Koutsh3

Koutsh3 — CS2 Stats

76561198931006918[U:1:970741190]Steam profile ↗✓ No bans

185Tracked matches50%Win rate2023Tracked since
110Hours in CS
CSDB Rating5.8 SolidSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,946 +3,115 14 Sept – 15 Dec · 25 days played
13,83116,946peak 16,94614 Sept15 Dec
16,946Peak Premier in tracked matches
44Days played since 2025-09-14

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

Performance scores

Aim68
Positioning44
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLLLWTLWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −11.7pp headshot accuracy · −38ms 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 630ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 649ms

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).

Aim6.8
Utility6.2
Positioning4.4
Opening Duels3.4

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: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 651ms 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

Aim6.8
Positioning4.4
Utility6.2
Mechanics8.0
Opening Duels2.7
Win Impact5.0

Composite 5.8/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time660ms−40ms
first ⅓ avg 700ms → last ⅓ avg 660ms
Headshot accuracy22.3%−5.2%
first ⅓ avg 27.5% → 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

0.16Best match rating · 13–6 · inferno, 21 Apr →
67%Best headshot accuracy · 3–13 · ancient, 16 Oct →
453msFastest reaction time · 3–13 · anubis, 1 Apr →
13–0Biggest win · train, 23 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 78% over 9mirageWeakest map · 43% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%-0.02
infernoB179–853%-0.01
ancientA116–555%-0.02
dust2B105–550%-0.01
nukeS97–278%-0.00
overpassS86–275%-0.04
anubisA53–260%0.01
vertigo—40–40%-0.04
train—32–167%0.03
office—32–167%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,932Lifetime kills
1.08K/D · Top 50% of tracked players
292Matches
48.6%Match win rate · Top 25% of tracked players
46.0%Headshot % · Top 50% of tracked players
7.5%Shot accuracy
678MVPs
110Hours (in match)
241Bombs planted
61Bombs defused

Most-used weapons

Lifetime map wins

435inferno
202nuke
169dust2
106train
65vertigo
33office
1ar_baggage
1lake

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.

22.5%Headshot accuracy
30.7%Accuracy (enemy spotted)
34.4%Spray accuracy
86.2%Counter-strafing
9.5°Preaim
651msReaction time
32.1%T opening success
49.7%CT opening success
0.58Enemies flashed / flash
9.0%Flash assists
9.34HE damage / grenade
13.09Flashes / 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 32.0507% — below the 40% mark we flag

Spend your practice time on Mirage

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

43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0619%16 Jun →
mirage7–13-0.0310%16 Jun →
mirage5–13-0.0425%15 Jun →
mirage3–13-0.0516%15 Jun →
inferno13–110.0218%6 Jun →
vertigo12–12-0.0323%6 Jun →
mirage3–100.0112%6 Jun →
train13–40.0713%24 Apr →
ancient13–70.1116%23 Apr →
train13–00.1026%23 Apr →
train10–13-0.0629%23 Apr →
inferno13–60.1637%21 Apr →
mirage13–7-0.0118%21 Apr →
mirage3–13-0.0229%16 Apr →
inferno4–11-0.0333%15 Apr →
inferno13–4-0.0042%15 Apr →
vertigo9–130.0145%8 Apr →
vertigo12–12-0.0815%8 Apr →
anubis13–40.0523%2 Apr →
anubis13–50.0124%2 Apr →
anubis3–13-0.0812%1 Apr →
dust213–50.0928%1 Apr →
overpass8–13-0.0611%25 Mar →
dust23–130.0015%25 Mar →
mirage9–13-0.0219%25 Mar →
mirage13–10-0.0116%25 Mar →
mirage1–13-0.0243%24 Mar →
office13–80.0226%18 Mar →
dust29–13-0.0120%18 Mar →
mirage13–70.1219%18 Mar →
mirage13–11-0.0321%18 Mar →
mirage13–90.0420%14 Mar →
overpass13–5-0.0316%12 Mar →
anubis9–13-0.027%29 Jan →
overpass13–9-0.0315%15 Dec →
ancient13–5-0.035%14 Dec →
nuke13–11-0.0743%9 Dec →
inferno13–6-0.0518%9 Dec →
ancient13–9-0.0333%5 Dec →
nuke0–3-0.070%5 Dec →
inferno13–8-0.100%5 Dec →
mirage9–13-0.0714%5 Dec →
office13–80.0726%2 Dec →
ancient2–130.0028%2 Dec →
inferno4–13-0.050%1 Dec →
overpass16–13-0.0343%28 Nov →
ancient7–13-0.0514%24 Nov →
mirage10–13-0.0525%24 Nov →
nuke13–90.0524%23 Nov →
inferno13–8-0.0327%23 Nov →
overpass13–9-0.0829%22 Nov →
mirage5–13-0.0523%22 Nov →
nuke13–10.0424%22 Nov →
dust213–50.0218%22 Nov →
ancient13–10-0.0219%19 Nov →
ancient2–13-0.0829%19 Nov →
mirage13–30.0535%19 Nov →
dust29–13-0.0813%19 Nov →
mirage13–10-0.0860%30 Oct →
mirage12–50.0157%30 Oct →
mirage2–13-0.0630%30 Oct →
mirage4–13-0.0730%30 Oct →
overpass13–90.0424%30 Oct →
dust213–3-0.1125%24 Oct →
dust20–13-0.040%24 Oct →
inferno13–5-0.0121%16 Oct →
ancient3–13-0.0367%16 Oct →
mirage7–130.0026%16 Oct →
inferno5–13-0.1029%15 Oct →
ancient16–12-0.0457%15 Oct →
overpass4–13-0.0714%15 Oct →
mirage13–7-0.0617%14 Oct →
nuke14–16-0.0812%14 Oct →
mirage11–13-0.0636%14 Oct →
mirage16–12-0.1036%13 Oct →
ancient5–13-0.1060%13 Oct →
mirage11–13-0.0557%12 Oct →
mirage13–8-0.0028%10 Oct →
ancient13–9-0.0134%10 Oct →
nuke16–120.0150%9 Oct →
vertigo8–8-0.0714%1 Oct →
office7–130.0416%1 Oct →
dust213–11-0.0131%1 Oct →
inferno6–13-0.0333%1 Oct →
overpass13–10-0.0414%26 Sept →
dust213–110.0413%25 Sept →
nuke13–90.0127%25 Sept →
mirage8–130.0238%23 Sept →
mirage13–100.0321%17 Sept →
inferno8–13-0.0317%17 Sept →
mirage13–50.0636%17 Sept →
inferno8–13-0.0319%17 Sept →
nuke13–8-0.0413%17 Sept →
inferno13–20.0630%16 Sept →
inferno13–60.1220%16 Sept →
dust211–13-0.0220%16 Sept →
mirage9–13-0.027%16 Sept →
nuke13–00.1226%16 Sept →
inferno8–13-0.0124%16 Sept →
inferno5–13-0.0730%14 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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