CoolKarni^Kaka

CoolKarni^Kaka — CS2 Stats

IN76561198353534553[U:1:393268825]Steam profile ↗✓ No bans

1,014Tracked matches41%Win rate2020Tracked since
3,613Hours in CS4Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating15,806Purple band · top ~25.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 15,806 -1,255 28 May – 11 Nov · 30 days played
14,30817,061peak 17,06128 May11 Nov
17,061Peak Premier in tracked matches
41Days played since 2026-05-28

Premier CS Rating

  • 1,255 below peak (17,061)
  • +806 over 30 days · improving
  • Next: Pink band at 20,000 — 4,194 to go
  • Reached: Purple band · Blue band · 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 Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate50.6%43.8%44.8%above
Shot accuracy17.2%12.0%12.4%above
Kill/death ratio0.861.021.030.17 short
Match win rate39.9%44.7%45.2%5.3% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCoolKarni^KakaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,806 · Purple 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

Aim76
Positioning66
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWLWWWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −2.3pp headshot accuracy · +39ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 675ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

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 (+2.5 against its own average).

Aim7.6
Utility4.6
Positioning6.6
Opening Duels5.3
Clutch0.0

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 607ms 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

Aim7.6
Positioning6.6
Utility4.6
Mechanics8.2
Opening Duels5.3
Win Impact2.1

Composite 6.3/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time604ms−41ms
first ⅓ avg 646ms → last ⅓ avg 604ms
Headshot accuracy19.5%+0.6%
first ⅓ avg 19.0% → last ⅓ avg 19.5%

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

0.14Best match rating · 13–8 · vertigo, 4 Jun →
38%Best headshot accuracy · 6–13 · inferno, 29 Aug →
453msFastest reaction time · 13–10 · nuke, 28 Aug →
13–2Biggest win · cache, 19 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 55% over 29infernoWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A2916–1355%0.01
mirageC238–1535%-0.03
infernoD195–1426%-0.01
anubisC73–443%-0.03
cacheC73–443%0.00
nukeB63–350%-0.02
vertigo—43–175%0.06
ancient—30–30%-0.03
overpass—21–150%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,060Lifetime kills
0.86K/D
5,506Matches
39.9%Match win rate
50.6%Headshot % · Top 25% of Level 5 players
17.2%Shot accuracy · Top 25% of Level 5 players
12,599MVPs
3,039Hours (in match)
5,765Bombs planted
1,561Bombs defused

Most-used weapons

AK-4755,982
AWP14,770
Tec-92,788
MAC-102,502
P902,394
MP92,064

Lifetime map wins

13,435dust2
10,732inferno
1,566train
1,135nuke
617cbble
491vertigo
57ar_shoots
43office

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

Faceit stats

Combat

93Matches
55%Win rate
1.22Avg K/D
76.2ADR
47%Headshot %

Clutches & streaks

11%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1644%1.0514.4
Dust21392%1.2314.1
Ancient667%1.0216.3
Cache3100%1.0918.0
Anubis20%0.8813.5
Inferno10%1.1721.0
Vertigo1100%1.1721.0

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.

