient560%1.0915.2
Inferno425%0.8813.0
Cache475%0.8414.3

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.

22.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.0%Spray accuracy
79.7%Counter-strafing
9.4°Preaim
660msReaction time
36.5%T opening success
38.4%CT opening success
0.52Enemies flashed / flash
5.0%Flash assists
5.64HE damage / grenade
5.90Flashes / 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. 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 36.5053% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–50.0124%13 Sept
mirage13–20.0327%13 Sept
inferno3–13-0.0010%17 Aug
mirage11–13-0.0422%4 Jul
anubis15–150.0231%2 Jul
mirage7–13-0.066%1 Jul
dust22–13-0.0621%1 Jul
ancient13–110.0219%1 Jul
mirage11–13-0.0033%1 Jul
inferno13–9-0.0210%30 Jun
dust216–140.0326%30 Jun
dust213–50.0737%22 Jun
dust213–6-0.0512%22 Jun
mirage13–7-0.0317%19 Jun
dust23–13-0.0921%19 Jun
dust215–15-0.0417%19 Jun
dust211–130.0139%17 Jun
nuke13–16-0.0112%16 Jun
mirage13–90.0311%12 Jun
ancient13–7-0.0114%12 Jun
inferno13–10-0.0929%12 Jun
dust29–130.0419%6 Jun
mirage5–130.0113%6 Jun
mirage13–70.0437%2 Jun
mirage13–30.1348%2 Jun
anubis6–13-0.0328%2 Jun
mirage13–80.1225%2 Jun
anubis9–13-0.0514%1 Jun
dust23–13-0.0130%1 Jun
mirage10–130.0125%1 Jun
nuke11–13-0.0312%31 May
anubis6–13-0.110%31 May
dust28–13-0.0529%31 May
mirage13–8-0.0122%30 May
mirage13–60.0526%30 May
dust25–13-0.086%30 May
inferno4–13-0.1216%30 May
mirage7–13-0.0230%30 May
mirage8–13-0.0517%30 May
mirage11–13-0.0720%29 May
anubis7–13-0.0711%29 May
dust20–130.0114%29 May
inferno5–13-0.0338%27 May
cache12–12-0.0525%27 May
anubis13–8-0.0421%27 May
dust27–13-0.0811%27 May
mirage8–13-0.0116%27 May
dust25–13-0.0520%27 May
mirage8–13-0.0719%26 May
inferno3–130.007%24 May
dust28–13-0.0422%24 May
mirage13–9-0.0415%21 May
inferno13–9-0.0123%21 May
dust213–10-0.0128%18 May
dust214–16-0.0313%13 May
mirage10–130.0323%13 May
dust211–13-0.0830%13 May
dust25–13-0.058%13 May
mirage10–13-0.0721%12 May
dust213–20.038%12 May
mirage16–14-0.0419%12 May
dust213–10-0.0815%12 May
dust23–13-0.1417%12 May
dust213–100.0325%12 May
anubis3–13-0.0339%11 May
mirage13–30.0416%11 May
mirage15–150.0229%11 May
mirage13–100.0017%11 May
inferno10–13-0.0919%9 May
mirage8–13-0.0318%9 May
ancient7–13-0.0922%9 May
mirage6–13-0.0426%9 May
dust213–8-0.0126%9 May
nuke13–30.0743%8 May
ancient13–20.1019%6 May
ancient13–9-0.0931%29 Apr
cache13–8-0.0125%29 Apr
mirage7–13-0.0717%29 Apr
mirage5–13-0.0813%29 Apr
mirage16–13-0.0320%29 Apr
dust25–13-0.0219%29 Apr
cache12–12-0.0134%29 Apr
cache10–130.0121%29 Apr
dust29–13-0.0117%28 Apr
dust213–110.0021%28 Apr
overpass11–130.0222%27 Apr
dust213–50.079%26 Apr
mirage13–30.0116%25 Apr
mirage16–12-0.0418%25 Apr
mirage13–50.0927%25 Apr
dust213–60.1518%25 Apr
dust216–140.0227%25 Apr
dust216–140.0225%24 Apr
inferno8–130.0624%24 Apr
dust213–9-0.0327%24 Apr
inferno9–13-0.0521%23 Apr
dust214–160.0234%22 Apr
mirage13–90.0724%22 Apr
inferno13–90.0420%22 Apr
dust216–140.0326%22 Apr

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 →