Koutsi | Operator

Koutsi | Operator — CS2 Stats

FI76561198366269498[U:1:406003770]Steam profile ↗✓ No bans

2,433Tracked matches50%Win rate2020Tracked since
5,906Hours in CS44Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating4,216Grey band · top ~82.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 4,216 +313 9 Jun – 11 Oct · 15 days played
3,6875,561peak 5,5619 Jun11 Oct
5,935Peak Premier in tracked matches
26Days played since 2026-06-09

Premier CS Rating

  • 1,345 below peak (5,561)
  • -1,163 over 30 days · declining
  • Next: Light Blue band at 5,000 — 784 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.

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 rate37.9%38.2%39.9%2.0% short
Shot accuracy11.4%3.6%7.0%above
Kill/death ratio0.820.830.920.10 short
Match win rate41.2%40.2%42.3%1.1% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGKoutsi | OperatorPREMIER4,216 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim19
Positioning52
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLLWWWWWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +4.6pp headshot accuracy · −20ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 678ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 685ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 695ms

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 (+2.2 against its own average).

Aim1.9
Utility5.8
Positioning5.2
Opening Duels2.0
Clutch1.4

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.

Strengths & areas to improve

Areas to improve

Reaction time. 692ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning5.2
Utility5.8
Mechanics3.3
Opening Duels4.2
Win Impact5.0

Composite 3.5/10 (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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time690ms+23ms
first ⅓ avg 668ms → last ⅓ avg 690ms
Headshot accuracy9.4%−0.5%
first ⅓ avg 9.9% → last ⅓ avg 9.4%

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

0.12Best match rating · 13–7 · anubis, 4 Oct →
27%Best headshot accuracy · 13–6 · anubis, 17 Jun →
453msFastest reaction time · 5–13 · ancient, 9 Oct →
13–1Biggest win · anubis, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 54% over 24anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.03
infernoC229–1341%-0.02
mirageB209–1145%-0.02
ancientC146–843%-0.03
anubisD134–931%-0.02
nuke—42–250%-0.02
cache—21–150%-0.03
train—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,201Lifetime kills
0.82K/D
8,018Matches
41.2%Match win rate · Top 50% of Grey band
37.9%Headshot %
11.4%Shot accuracy · Top 25% of Grey band
11,685MVPs
2,949Hours (in match)
11,024Bombs planted
1,274Bombs defused

Most-used weapons

AK-4722,424
AUG7,511
FAMAS6,143
MP74,825
SG 5534,736
P903,863

Lifetime map wins

12,696dust2
12,599inferno
9,599nuke
2,854train
2,570vertigo
348office
316lake
130cbble

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

Faceit stats

Combat

89Matches
34%Win rate
0.61Avg K/D
56.6ADR
34%Headshot %

Clutches & streaks

27%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1937%0.599.8
Mirage1346%0.679.6
Dust21331%0.518.2
Nuke1331%0.7711.8
Anubis714%0.457.6
Inferno633%0.808.5
Overpass30%0.254.3
Cache250%0.7612.0

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.

