kim ♡

kim ♡ — CS2 Stats

76561197966760892[U:1:6495164]Steam profile ↗✓ No bans

754Tracked matches50%Win rate2020Tracked since
7,108Hours in CS10Hrs last 2 wks
CSDB Rating6.7 SolidSupport
CSDB Leaderboard#35548 of 251284 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+24Tracked matches · now 754
−3.3ppWin rate · 53.3% → 50.0%

Rating over time

Premier CS Rating: 23,572 +0 26 Jul – 21 Sept · 4 days played
23,57223,572peak 23,57226 Jul21 Sept
23,688Peak Premier in tracked matches
2,037Highest Faceit ELO seen on CSDB
23Days played since 2026-07-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches24——
Win rate50%——
K/D0.93——
Headshot %47%——

Measured 14 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate54.3%50.9%
Shot accuracy21.3%13.7%
Kill/death ratio1.001.09
Match win rate51.3%48.4%

Share this profile

CSDB.GGkim ♡FACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,037csdb.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

Aim86
Positioning62
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWLWLLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +4.8pp headshot accuracy · +13ms reaction

Win rate −10pp 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 22%
  • Avg reaction 564ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 554ms

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 (+1.6 against its own average).

Aim8.6
Utility6.5
Positioning6.2
Opening Duels3.0
Clutch4.0

Sharp aimer

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 559ms 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

Aim8.6
Positioning6.2
Utility6.5
Mechanics7.6
Opening Duels2.3
Win Impact5.0

Composite 6.7/10 (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 0.02 → last ⅓ avg 0.01
Reaction time563ms−39ms
first ⅓ avg 601ms → last ⅓ avg 563ms
Headshot accuracy19.2%−0.8%
first ⅓ avg 20.0% → last ⅓ avg 19.2%

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

0.27Best match rating · 13–1 · dust2, 6 Oct →
50%Best headshot accuracy · 13–1 · dust2, 6 Oct →
344msFastest reaction time · 5–13 · mirage, 18 Aug →
13–1Biggest win · dust2, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 63% over 8infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A3924–1562%0.02
mirageA1710–759%-0.00
cacheC167–944%-0.01
infernoC104–640%0.02
nukeA85–363%-0.01
anubisC52–340%0.03
ancient—41–325%0.01
train—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

347,567Lifetime kills
1.00K/D
9,279Matches
51.3%Match win rate · Top 25% of Level 10 players
54.3%Headshot % · Top 50% of Level 10 players
21.3%Shot accuracy · Top 5% of Level 10 players
24,884MVPs
6,762Hours (in match)
13,840Bombs planted
3,111Bombs defused

Most-used weapons

AK-47136,076
AWP30,781
P25015,191
FAMAS6,503

Lifetime map wins

24,144dust2
15,092inferno
8,524nuke
7,803train
3,020cbble
435aztec
345vertigo
220office

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

Faceit stats

Combat

1,994Matches
48%Win rate
1.09Avg K/D
75.8ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust23964%1.4517.3
Mirage2259%1.0916.0
Cache2162%1.1615.2
Inferno1354%1.1116.6
Nuke1155%1.0816.4
Ancient729%0.9915.1
Anubis520%0.9114.2
Overpass1100%1.4413.0

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.

