kimi

kimi — CS2 Stats

FI76561198062712289[U:1:102446561]Steam profile ↗✓ No bans

623Tracked matches50%Win rate2020Tracked since
3,552Hours in CS2Hrs last 2 wks
CSDB Rating5.5 SolidClutch Specialist
Premier CS Rating23,847Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#34132 of 260011 tracked
FaceitLevel 10 · 2,101 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,847 → 23,847
0Faceit ELO · 2,101 → 2,101
+2Tracked matches · now 623
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 23,847 -1,388 19 Apr – 14 Oct · 30 days played
23,44726,167peak 26,16719 Apr14 Oct
Faceit ELO: 2,101 +0 29 Aug – 14 Oct · 3 observations
2,1012,101peak 2,10129 Aug14 Oct
26,167Peak Premier in tracked matches
2,101Highest Faceit ELO seen on CSDB
43Days played since 2026-04-19

Faceit ELO

  • At peak — 2,101
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 399 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier CS Rating

  • 2,320 below peak (26,167)
  • 0 over 30 days · steady
  • +400 over 90 days
  • Next: Red band at 25,000 — 1,153 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate49.5%50.9%
Shot accuracy16.2%13.7%
Kill/death ratio1.191.09
Match win rate51.9%48.4%

Share this profile

CSDB.GGkimiFACEITLevel 10 · 2,101 ELOSTANDINGTop 12.4% of rankedPREMIER23,847 · Pink band30 DAYS0 ELOPEAK ELO2,101csdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWLLWLWLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +9.0pp headshot accuracy · +87ms 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 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 677ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 602ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 559ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.6 against its own average).

Aim7.1
Utility4.0
Positioning5.4
Opening Duels2.6
Clutch8.8

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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

jL

Plays most like jL 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

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

T-side openings. Opening success drops from 56% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim7.1
Positioning5.4
Utility4.0
Mechanics4.9
Opening Duels3.3
Win Impact5.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time586ms−21ms
first ⅓ avg 607ms → last ⅓ avg 586ms
Headshot accuracy22.1%+3.9%
first ⅓ avg 18.2% → last ⅓ avg 22.1%

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 · office, 4 Sept →
100%Best headshot accuracy · 0–3 · inferno, 2 Aug →
367msFastest reaction time · 4–13 · ancient, 24 Jun →
13–0Biggest win · inferno, 18 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
cacheA2716–1159%0.02
infernoA1810–856%0.01
ancientD144–1029%-0.01
dust2S96–367%0.02
overpassD72–529%0.01
nukeD62–433%0.03
anubisS65–183%0.03
office—43–175%0.04
train—31–233%0.00
mirage—32–167%-0.03
vertigo—11–0100%0.07
boulder—11–0100%-0.02
warden—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,398Lifetime kills
1.19K/D · Top 50% of Level 10 players
3,551Matches
51.9%Match win rate · Top 25% of Level 10 players
49.5%Headshot %
16.2%Shot accuracy · Top 50% of Level 10 players
9,598MVPs
2,089Hours (in match)
5,224Bombs planted
1,450Bombs defused

Most-used weapons

AK-4735,677
AWP7,985
P2503,965
FAMAS1,855
SG 5531,573

Lifetime map wins

11,750inferno
5,417nuke
3,509dust2
903train
840cbble
452vertigo
217office
123italy

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

Faceit stats

Combat

729Matches
53%Win rate
1.19Avg K/D
78.6ADR
39%Headshot %

Clutches & streaks

64%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2352%1.2616.4
Mirage1315%0.8713.8
Overpass1377%1.2216.9
Nuke1346%1.1018.2
Ancient862%1.3616.9
Dust2475%1.2415.8
Vertigo367%2.3819.3
Anubis1100%1.9019.0

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.