9.6%Headshot accuracy
29.3%Accuracy (enemy spotted)
29.4%Spray accuracy
65.0%Counter-strafing
11.9°Preaim
692msReaction time
48.9%T opening success
44.8%CT opening success
0.54Enemies flashed / flash
8.6%Flash assists
11.68HE damage / grenade
5.88Flashes / 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 9.5834% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0510%12 Oct →
dust24–13-0.0923%12 Oct →
dust213–60.0013%12 Oct →
inferno13–10-0.0211%11 Oct →
mirage13–90.038%11 Oct →
mirage13–7-0.0412%11 Oct →
inferno13–9-0.008%11 Oct →
mirage10–13-0.028%11 Oct →
inferno13–9-0.0112%10 Oct →
mirage11–130.0120%10 Oct →
ancient5–13-0.035%9 Oct →
ancient11–13-0.007%8 Oct →
mirage13–50.028%8 Oct →
inferno13–30.037%8 Oct →
dust213–9-0.008%8 Oct →
mirage11–13-0.0610%7 Oct →
inferno8–13-0.019%6 Oct →
mirage13–90.004%6 Oct →
anubis13–90.035%6 Oct →
mirage13–100.0216%6 Oct →
inferno4–13-0.043%5 Oct →
anubis6–13-0.0311%5 Oct →
dust213–80.089%5 Oct →
inferno11–130.0314%5 Oct →
mirage9–13-0.029%5 Oct →
dust26–13-0.0112%4 Oct →
mirage9–13-0.077%4 Oct →
ancient10–13-0.063%4 Oct →
dust213–9-0.076%4 Oct →
inferno13–6-0.039%4 Oct →
anubis13–70.1218%4 Oct →
mirage1–4-0.140%4 Oct →
ancient5–13-0.045%3 Oct →
inferno13–50.0315%3 Oct →
inferno6–130.029%3 Oct →
mirage13–100.0111%3 Oct →
mirage13–60.0310%2 Oct →
mirage6–13-0.039%2 Oct →
dust213–3-0.0610%2 Oct →
anubis10–13-0.0411%2 Oct →
mirage9–13-0.059%1 Oct →
inferno7–13-0.0716%1 Oct →
ancient13–80.024%1 Oct →
anubis5–13-0.058%1 Oct →
dust213–8-0.0411%29 Sept →
dust27–13-0.064%29 Sept →
nuke7–13-0.008%29 Sept →
dust213–10-0.0726%16 Sept →
dust213–100.0113%16 Sept →
dust215–15-0.029%16 Sept →
inferno6–13-0.0110%16 Sept →
ancient4–13-0.057%16 Sept →
anubis2–13-0.0416%15 Sept →
dust25–13-0.077%15 Sept →
inferno1–13-0.057%15 Sept →
anubis13–1-0.054%15 Sept →
anubis9–13-0.075%15 Sept →
inferno13–8-0.1110%15 Sept →
inferno6–13-0.0618%14 Sept →
ancient13–6-0.0310%14 Sept →
mirage5–13-0.018%14 Sept →
dust213–80.0810%14 Sept →
mirage9–13-0.029%14 Sept →
ancient13–8-0.044%14 Sept →
mirage13–10.044%14 Sept →
dust26–13-0.069%14 Sept →
anubis7–13-0.0110%14 Sept →
anubis3–80.0110%14 Sept →
dust210–13-0.0712%9 Sept →
dust216–14-0.0112%9 Sept →
ancient2–110.019%9 Sept →
dust27–13-0.005%9 Sept →
dust211–13-0.042%9 Sept →
anubis7–13-0.0910%8 Sept →
ancient13–6-0.032%8 Sept →
ancient9–13-0.097%8 Sept →
train13–40.042%6 Sept →
anubis11–13-0.0110%6 Sept →
dust213–11-0.047%6 Sept →
nuke4–13-0.086%6 Sept →
dust213–11-0.0111%4 Sept →
cache13–11-0.069%4 Sept →
inferno9–13-0.059%4 Sept →
mirage2–13-0.116%4 Sept →
nuke13–50.0511%4 Sept →
inferno9–130.0415%29 Aug →
inferno13–9-0.0411%28 Aug →
inferno5–13-0.0510%25 Aug →
ancient13–60.017%25 Aug →
dust213–11-0.0516%25 Aug →
inferno13–9-0.025%25 Aug →
inferno5–130.0814%24 Aug →
dust211–13-0.0216%24 Aug →
dust28–13-0.0314%24 Aug →
ancient3–13-0.0920%24 Aug →
mirage13–8-0.045%24 Aug →
anubis13–6-0.0927%17 Jun →
nuke13–7-0.059%17 Jun →
cache11–130.016%17 Jun →
ancient13–8-0.0110%9 Jun →

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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