19.0%Headshot accuracy
41.3%Accuracy (enemy spotted)
42.7%Spray accuracy
84.4%Counter-strafing
9.9°Preaim
559msReaction time
38.3%T opening success
40.4%CT opening success
0.67Enemies flashed / flash
12.4%Flash assists
9.68HE damage / grenade
12.79Flashes / 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 38.2609% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0841%11 Oct →
cache10–130.0520%11 Oct →
dust213–90.0115%11 Oct →
inferno6–13-0.0716%6 Oct →
ancient4–13-0.0117%6 Oct →
dust213–10.2750%6 Oct →
mirage5–13-0.0114%4 Oct →
cache5–130.0219%4 Oct →
nuke13–80.018%4 Oct →
mirage13–60.0311%4 Oct →
dust213–100.0319%4 Oct →
dust213–80.0315%30 Sept →
cache13–8-0.0111%30 Sept →
cache7–13-0.0510%30 Sept →
dust213–90.0332%27 Sept →
inferno8–130.0227%27 Sept →
cache13–9-0.0110%27 Sept →
dust213–90.0011%27 Sept →
cache11–13-0.1115%27 Sept →
inferno9–130.0513%27 Sept →
dust28–13-0.0535%27 Sept →
mirage13–9-0.0321%27 Sept →
ancient5–80.0325%27 Sept →
dust213–40.0617%8 Sept →
mirage14–160.0418%8 Sept →
inferno6–130.0227%8 Sept →
dust213–160.0321%8 Sept →
mirage2–13-0.0618%6 Sept →
cache13–110.019%6 Sept →
dust213–10-0.0517%6 Sept →
nuke16–14-0.0318%6 Sept →
mirage18–22-0.0214%6 Sept →
anubis6–130.0219%2 Sept →
nuke13–8-0.0019%2 Sept →
mirage16–140.0121%2 Sept →
dust26–13-0.0517%30 Aug →
dust213–80.0117%30 Aug →
dust213–110.1232%30 Aug →
inferno13–5-0.058%30 Aug →
nuke11–13-0.0012%25 Aug →
mirage13–5-0.0110%25 Aug →
dust217–190.0527%25 Aug →
dust29–13-0.0012%23 Aug →
cache3–13-0.0020%23 Aug →
cache2–13-0.0121%23 Aug →
nuke13–30.0336%23 Aug →
mirage13–9-0.0715%23 Aug →
dust213–6-0.0131%18 Aug →
mirage5–13-0.0616%18 Aug →
inferno13–110.1030%18 Aug →
dust211–13-0.0136%18 Aug →
dust216–14-0.0213%16 Aug →
inferno13–9-0.0117%16 Aug →
anubis13–7-0.0310%16 Aug →
mirage13–11-0.0118%16 Aug →
dust213–90.0210%16 Aug →
dust213–4-0.0117%12 Aug →
dust29–13-0.0618%12 Aug →
dust212–160.0126%12 Aug →
nuke9–130.0018%9 Aug →
cache13–50.0435%9 Aug →
anubis11–130.0016%9 Aug →
dust213–11-0.0222%9 Aug →
cache9–13-0.0319%5 Aug →
nuke9–130.0119%5 Aug →
mirage6–130.0117%5 Aug →
dust213–80.0618%5 Aug →
dust29–13-0.0316%5 Aug →
train13–110.0315%5 Aug →
mirage13–60.1123%5 Aug →
ancient13–11-0.0313%5 Aug →
dust212–120.0218%5 Aug →
inferno13–40.0624%30 Jul →
dust216–140.0617%30 Jul →
mirage9–13-0.0222%30 Jul →
dust22–7-0.028%26 Jul →
nuke13–10-0.0828%26 Jul →
dust22–20.0829%26 Jul →
cache13–110.0519%25 Jul →
anubis13–50.1322%25 Jul →
cache4–13-0.0521%25 Jul →
dust213–10-0.0114%25 Jul →
mirage13–9-0.0322%14 Jul →
ancient10–130.0420%14 Jul →
cache13–8-0.0214%12 Jul →
dust213–80.0523%12 Jul →
dust210–13-0.0536%12 Jul →
dust210–13-0.0116%11 Jul →
inferno14–160.0422%11 Jul →
inferno7–130.0612%11 Jul →
dust213–8-0.0121%11 Jul →
dust213–40.0713%11 Jul →
dust211–130.0323%11 Jul →
mirage13–9-0.0410%11 Jul →
cache13–70.0123%11 Jul →
dust213–80.0537%7 Jul →
anubis10–130.0127%7 Jul →
cache3–13-0.0216%7 Jul →
mirage13–80.0814%7 Jul →
dust213–10.0124%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.