LOCO POCO

LOCO POCO — CS2 Stats

PM76561198827401673[U:1:867135945]Steam profile ↗✓ No bans

273Tracked matches30%Win rate2023Tracked since
158Hours in CS
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating1,560Grey band · top ~93.4% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (27 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: 1,560 -1,972 17 Jul – 18 Oct · 15 days played
1,0654,275peak 4,27517 Jul18 Oct
4,275Peak Premier in tracked matches
40Days played since 2026-07-13

Premier CS Rating

  • 2,715 below peak (4,275)
  • -1,988 over 90 days
  • Next: Light Blue band at 5,000 — 3,440 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate39.7%38.2%39.9%meets
Shot accuracy5.0%3.6%7.0%2.0% short
Kill/death ratio1.240.830.92above
Match win rate49.5%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGLOCO POCOPREMIER1,560 · Grey bandcsdb.gg/stats

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Performance scores

Aim60
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateWLWLWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.05 avg rating · +1.5pp headshot accuracy · −38ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 16%
  • Avg reaction 705ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 682ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 701ms

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 Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim6.0
Utility3.6
Positioning5.3
Opening Duels0.5

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

iM

Plays most like iM 89% 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

CT openings. Opening success drops from 50% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 642ms 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
Positioning5.3
Utility3.6
Mechanics5.2
Opening Duels2.4
Win Impact0.0

Composite 4.0/10 (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-0.00−0.05
first ⅓ avg 0.04 → last ⅓ avg -0.00
Reaction time655ms+26ms
first ⅓ avg 629ms → last ⅓ avg 655ms
Headshot accuracy15.1%−3.3%
first ⅓ avg 18.4% → last ⅓ avg 15.1%

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

0.24Best match rating · 6–13 · anubis, 15 Oct →
100%Best headshot accuracy · 0–4 · dust2, 24 Jul →
453msFastest reaction time · 6–13 · anubis, 24 Jul →
13–0Biggest win · vertigo, 23 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 65% over 26officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeS2617–965%0.04
dust2D164–1225%0.01
infernoB137–654%0.04
ancientC125–742%0.01
cacheD82–625%-0.02
mirageB84–450%0.03
vertigoB63–350%0.01
officeD51–420%0.01
anubis—31–233%0.09
shelter—10–10%0.01
eldorado—10–10%-0.06
overpass—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

7,045Lifetime kills
1.24K/D · Top 5% of Grey band
471Matches
49.5%Match win rate · Top 5% of Grey band
39.7%Headshot % · Top 50% of Grey band
5.0%Shot accuracy · Top 50% of Grey band
1,279MVPs
158Hours (in match)
411Bombs planted
116Bombs defused

Most-used weapons

Lifetime map wins

634inferno
627dust2
602nuke
377vertigo
86office
79cbble
63train
30lake

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

Skill profile

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

15.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
40.0%Spray accuracy
73.4%Counter-strafing
9.4°Preaim
642msReaction time
49.6%T opening success
26.9%CT opening success
0.50Enemies flashed / flash
11.1%Flash assists
4.65HE damage / grenade
5.13Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.9341% — below the 40% mark we flag

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.

25% win rate across 16 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
cache6–1-0.010%18 Oct →
anubis6–130.2433%15 Oct →
inferno13–80.0119%14 Oct →
cache10–130.0314%14 Oct →
cache10–30.0313%11 Oct →
dust25–130.0614%11 Oct →
cache3–90.0119%10 Oct →
ancient3–13-0.0213%10 Oct →
cache9–130.0418%10 Oct →
office2–12-0.060%29 Sept →
ancient13–70.0310%29 Sept →
cache1–13-0.1113%29 Sept →
nuke13–10-0.0117%29 Sept →
dust22–13-0.049%27 Sept →
vertigo13–5-0.0415%27 Sept →
nuke9–70.1222%24 Sept →
nuke9–60.025%24 Sept →
mirage2–13-0.0616%24 Sept →
ancient9–13-0.0522%15 Sept →
office0–9-0.070%14 Sept →
vertigo1–13-0.0836%6 Sept →
office3–130.0321%6 Sept →
cache4–13-0.0811%4 Sept →
mirage2–11-0.024%31 Aug →
shelter2–50.0133%25 Aug →
dust213–50.1417%17 Aug →
dust28–13-0.0517%16 Aug →
ancient10–130.0520%16 Aug →
ancient5–130.0024%15 Aug →
dust24–6-0.070%14 Aug →
ancient13–7-0.0614%12 Aug →
dust213–4-0.0416%12 Aug →
dust24–13-0.0313%12 Aug →
ancient1–130.0220%10 Aug →
dust210–13-0.0111%10 Aug →
inferno11–40.1819%9 Aug →
anubis13–60.1415%9 Aug →
nuke3–90.029%7 Aug →
nuke7–9-0.0417%7 Aug →
nuke1–9-0.1213%7 Aug →
eldorado3–9-0.068%7 Aug →
nuke9–50.1311%6 Aug →
nuke9–40.1026%6 Aug →
ancient2–13-0.0321%5 Aug →
nuke9–10.0514%5 Aug →
nuke9–20.067%4 Aug →
nuke9–50.1924%4 Aug →
nuke4–90.0423%4 Aug →
nuke8–8-0.106%2 Aug →
ancient13–110.0118%2 Aug →
vertigo13–70.0321%2 Aug →
vertigo12–120.0815%2 Aug →
overpass3–110.0419%1 Aug →
vertigo4–13-0.030%1 Aug →
dust25–130.0414%31 Jul →
ancient16–140.0325%28 Jul →
inferno11–130.0514%26 Jul →
nuke8–130.0216%26 Jul →
nuke9–40.2231%26 Jul →
nuke9–70.0514%26 Jul →
anubis6–13-0.1111%24 Jul →
mirage7–13-0.0119%24 Jul →
dust20–40.05100%24 Jul →
inferno11–13-0.0123%23 Jul →
vertigo13–00.0750%23 Jul →
inferno3–40.0310%20 Jul →
dust26–13-0.0521%20 Jul →
dust22–13-0.098%19 Jul →
ancient2–130.0631%19 Jul →
nuke15–150.0628%19 Jul →
inferno5–130.0426%19 Jul →
ancient7–00.0733%19 Jul →
inferno16–120.0525%18 Jul →
inferno13–4-0.0416%18 Jul →
mirage4–13-0.020%18 Jul →
mirage13–90.1520%18 Jul →
dust213–70.2320%18 Jul →
nuke10–50.1323%18 Jul →
dust28–13-0.0320%18 Jul →
inferno13–50.0718%18 Jul →
mirage16–130.0926%17 Jul →
nuke13–7-0.0325%17 Jul →
nuke15–150.0413%17 Jul →
dust213–30.0215%17 Jul →
nuke13–3-0.019%16 Jul →
inferno6–130.0214%16 Jul →
inferno13–100.0312%16 Jul →
mirage13–30.0325%15 Jul →
mirage13–40.067%15 Jul →
nuke13–70.0311%15 Jul →
dust26–130.0910%15 Jul →
inferno13–60.0213%14 Jul →
nuke13–110.0317%14 Jul →
inferno11–130.0512%14 Jul →
nuke6–130.0433%14 Jul →
cache6–13-0.0623%14 Jul →
nuke10–20.0322%14 Jul →
nuke13–70.1012%13 Jul →
office7–130.0314%13 Jul →
office13–20.1325%13 Jul →

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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