kimbla

kimbla — CS2 Stats

FM76561198336673670[U:1:376407942]Steam profile ↗✓ No bans

2,040Tracked matches48%Win rate2020Tracked since
2,499Hours in CS20Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating22,411Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51880 of 261547 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 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: 22,411 +2,699 7 Aug – 5 Nov · 30 days played
19,71223,018peak 23,0187 Aug5 Nov
23,373Peak Premier in tracked matches
41Days played since 2026-08-03

Premier CS Rating

  • 607 below peak (23,018)
  • -388 over 30 days · steady
  • +2,699 over 90 days
  • Next: Red band at 25,000 — 2,589 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-04
  • Purple band first seen 2026-10-04

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate48.5%46.8%48.2%meets
Shot accuracy14.9%13.0%13.2%above
Kill/death ratio1.061.061.07meets
Match win rate50.3%46.3%46.9%above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGkimblaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,411 · Pink 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

Aim75
Positioning49
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLLTWWLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.3pp headshot accuracy · +77ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

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 (+1.7 against its own average).

Aim7.5
Utility5.4
Positioning4.9
Opening Duels0.7
Clutch3.8

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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 →

CSDB Rating breakdown

Aim7.5
Positioning4.9
Utility5.4
Mechanics6.1
Opening Duels2.5
Win Impact4.4

Composite 5.8/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time539ms−30ms
first ⅓ avg 569ms → last ⅓ avg 539ms
Headshot accuracy17.4%−0.4%
first ⅓ avg 17.7% → last ⅓ avg 17.4%

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

0.11Best match rating · 13–4 · ancient, 7 Oct →
39%Best headshot accuracy · 13–4 · dust2, 16 Sept →
391msFastest reaction time · 7–13 · ancient, 18 Sept →
13–1Biggest win · cache, 7 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 69% over 13anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%-0.01
anubisC166–1038%-0.02
dust2A149–564%0.00
ancientS139–469%0.01
nukeA138–562%-0.01
cacheB105–550%0.02
mirageB84–450%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,578Lifetime kills
1.06K/D · Top 50% of Level 8 players
3,306Matches
50.3%Match win rate · Top 25% of Level 8 players
48.5%Headshot % · Top 50% of Level 8 players
14.9%Shot accuracy · Top 50% of Level 8 players
8,410MVPs
1,551Hours (in match)
4,679Bombs planted
1,017Bombs defused

Most-used weapons

Lifetime map wins

7,358inferno
3,848nuke
3,795dust2
3,194vertigo
2,063train
545office
386cbble
192italy

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

Faceit stats

Combat

330Matches
55%Win rate
1.12Avg K/D
86.9ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2040%0.9917.6
Inferno1457%1.2117.6
Nuke1354%1.1916.1
Mirage1283%1.0616.8
Ancient1164%1.3117.4
Dust21040%1.0815.1
Vertigo862%1.2317.4
Cache4100%1.7220.0

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.

