loco

loco — CS2 Stats

76561199045220363[U:1:1084954635]Steam profile ↗✓ No bans

2,134Tracked matches34%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating4,764Grey band · top ~79.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,764 +64 29 May – 29 Oct · 31 days played
3,5395,808peak 5,80829 May29 Oct
6,117Peak Premier in tracked matches
42Days played since 2026-05-29

Premier CS Rating

  • 1,044 below peak (5,808)
  • -697 over 30 days · declining
  • Next: Light Blue band at 5,000 — 236 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGlocoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,764 · Grey bandcsdb.gg/stats

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Performance scores

Aim55
Positioning46
Utility59

0–100 skill scores via Leetify.

Recent form

COLD35–59–6Last 10035%Win rateLLWLWLLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · −80ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 556ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 566ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

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 (+1.5 against its own average).

Aim5.5
Utility5.9
Positioning4.6
Opening Duels2.7

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 601ms 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

Aim5.5
Positioning4.6
Utility5.9
Mechanics7.1
Opening Duels4.0
Win Impact0.0

Composite 4.4/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time605ms−67ms
first ⅓ avg 672ms → last ⅓ avg 605ms
Headshot accuracy9.2%+0.2%
first ⅓ avg 9.0% → last ⅓ avg 9.2%

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

0.30Best match rating · 9–1 · vertigo, 6 Oct →
24%Best headshot accuracy · 9–13 · mirage, 20 Jul →
406msFastest reaction time · 10–13 · inferno, 3 Oct →
13–2Biggest win · ancient, 26 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
6–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 63% over 8dust2Weakest map · 7% over 15
MapGradePlayedRecordWin rateAvg rating
dust2D151–147%-0.04
nukeC156–940%-0.02
mirageD155–1033%-0.01
anubisC146–843%-0.03
infernoC145–936%0.02
cacheB136–746%-0.02
ancientA85–363%-0.02
vertigo—31–233%0.01
overpass—20–20%-0.00
poseidon—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.0%Spray accuracy
81.7%Counter-strafing
10.5°Preaim
601msReaction time
50.5%T opening success
41.2%CT opening success
0.60Enemies flashed / flash
5.4%Flash assists
9.42HE damage / grenade
9.98Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.3851% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.016%29 Oct →
dust29–13-0.047%29 Oct →
cache13–7-0.059%29 Oct →
nuke12–16-0.0610%29 Oct →
ancient13–9-0.043%24 Oct →
cache9–13-0.0315%24 Oct →
dust27–13-0.0411%24 Oct →
anubis13–8-0.0311%24 Oct →
anubis5–13-0.0010%23 Oct →
nuke4–13-0.0814%23 Oct →
nuke15–15-0.0613%23 Oct →
anubis13–9-0.0710%23 Oct →
dust210–13-0.039%21 Oct →
mirage8–13-0.035%21 Oct →
vertigo2–9-0.1212%19 Oct →
nuke7–9-0.037%19 Oct →
mirage13–10-0.0311%19 Oct →
anubis13–11-0.064%16 Oct →
dust23–13-0.0721%16 Oct →
mirage9–13-0.056%16 Oct →
cache10–13-0.029%16 Oct →
mirage10–130.038%16 Oct →
dust25–13-0.0810%6 Oct →
mirage13–3-0.058%6 Oct →
vertigo9–10.305%6 Oct →
overpass8–80.038%6 Oct →
inferno8–80.067%6 Oct →
nuke13–7-0.004%5 Oct →
inferno10–130.0418%3 Oct →
nuke3–13-0.047%3 Oct →
nuke8–13-0.0412%3 Oct →
cache16–120.036%3 Oct →
cache10–13-0.0010%2 Oct →
dust213–8-0.0611%2 Oct →
mirage6–13-0.028%1 Oct →
inferno16–120.0210%1 Oct →
mirage14–160.0112%30 Sept →
nuke13–30.035%28 Sept →
inferno13–50.048%26 Sept →
cache13–9-0.059%26 Sept →
anubis15–150.0310%11 Sept →
ancient11–13-0.062%11 Sept →
mirage16–140.026%11 Sept →
cache5–13-0.0718%11 Sept →
inferno6–13-0.0311%5 Sept →
nuke11–13-0.034%5 Sept →
dust210–13-0.059%5 Sept →
inferno13–50.0414%2 Sept →
inferno13–30.0811%30 Aug →
nuke13–4-0.0211%30 Aug →
mirage11–130.026%26 Aug →
anubis9–13-0.093%26 Aug →
dust212–16-0.007%26 Aug →
ancient13–2-0.048%26 Aug →
dust26–13-0.044%26 Aug →
ancient13–11-0.038%24 Aug →
cache13–11-0.0511%24 Aug →
mirage13–10-0.0515%20 Aug →
dust25–13-0.106%22 Jul →
anubis8–13-0.055%22 Jul →
nuke13–10-0.0322%21 Jul →
cache13–11-0.029%20 Jul →
mirage9–13-0.0224%20 Jul →
anubis8–13-0.059%17 Jul →
mirage9–130.0219%16 Jul →
vertigo3–9-0.143%16 Jul →
dust27–13-0.028%15 Jul →
nuke2–13-0.0013%15 Jul →
ancient13–90.069%14 Jul →
inferno13–11-0.0311%14 Jul →
cache13–8-0.0011%12 Jul →
cache12–12-0.019%7 Jul →
mirage16–12-0.0112%30 Jun →
dust28–13-0.0014%30 Jun →
dust212–16-0.025%30 Jun →
anubis13–8-0.016%16 Jun →
anubis13–7-0.014%16 Jun →
anubis3–13-0.0719%13 Jun →
inferno10–13-0.029%13 Jun →
inferno7–13-0.026%12 Jun →
anubis13–60.037%11 Jun →
inferno10–130.018%7 Jun →
anubis11–130.028%7 Jun →
dust213–16-0.0312%5 Jun →
inferno7–13-0.029%5 Jun →
overpass13–16-0.038%5 Jun →
mirage9–13-0.029%4 Jun →
nuke13–100.036%4 Jun →
anubis7–13-0.066%4 Jun →
inferno14–160.0115%4 Jun →
inferno8–80.049%4 Jun →
nuke9–13-0.017%1 Jun →
ancient10–20.038%1 Jun →
mirage8–130.1013%31 May →
ancient6–13-0.048%30 May →
nuke13–10-0.0413%30 May →
dust27–13-0.028%29 May →
cache7–13-0.029%29 May →
ancient6–13-0.044%29 May →
poseidon5–9-0.055%29 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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