KarlKari

KarlKari — CS2 Stats

76561198116178796[U:1:155913068]Steam profile ↗✓ No bans

2,311Tracked matches61%Win rate2020Tracked since
3,958Hours in CS
CSDB Rating6.1 SolidPositional Player
Premier CS Rating16,953Purple band · top ~20.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (7 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 14 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,953 -1,031 3 Aug13 Sept · 22 days played
15,00018,903peak 18,9033 Aug13 Sept
19,264Peak Premier in tracked matches
26Days played since 2026-07-14

Premier CS Rating

  • 1,950 below peak (18,903)
  • +455 over 30 days · improving
  • Next: Pink band at 20,000 3,047 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 Purple band among CSDB-tracked players (n=36,319), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.6%44.3%46.9%7.4% short
Shot accuracy17.4%11.8%13.0%above
Kill/death ratio0.901.031.080.18 short
Match win rate40.3%45.2%46.7%6.4% short

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

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

Share this profile

CSDB.GGKarlKariPREMIER16,953 · 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

Aim67
Positioning60
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWWWWLTWLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.1pp headshot accuracy · −29ms 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

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 562ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 573ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim6.7
Utility5.3
Positioning6.0
Opening Duels5.2
Clutch4.0

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 579ms 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

Aim6.7
Positioning6.0
Utility5.3
Mechanics5.4
Opening Duels4.1
Win Impact8.6

Composite 6.1/10 (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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time589ms−28ms
first ⅓ avg 617ms → last ⅓ avg 589ms
Headshot accuracy14.7%−3.5%
first ⅓ avg 18.2% → last ⅓ avg 14.7%

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 · 13–6 · nuke, 7 Aug
32%Best headshot accuracy · 13–9 · anubis, 3 Aug
453msFastest reaction time · 9–13 · dust2, 3 Aug
13–1Biggest win · mirage, 14 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
913In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB22101245%0.01
dust2B21101148%0.01
mirageB20101050%0.02
ancientA1710759%-0.01
infernoD103730%0.01
cacheA53260%0.01
anubisA53260%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

162,077Lifetime kills
0.90K/D
8,731Matches
40.3%Match win rate
39.6%Headshot %
17.4%Shot accuracy · Top 25% of Purple band
17,100MVPs
3,958Hours (in match)
13,354Bombs planted
2,352Bombs defused

Most-used weapons

Lifetime map wins

18,617dust2
13,785inferno
13,704nuke
7,018train
2,557vertigo
1,141cbble
104office
38aztec

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

Faceit stats

Combat

231Matches
53%Win rate
1.06Avg K/D
83.6ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2365%1.1916.7
Dust21947%1.1716.1
Anubis1258%1.1016.7
Inferno1267%1.2919.3
Nuke1164%1.4221.0
Ancient967%0.9215.7
Cache475%1.3524.5
Iris10%0.294.0

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.

14.6%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.5%Spray accuracy
74.1%Counter-strafing
11.6°Preaim
579msReaction time
46.0%T opening success
47.0%CT opening success
0.65Enemies flashed / flash
10.3%Flash assists
11.87HE damage / grenade
5.82Flashes / 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 14.594% — below the 15% mark we flag

    Aim Training
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–14-0.0412%13 Sept
inferno13–8-0.0315%13 Sept
cache13–7-0.0313%13 Sept
dust213–9-0.0017%13 Sept
inferno14–160.0510%11 Sept
ancient15–150.0019%9 Sept
nuke13–90.0312%9 Sept
nuke14–160.1014%9 Sept
dust213–11-0.0227%9 Sept
nuke14–16-0.0317%7 Sept
ancient1–6-0.0214%7 Sept
anubis8–13-0.0013%7 Sept
mirage13–3-0.0010%7 Sept
dust213–2-0.0122%7 Sept
nuke11–13-0.0418%7 Sept
dust213–80.0112%7 Sept
ancient13–80.0710%7 Sept
inferno9–130.0322%6 Sept
ancient13–8-0.0110%3 Sept
ancient13–6-0.026%1 Sept
mirage13–10-0.0112%1 Sept
dust211–130.0314%1 Sept
ancient10–130.049%29 Aug
nuke15–15-0.0213%29 Aug
mirage9–130.0514%28 Aug
mirage13–40.0717%28 Aug
ancient13–20.0711%28 Aug
inferno13–80.0520%28 Aug
nuke13–70.0015%26 Aug
dust27–130.0121%25 Aug
nuke15–15-0.0214%23 Aug
nuke13–30.0820%23 Aug
mirage10–13-0.1013%23 Aug
ancient13–70.0120%23 Aug
dust213–50.0610%23 Aug
mirage14–160.0419%22 Aug
nuke13–3-0.018%22 Aug
ancient10–13-0.059%22 Aug
cache13–70.0319%22 Aug
inferno10–130.0126%18 Aug
cache13–50.0413%18 Aug
dust211–13-0.0411%18 Aug
mirage11–13-0.0211%18 Aug
inferno9–13-0.0320%18 Aug
nuke11–13-0.107%16 Aug
mirage5–13-0.086%16 Aug
ancient13–4-0.0118%16 Aug
mirage13–80.0815%16 Aug
dust29–13-0.0013%16 Aug
anubis13–90.0220%15 Aug
inferno13–80.0917%15 Aug
dust27–130.0813%15 Aug
mirage13–40.0821%15 Aug
dust210–130.0115%15 Aug
inferno5–13-0.0011%14 Aug
inferno10–13-0.0111%14 Aug
mirage13–10.0013%14 Aug
ancient13–40.0520%14 Aug
mirage10–130.0123%14 Aug
nuke8–13-0.0322%14 Aug
nuke13–5-0.0515%14 Aug
ancient1–13-0.065%14 Aug
dust29–13-0.0612%11 Aug
mirage13–60.0713%11 Aug
nuke14–16-0.0218%11 Aug
dust210–130.0629%11 Aug
nuke10–130.0416%11 Aug
nuke13–100.0329%10 Aug
ancient2–13-0.1221%10 Aug
mirage11–130.0216%10 Aug
ancient13–11-0.0511%10 Aug
dust213–20.0212%10 Aug
mirage10–13-0.0422%7 Aug
nuke13–60.1421%7 Aug
nuke9–130.0823%7 Aug
mirage10–13-0.0117%7 Aug
nuke7–130.0119%7 Aug
mirage13–80.0717%7 Aug
mirage16–140.0320%6 Aug
nuke10–13-0.0220%6 Aug
dust213–11-0.0511%5 Aug
ancient0–60.0117%5 Aug
nuke13–100.0318%5 Aug
anubis11–13-0.0431%5 Aug
ancient13–3-0.0514%5 Aug
cache2–130.0124%5 Aug
anubis13–11-0.0315%3 Aug
anubis13–9-0.0132%3 Aug
dust29–130.0214%3 Aug
dust213–110.0422%3 Aug
mirage16–130.0113%30 Jul
nuke8–1-0.0314%30 Jul
ancient16–140.0224%30 Jul
dust23–13-0.013%27 Jul
mirage6–130.0319%27 Jul
nuke13–5-0.0014%27 Jul
cache11–130.0324%27 Jul
dust216–140.0713%27 Jul
inferno8–13-0.0913%14 Jul
dust215–15-0.0220%14 Jul

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 →