los plebes

los plebes — CS2 Stats

DK76561198849490134[U:1:889224406]Steam profile ↗✓ No bans

334Tracked matches53%Win rate2020Tracked since
2,003Hours in CS11Hrs last 2 wks
CSDB Rating3.8 LearningSupport
FaceitLevel 5 · 1,092 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,880 +245 7 Sept – 16 Jan · 13 days played
9,63510,629peak 10,6297 Sept16 Jan
10,629Peak Premier in tracked matches
1,092Highest Faceit ELO seen on CSDB
75Days played since 2021-09-05

Faceit ELO

  • At peak — 1,092
  • Next: Level 6 at 1,201 — 109 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 rate38.0%43.8%44.8%6.8% short
Shot accuracy13.4%12.0%12.4%above
Kill/death ratio0.981.021.030.06 short
Match win rate23.0%44.7%45.2%22.2% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGlos plebesFACEITLevel 5 · 1,092 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,092csdb.gg/stats

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Performance scores

Aim50
Positioning34
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWWWWLLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.5pp headshot accuracy · −97ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 516ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 515ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim5.0
Utility4.1
Positioning3.4
Opening Duels0.8
Clutch2.8

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.

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 584ms 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

Aim5.0
Positioning3.4
Utility4.1
Mechanics5.2
Opening Duels0.0
Win Impact6.1

Composite 3.8/10 (Learning), 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 rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time578ms−66ms
first ⅓ avg 644ms → last ⅓ avg 578ms
Headshot accuracy17.6%+3.9%
first ⅓ avg 13.7% → last ⅓ avg 17.6%

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

0.17Best match rating · 9–7 · inferno, 16 Nov →
43%Best headshot accuracy · 3–13 · ancient, 7 Sept →
391msFastest reaction time · 13–9 · inferno, 29 Sept →
16–0Biggest win · inferno, 6 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

overpassBest map · 60% over 15ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%0.01
nukeC156–940%-0.02
overpassA159–660%-0.01
mirageA159–660%-0.01
ancientC83–538%0.01
dust2C83–538%-0.04
cache—43–175%-0.02
vertigo—41–325%-0.06
anubis—31–233%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,205Lifetime kills
0.98K/D
8,326Matches
23.0%Match win rate
38.0%Headshot %
13.4%Shot accuracy · Top 50% of Level 5 players
11,927MVPs
822Hours (in match)
2,210Bombs planted
628Bombs defused

Most-used weapons

AK-4712,249
AWP7,406
Knife1,306
AUG922
MP9854

Lifetime map wins

4,205inferno
1,553dust2
1,345nuke
1,319vertigo
766train
390cbble
143lake
126safehouse

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

Faceit stats

Combat

348Matches
50%Win rate
0.86Avg K/D
74.8ADR
47%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis6846%0.7513.6
Inferno6152%0.8615.2
Nuke4953%0.9013.5
Dust24544%0.8513.7
Mirage3554%0.9214.0
Cache2854%0.8112.4
Ancient2861%1.1214.5
Overpass1547%0.8715.3

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.