16.6%Headshot accuracy
35.8%Accuracy (enemy spotted)
40.4%Spray accuracy
77.6%Counter-strafing
9.7°Preaim
530msReaction time
45.2%T opening success
35.1%CT opening success
0.47Enemies flashed / flash
4.1%Flash assists
9.01HE damage / grenade
10.71Flashes / 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 0.473 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 35.0842% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–30.0121%14 Nov →
anubis2–130.0118%12 Nov →
anubis10–13-0.0525%5 Nov →
anubis15–15-0.0617%5 Nov →
dust213–90.0222%5 Nov →
inferno13–5-0.0218%1 Nov →
inferno3–13-0.0216%28 Oct →
ancient16–140.0520%27 Oct →
ancient9–13-0.0913%25 Oct →
anubis8–13-0.0415%15 Oct →
inferno6–13-0.0523%8 Oct →
inferno11–13-0.0218%8 Oct →
anubis14–160.0010%7 Oct →
ancient13–40.1116%7 Oct →
ancient4–13-0.0116%6 Oct →
cache13–50.0316%4 Oct →
anubis28–260.0211%3 Oct →
inferno2–13-0.1024%1 Oct →
dust24–13-0.0318%30 Sept →
inferno13–60.0231%30 Sept →
cache13–7-0.0314%30 Sept →
inferno13–100.0228%24 Sept →
nuke13–9-0.0111%24 Sept →
dust213–100.0415%23 Sept →
inferno13–90.0713%23 Sept →
anubis2–13-0.0717%23 Sept →
mirage13–70.0511%23 Sept →
mirage11–13-0.0718%23 Sept →
cache11–13-0.0510%23 Sept →
inferno3–13-0.1111%23 Sept →
dust22–13-0.0126%23 Sept →
inferno10–130.0316%22 Sept →
ancient13–110.0419%22 Sept →
inferno4–13-0.076%22 Sept →
mirage3–6-0.0115%22 Sept →
anubis12–12-0.0311%22 Sept →
anubis13–80.0213%22 Sept →
ancient13–9-0.0123%22 Sept →
anubis13–50.0522%21 Sept →
inferno13–7-0.0126%21 Sept →
nuke10–13-0.057%21 Sept →
anubis13–5-0.040%20 Sept →
dust23–13-0.0223%20 Sept →
nuke13–30.0211%19 Sept →
cache7–13-0.0428%19 Sept →
ancient7–13-0.008%19 Sept →
dust23–13-0.0818%19 Sept →
ancient7–13-0.0311%18 Sept →
inferno7–130.0417%18 Sept →
nuke13–60.0210%18 Sept →
inferno5–13-0.0224%18 Sept →
ancient13–40.0114%18 Sept →
cache6–130.0121%18 Sept →
inferno13–10-0.0118%18 Sept →
nuke13–9-0.0423%17 Sept →
inferno13–20.0319%17 Sept →
inferno13–7-0.0221%17 Sept →
ancient13–9-0.0311%16 Sept →
dust213–40.0139%16 Sept →
inferno15–150.0418%13 Sept →
mirage13–6-0.0133%13 Sept →
inferno6–13-0.0127%13 Sept →
nuke13–100.0616%10 Sept →
dust213–30.0028%10 Sept →
nuke4–13-0.0522%10 Sept →
cache7–130.0619%7 Sept →
dust213–60.0319%7 Sept →
mirage13–8-0.0029%5 Sept →
dust213–80.0329%4 Sept →
inferno13–50.0820%4 Sept →
anubis11–13-0.0410%2 Sept →
inferno13–80.0311%1 Sept →
nuke13–100.045%30 Aug →
anubis1–13-0.029%30 Aug →
inferno9–13-0.0815%23 Aug →
nuke6–13-0.0211%23 Aug →
inferno11–13-0.0423%16 Aug →
anubis7–13-0.0621%16 Aug →
mirage13–10-0.0129%15 Aug →
cache13–90.0025%15 Aug →
dust213–30.0117%15 Aug →
inferno11–13-0.0324%15 Aug →
anubis13–110.0218%14 Aug →
dust28–13-0.0321%14 Aug →
mirage8–13-0.0224%14 Aug →
nuke10–13-0.0510%14 Aug →
ancient13–9-0.0116%14 Aug →
cache8–130.0728%14 Aug →
nuke16–120.0419%11 Aug →
cache13–110.0417%10 Aug →
anubis13–80.0214%10 Aug →
inferno13–20.0414%10 Aug →
ancient16–13-0.0118%7 Aug →
nuke13–80.0615%7 Aug →
cache13–10.0615%7 Aug →
inferno13–11-0.0315%7 Aug →
nuke2–13-0.1114%7 Aug →
mirage13–160.0022%4 Aug →
dust213–60.0414%4 Aug →
ancient13–50.0715%3 Aug →

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.