kimi

kimi — CS2 Stats

VI76561198369511250[U:1:409245522]Steam profile ↗✓ No bans

1,329Tracked matches37%Win rate2020Tracked since
3,430Hours in CS70Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGkimiFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLWLLLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −2.9pp headshot accuracy · +36ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

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 (+1.8 against its own average).

Aim6.3
Utility5.6
Positioning6.1
Opening Duels1.5
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

iM

Plays most like iM 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 51% on T to 31% on CT — first contacts on the defending side are being lost.

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

Aim6.3
Positioning6.1
Utility5.6
Mechanics5.1
Opening Duels2.7
Win Impact0.6

Composite 5.0/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time545ms−59ms
first ⅓ avg 604ms → last ⅓ avg 545ms
Headshot accuracy16.6%−5.9%
first ⅓ avg 22.4% → last ⅓ avg 16.6%

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 · 12–16 · nuke, 11 Aug →
64%Best headshot accuracy · 0–13 · nuke, 7 Mar →
234msFastest reaction time · 5–13 · mirage, 17 Aug →
13–0Biggest win · cache, 24 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 71% over 7dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC208–1240%0.03
nukeC198–1142%0.01
infernoC167–944%0.02
anubisS128–467%0.03
cacheA127–558%0.06
dust2D93–633%-0.00
ancientS75–271%-0.00
overpass—31–233%0.04
vertigo—21–150%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,352Lifetime kills
1.06K/D
3,244Matches
47.3%Match win rate
44.4%Headshot %
13.4%Shot accuracy
8,762MVPs
1,185Hours (in match)
3,327Bombs planted
926Bombs defused

Most-used weapons

Lifetime map wins

4,959nuke
3,633inferno
2,976vertigo
2,073dust2
1,309train
888lake
365office
275cbble

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

Faceit stats

Combat

441Matches
53%Win rate
1.13Avg K/D
80.0ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke6252%1.2217.3
Mirage4646%1.1115.5
Anubis4556%1.1316.8
Inferno4358%1.2116.7
Dust23951%1.1116.6
Ancient3858%1.1316.0
Vertigo2955%1.1416.0
Cache2348%1.0516.0

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.

16.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.7%Spray accuracy
72.9%Counter-strafing
9.9°Preaim
534msReaction time
50.8%T opening success
30.9%CT opening success
0.58Enemies flashed / flash
6.4%Flash assists
7.71HE damage / grenade
10.72Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.9377% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0517%12 Nov →
mirage13–30.0127%11 Nov →
mirage10–13-0.0217%9 Nov →
anubis13–10-0.0219%1 Nov →
nuke1–13-0.0913%31 Oct →
cache4–13-0.0616%31 Oct →
nuke11–13-0.013%29 Oct →
inferno8–13-0.0510%27 Oct →
cache13–80.1013%27 Oct →
inferno13–90.0412%27 Oct →
mirage1–13-0.0113%26 Oct →
inferno10–13-0.0218%26 Oct →
anubis9–130.0429%26 Oct →
nuke6–13-0.0316%25 Oct →
dust26–13-0.0317%23 Oct →
ancient19–150.0219%22 Oct →
nuke13–16-0.0013%21 Oct →
ancient4–130.0115%20 Oct →
cache10–13-0.0222%20 Oct →
nuke13–100.0316%19 Oct →
mirage5–130.0320%18 Oct →
nuke13–30.0418%18 Oct →
cache13–10-0.0619%16 Oct →
anubis13–7-0.0120%15 Oct →
cache22–20-0.0215%15 Oct →
anubis3–13-0.0920%14 Oct →
inferno13–60.0413%14 Oct →
nuke1–13-0.0128%14 Oct →
vertigo0–13-0.087%13 Oct →
ancient10–13-0.0612%13 Oct →
cache8–130.0124%13 Oct →
anubis13–9-0.0210%12 Oct →
mirage10–130.0115%12 Oct →
nuke13–9-0.0312%11 Oct →
mirage13–80.0617%9 Oct →
nuke0–9-0.2521%5 Oct →
anubis13–30.0511%29 Sept →
anubis11–130.0520%26 Aug →
nuke5–70.0558%25 Aug →
nuke13–70.1131%25 Aug →
nuke13–8-0.0031%25 Aug →
inferno9–10.0727%24 Aug →
cache13–00.1823%24 Aug →
cache13–20.1345%20 Aug →
mirage13–00.2027%19 Aug →
ancient13–10.1227%19 Aug →
cache14–160.1537%18 Aug →
dust213–60.1232%18 Aug →
anubis13–60.1044%18 Aug →
anubis13–70.1644%18 Aug →
inferno13–30.0632%17 Aug →
inferno11–130.0832%17 Aug →
nuke6–130.1131%17 Aug →
mirage5–130.1259%17 Aug →
cache13–90.1730%16 Aug →
mirage5–130.0728%11 Aug →
anubis13–30.0632%11 Aug →
overpass13–20.1833%11 Aug →
cache13–20.0930%11 Aug →
mirage13–30.1324%11 Aug →
nuke12–160.2734%11 Aug →
mirage11–20.0330%10 Aug →
inferno13–100.0124%10 Aug →
vertigo9–30.1936%10 Aug →
nuke13–0-0.0540%9 Aug →
cache14–16-0.0126%6 Aug →
mirage9–13-0.0514%1 Jul →
dust213–9-0.0850%4 Apr →
mirage14–16-0.0323%19 Mar →
inferno3–13-0.0013%15 Mar →
dust29–13-0.0328%15 Mar →
inferno13–30.0338%15 Mar →
dust211–13-0.0512%14 Mar →
nuke12–160.0211%12 Mar →
dust24–13-0.0517%12 Mar →
ancient16–12-0.0118%12 Mar →
mirage1–13-0.0311%12 Mar →
overpass11–13-0.0115%11 Mar →
mirage13–110.0517%10 Mar →
dust213–6-0.0024%10 Mar →
nuke13–40.0327%10 Mar →
inferno10–130.0118%9 Mar →
overpass15–15-0.0512%9 Mar →
anubis7–13-0.0018%7 Mar →
inferno5–130.0422%7 Mar →
mirage13–110.0116%7 Mar →
nuke0–13-0.0464%7 Mar →
dust23–130.0630%7 Mar →
ancient16–14-0.0912%6 Mar →
anubis13–10-0.0228%6 Mar →
inferno7–130.0218%5 Mar →
inferno13–80.0119%4 Mar →
mirage13–90.1023%4 Mar →
nuke6–0-0.0121%4 Mar →
dust29–130.0321%3 Mar →
mirage6–13-0.0432%3 Mar →
inferno5–130.0127%28 Feb →
inferno5–9-0.1018%28 Feb →
mirage11–13-0.0318%28 Feb →
ancient13–3-0.0219%28 Feb →

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.