17.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.7%Spray accuracy
73.3%Counter-strafing
11.1°Preaim
584msReaction time
27.6%T opening success
29.9%CT opening success
0.49Enemies flashed / flash
4.1%Flash assists
10.47HE damage / grenade
4.56Flashes / 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 0.4895 — 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 27.5832% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0217%21 Oct →
inferno13–9-0.0123%29 Sept →
inferno16–12-0.0018%28 Sept →
cache13–6-0.0011%21 Aug →
dust213–60.0224%21 Aug →
ancient6–13-0.0215%20 Aug →
inferno11–130.0010%16 Aug →
nuke7–13-0.0412%15 Aug →
vertigo13–7-0.0712%15 Aug →
nuke8–13-0.0212%12 Aug →
nuke13–8-0.0514%11 Aug →
cache22–19-0.0411%16 Jul →
dust211–13-0.058%15 Jul →
cache13–90.0414%15 Jul →
dust213–10-0.0412%5 Jul →
cache0–13-0.0614%5 Jul →
overpass13–11-0.0719%2 Jul →
nuke13–100.0532%30 Jun →
nuke7–13-0.0127%29 Jun →
overpass10–13-0.0327%24 Jun →
inferno7–13-0.0727%16 Jun →
overpass13–50.0519%10 Jun →
overpass13–8-0.008%5 Jun →
inferno9–13-0.0816%3 Jun →
inferno9–60.0819%3 Jun →
overpass19–150.0113%1 Jun →
dust213–6-0.0028%30 May →
mirage2–13-0.0919%30 May →
overpass13–90.0127%29 May →
anubis10–13-0.0722%24 May →
nuke4–9-0.137%10 May →
dust211–13-0.0918%24 Apr →
nuke7–13-0.0429%24 Apr →
anubis13–11-0.0516%22 Apr →
vertigo7–9-0.193%6 Apr →
mirage13–9-0.0023%6 Apr →
nuke13–10-0.0813%31 Mar →
mirage11–13-0.1030%31 Mar →
dust21–13-0.0316%31 Mar →
ancient13–50.0015%30 Mar →
inferno11–13-0.0413%30 Mar →
anubis4–13-0.0810%15 Mar →
overpass9–2-0.0113%18 Feb →
dust26–13-0.1016%30 Jan →
inferno6–130.0117%16 Jan →
mirage13–9-0.0524%4 Jan →
ancient7–130.0615%23 Dec →
nuke10–13-0.0011%23 Dec →
nuke13–5-0.0311%20 Dec →
mirage13–10-0.046%19 Dec →
ancient13–100.0313%16 Dec →
nuke6–130.0316%16 Dec →
overpass5–13-0.017%15 Dec →
inferno13–11-0.0313%15 Dec →
inferno13–90.0313%8 Dec →
ancient13–10-0.0218%8 Dec →
nuke9–30.1011%8 Dec →
inferno9–70.0226%4 Dec →
ancient12–120.1115%1 Dec →
overpass13–70.0716%1 Dec →
mirage13–50.1214%1 Dec →
mirage13–100.019%29 Nov →
inferno10–130.0612%29 Nov →
vertigo6–90.0022%27 Nov →
nuke13–60.1214%26 Nov →
inferno13–9-0.0111%18 Nov →
inferno7–130.057%17 Nov →
inferno9–70.1720%16 Nov →
mirage8–130.0321%14 Nov →
inferno9–30.0816%9 Nov →
mirage9–130.018%26 Oct →
inferno11–130.0512%2 Oct →
inferno8–8-0.0410%27 Sept →
inferno9–4-0.017%21 Sept →
overpass4–9-0.160%18 Sept →
inferno13–100.0218%16 Sept →
inferno5–90.1211%15 Sept →
mirage13–90.0113%7 Sept →
ancient3–13-0.0543%7 Sept →
inferno13–110.0412%4 Sept →
dust213–16-0.0015%31 Aug →
overpass13–50.0314%27 Aug →
mirage13–40.0613%26 Aug →
mirage0–9-0.037%21 Dec →
inferno3–13-0.0022%14 Dec →
mirage13–7-0.0116%11 Dec →
mirage8–00.028%11 Dec →
overpass11–160.0211%13 Jan →
mirage15–15-0.0817%4 Jan →
nuke1–16-0.117%2 Jan →
inferno3–9-0.1225%29 Dec →
overpass4–16-0.035%9 Sept →
vertigo8–160.0015%8 Sept →
overpass12–16-0.025%7 Sept →
overpass16–7-0.008%7 Sept →
inferno7–16-0.008%7 Sept →
inferno16–0-0.0633%6 Sept →
nuke7–16-0.057%6 Sept →
inferno10–16-0.0014%5 Sept →
inferno16–30.1010%5 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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