19.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.6%Spray accuracy
87.1%Counter-strafing
10.1°Preaim
607msReaction time
48.8%T opening success
53.7%CT opening success
0.43Enemies flashed / flash
4.7%Flash assists
13.74HE damage / grenade
6.17Flashes / 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 0.4267 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0625%11 Nov →
nuke5–13-0.0815%5 Nov →
anubis13–10-0.0317%4 Nov →
dust213–90.0618%30 Oct →
mirage13–5-0.0213%30 Oct →
cache2–130.0123%30 Oct →
mirage6–13-0.049%30 Oct →
anubis9–13-0.0418%29 Oct →
inferno16–140.0421%27 Oct →
dust213–110.0816%23 Oct →
mirage8–13-0.0114%16 Oct →
mirage11–130.0111%15 Oct →
cache13–60.1027%15 Oct →
ancient7–13-0.0328%14 Oct →
inferno16–140.0012%14 Oct →
dust213–10-0.0319%13 Oct →
cache7–13-0.0219%13 Oct →
inferno11–130.0529%12 Oct →
dust25–13-0.0418%12 Oct →
nuke7–13-0.0523%12 Oct →
anubis13–11-0.0116%12 Oct →
dust25–13-0.079%7 Oct →
anubis11–13-0.0517%16 Sept →
dust25–13-0.0823%29 Aug →
mirage15–15-0.0520%29 Aug →
inferno6–13-0.0538%29 Aug →
dust213–80.0719%29 Aug →
cache8–13-0.0220%29 Aug →
inferno10–13-0.0622%29 Aug →
dust213–80.0920%29 Aug →
nuke13–10-0.0315%28 Aug →
mirage13–100.0029%28 Aug →
cache7–13-0.0421%27 Aug →
mirage7–130.0226%26 Aug →
dust213–30.0417%26 Aug →
cache13–2-0.0210%19 Aug →
dust213–80.0620%12 Aug →
mirage7–13-0.0429%11 Aug →
nuke13–6-0.0420%6 Aug →
dust213–110.0113%6 Aug →
mirage16–120.0121%5 Aug →
anubis9–130.0020%3 Aug →
anubis16–130.0515%2 Aug →
inferno13–16-0.0311%2 Aug →
cache13–110.0123%2 Aug →
anubis9–13-0.0911%2 Aug →
dust29–130.0824%2 Aug →
mirage15–15-0.0114%1 Jul →
inferno5–13-0.0214%1 Jul →
dust213–90.0118%29 Jun →
mirage2–13-0.0414%29 Jun →
inferno14–16-0.0122%28 Jun →
inferno13–70.0830%28 Jun →
mirage15–15-0.0435%28 Jun →
mirage11–13-0.0223%28 Jun →
dust211–13-0.0514%27 Jun →
ancient0–13-0.050%27 Jun →
dust216–13-0.0214%27 Jun →
inferno5–13-0.067%25 Jun →
overpass6–130.0315%25 Jun →
inferno10–130.0719%25 Jun →
mirage7–13-0.0424%25 Jun →
dust213–100.0326%24 Jun →
mirage16–14-0.0419%24 Jun →
inferno2–13-0.106%24 Jun →
nuke8–13-0.0427%24 Jun →
dust210–130.0121%24 Jun →
inferno3–13-0.0226%24 Jun →
inferno13–6-0.0411%22 Jun →
mirage13–10-0.0511%22 Jun →
mirage9–13-0.0330%19 Jun →
dust213–11-0.0417%19 Jun →
inferno7–13-0.098%17 Jun →
dust214–160.0324%17 Jun →
dust213–60.0525%17 Jun →
inferno8–13-0.0417%16 Jun →
inferno9–130.0728%16 Jun →
mirage13–7-0.0416%16 Jun →
dust24–13-0.0535%16 Jun →
dust24–13-0.0519%16 Jun →
mirage13–6-0.0322%16 Jun →
dust211–13-0.0318%16 Jun →
dust20–4-0.050%16 Jun →
mirage5–13-0.037%14 Jun →
dust215–150.0123%12 Jun →
inferno13–80.0611%12 Jun →
dust213–90.0315%11 Jun →
overpass13–90.0226%11 Jun →
mirage8–13-0.0227%11 Jun →
inferno0–90.000%10 Jun →
nuke13–110.1121%4 Jun →
vertigo5–13-0.0316%4 Jun →
vertigo13–80.1424%4 Jun →
ancient9–13-0.0128%4 Jun →
mirage9–13-0.0718%4 Jun →
dust29–13-0.0014%4 Jun →
vertigo13–70.0621%4 Jun →
vertigo13–80.0529%4 Jun →
mirage13–9-0.0225%28 May →
dust213–110.0316%28 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.