Koco

Koco — CS2 Stats

MK76561198272198929[U:1:311933201]Steam profile ↗✓ No bans

1,020Tracked matches54%Win rate2020Tracked since
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating20,000Top 50% of 201,122 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79523 of 247982 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,000 → 20,000
+4Tracked matches · now 1,020
−1.7ppWin rate · 55.6% → 53.8%

Rating over time

Premier CS Rating: 20,000 +1,654 25 Feb – 22 Sept · 22 days played
16,44820,000peak 20,00025 Feb22 Sept
20,107Peak Premier in tracked matches
38Days played since 2026-02-25

Premier CS Rating

  • At peak — 20,000
  • +872 over 30 days · improving
  • +3,063 over 90 days
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-22
  • Purple band first seen 2026-08-30

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

Share this profile

CSDB.GGKocoPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning55
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–41–8Last 10051%Win rateWWLTLWWTWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · +21ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 600ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 571ms

Last 20

  • 12–4–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.6 against its own average).

Aim6.9
Utility4.0
Positioning5.5
Opening Duels4.3
Clutch8.0

Limited utility dependenceReliable in 1v1s

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim6.9
Positioning5.5
Utility4.0
Mechanics5.0
Opening Duels3.8
Win Impact6.3

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time562ms−68ms
first ⅓ avg 630ms → last ⅓ avg 562ms
Headshot accuracy22.3%+3.6%
first ⅓ avg 18.7% → last ⅓ avg 22.3%

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

0.31Best match rating · 9–0 · inferno, 27 Feb →
46%Best headshot accuracy · 11–13 · inferno, 23 Aug →
375msFastest reaction time · 2–13 · anubis, 2 Sept →
13–2Biggest win · overpass, 27 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 58% over 12cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%0.02
nukeA148–657%0.01
cacheC135–838%0.00
ancientA127–558%-0.00
vertigoA74–357%0.01
anubisA74–357%-0.01
overpassC73–443%0.03
mirage—41–325%0.02
dust2—31–233%0.02
debris—21–150%-0.04
train—21–150%0.04
eldorado—11–0100%0.21
office—11–0100%0.02
poseidon—10–10%-0.22

Across the last 100 tracked matches.

Faceit stats

Combat

302Matches
52%Win rate
1.06Avg K/D
102.1ADR
40%Headshot %

Clutches & streaks

60%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.2213.5
Dust22100%1.6818.5
Nuke2100%2.0620.5
Inferno2100%1.7424.0
Ancient1100%2.2725.0
Cache10%1.0520.0

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.

22.4%Headshot accuracy
30.3%Accuracy (enemy spotted)
36.6%Spray accuracy
72.6%Counter-strafing
8.9°Preaim
555msReaction time
36.2%T opening success
53.8%CT opening success
0.32Enemies flashed / flash
4.3%Flash assists
11.83HE damage / grenade
4.47Flashes / 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 0.3192 — 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 36.2133% — below the 40% mark we flag

Spend your practice time on Cache

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 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
eldorado9–30.2123%26 Sept →
debris9–20.008%26 Sept →
vertigo11–13-0.0118%23 Sept →
vertigo12–120.0127%23 Sept →
nuke4–13-0.0022%18 Sept →
inferno13–110.0026%18 Sept →
inferno13–4-0.0335%14 Sept →
inferno15–150.0416%5 Sept →
cache13–40.1122%5 Sept →
dust213–80.0625%4 Sept →
inferno13–50.0619%3 Sept →
vertigo13–100.0232%3 Sept →
anubis2–13-0.0419%2 Sept →
inferno13–90.0210%2 Sept →
cache15–15-0.0215%2 Sept →
inferno11–130.0625%31 Aug →
nuke13–100.0217%30 Aug →
office13–110.0211%24 Aug →
vertigo12–120.0628%24 Aug →
vertigo13–7-0.0318%24 Aug →
inferno11–13-0.0246%23 Aug →
inferno5–13-0.0023%23 Aug →
ancient6–130.0227%20 Aug →
anubis13–3-0.0419%20 Aug →
anubis13–80.0118%20 Aug →
inferno13–80.0216%20 Aug →
mirage3–13-0.0821%15 Aug →
ancient13–110.0432%15 Aug →
inferno6–13-0.0312%11 Aug →
inferno8–130.0222%11 Aug →
anubis10–13-0.0122%11 Aug →
cache0–13-0.0538%11 Aug →
nuke13–90.0223%11 Aug →
inferno8–130.0328%11 Aug →
train13–70.0416%11 Aug →
nuke13–40.0518%11 Aug →
ancient13–80.0527%11 Aug →
cache13–100.0821%9 Aug →
anubis6–13-0.0616%9 Aug →
ancient6–13-0.0725%9 Aug →
inferno10–130.0017%9 Aug →
ancient13–3-0.0112%9 Aug →
nuke4–13-0.0529%8 Aug →
inferno6–90.0726%4 Aug →
poseidon0–9-0.220%4 Aug →
debris3–9-0.0724%4 Aug →
vertigo13–60.0415%4 Aug →
inferno13–90.0115%26 Jul →
inferno13–60.0214%26 Jul →
nuke13–100.0117%26 Jul →
cache3–13-0.0333%25 Jul →
cache3–3-0.0640%25 Jul →
cache11–13-0.0417%25 Jul →
inferno3–13-0.0816%25 Jul →
ancient16–14-0.0114%25 Jul →
nuke16–140.0025%24 Jul →
ancient13–60.0032%24 Jul →
cache13–90.0220%19 Jul →
cache13–5-0.0617%19 Jul →
cache11–40.0138%19 Jul →
cache7–130.0216%19 Jul →
train6–130.0436%19 Jul →
dust215–150.0015%2 Jul →
dust28–130.0026%2 Jul →
ancient15–15-0.0132%2 Jul →
inferno13–7-0.0211%2 Jul →
nuke15–15-0.0217%25 Jun →
nuke13–80.0313%25 Jun →
overpass13–100.0525%25 Jun →
overpass5–130.0232%24 Jun →
inferno13–80.0412%11 Jun →
overpass13–10-0.0411%11 Jun →
nuke10–13-0.0022%23 May →
cache12–120.0620%21 May →
nuke16–14-0.0021%21 May →
inferno6–13-0.0019%14 May →
cache9–13-0.0112%14 May →
mirage10–130.1121%14 May →
ancient0–13-0.0313%14 May →
overpass2–13-0.0015%25 Mar →
anubis13–60.0312%23 Mar →
ancient13–50.0712%23 Mar →
mirage16–140.0013%23 Mar →
inferno13–40.0618%23 Mar →
anubis13–60.077%22 Mar →
ancient13–110.0218%22 Mar →
overpass10–130.0322%21 Mar →
inferno13–30.0316%21 Mar →
nuke7–130.0125%21 Mar →
inferno13–11-0.0137%21 Mar →
overpass10–13-0.0331%12 Mar →
vertigo13–8-0.0231%12 Mar →
mirage8–130.039%6 Mar →
inferno10–13-0.0713%6 Mar →
nuke13–70.0419%6 Mar →
ancient11–13-0.0925%6 Mar →
nuke10–13-0.0214%4 Mar →
inferno9–00.3121%27 Feb →
overpass13–20.1722%27 Feb →
inferno13–9-0.0114%25 Feb →

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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