20.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
42.1%Spray accuracy
72.0%Counter-strafing
9.7°Preaim
573msReaction time
15.9%T opening success
56.4%CT opening success
0.45Enemies flashed / flash
9.1%Flash assists
9.94HE damage / grenade
2.04Flashes / 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 0.445 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 15.9382% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–130.0242%26 Oct →
cache13–50.0714%25 Oct →
overpass5–130.0216%3 Oct →
cache11–13-0.0023%3 Oct →
vertigo13–10.0726%26 Sept →
nuke10–130.0322%6 Sept →
office13–90.0231%4 Sept →
office3–130.0330%4 Sept →
office13–80.1427%4 Sept →
cache13–80.0736%1 Sept →
inferno9–13-0.0518%30 Aug →
inferno13–80.0215%22 Aug →
inferno13–60.0523%22 Aug →
cache10–130.0521%22 Aug →
inferno3–13-0.0026%14 Aug →
ancient13–80.0015%14 Aug →
nuke5–130.0418%14 Aug →
cache13–30.1115%14 Aug →
train9–13-0.0313%14 Aug →
train13–110.0415%14 Aug →
cache7–130.006%10 Aug →
train11–13-0.0124%8 Aug →
boulder13–8-0.0219%8 Aug →
office13–7-0.0213%8 Aug →
mirage13–10-0.009%2 Aug →
cache13–100.0121%2 Aug →
inferno9–130.0011%2 Aug →
ancient7–13-0.0728%2 Aug →
inferno0–3-0.11100%2 Aug →
inferno13–100.0313%30 Jul →
cache13–70.0411%30 Jul →
cache4–13-0.0514%29 Jul →
ancient3–00.1014%29 Jul →
inferno8–13-0.0333%29 Jul →
nuke13–6-0.0214%29 Jul →
nuke2–40.0120%29 Jul →
inferno13–90.019%23 Jul →
cache10–130.0222%23 Jul →
cache13–80.0516%23 Jul →
nuke13–30.0815%23 Jul →
inferno13–40.0115%23 Jul →
inferno13–00.1421%18 Jul →
ancient9–130.0713%18 Jul →
anubis13–8-0.0016%18 Jul →
cache13–110.0820%18 Jul →
cache13–70.0217%18 Jul →
cache9–130.0213%9 Jul →
inferno10–13-0.019%2 Jul →
dust213–110.0222%2 Jul →
warden0–2-0.010%24 Jun →
cache12–120.0114%24 Jun →
ancient16–140.0116%24 Jun →
ancient4–13-0.0613%24 Jun →
cache9–13-0.0210%22 Jun →
dust213–70.0813%22 Jun →
ancient3–13-0.0413%22 Jun →
dust29–130.0322%22 Jun →
ancient3–13-0.0811%14 Jun →
inferno7–13-0.0412%14 Jun →
anubis13–00.0911%7 Jun →
dust210–13-0.0225%7 Jun →
overpass7–130.0210%5 Jun →
anubis13–11-0.0118%4 Jun →
ancient8–130.0014%4 Jun →
cache13–100.0025%3 Jun →
cache9–13-0.0315%31 May →
dust213–90.0515%30 May →
anubis13–60.0317%28 May →
anubis13–100.0716%23 May →
inferno13–60.0640%23 May →
mirage13–11-0.0414%23 May →
dust216–130.0117%22 May →
anubis3–13-0.0211%22 May →
ancient16–140.017%22 May →
inferno13–10-0.0111%22 May →
inferno13–70.0416%20 May →
cache13–20.0531%20 May →
ancient11–130.0316%18 May →
overpass14–160.0220%18 May →
ancient8–130.0223%18 May →
nuke6–130.0223%18 May →
overpass16–130.0219%14 May →
overpass13–90.0216%13 May →
dust213–11-0.0624%13 May →
inferno5–13-0.0033%13 May →
inferno13–50.0221%13 May →
dust214–160.0222%11 May →
cache13–80.0919%9 May →
cache13–5-0.047%9 May →
cache1–13-0.057%9 May →
cache13–0-0.0110%9 May →
cache13–100.0129%9 May →
dust213–110.0221%5 May →
cache13–80.0724%1 May →
cache13–90.0216%30 Apr →
mirage3–13-0.0511%28 Apr →
overpass2–13-0.0621%21 Apr →
ancient7–13-0.0412%21 Apr →
ancient5–13-0.0716%19 Apr →
overpass5–130.0213%19 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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