Kimble._

Kimble._ — CS2 Stats

FI76561198071512102[U:1:111246374]Steam profile ↗✓ No bans

3,098Tracked matches46%Win rate2021Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating21,523Top 50% of 204,412 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#60684 of 251622 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 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.

Rating over time

Premier CS Rating: 21,523 +1,899 27 Aug – 7 Oct · 12 days played
19,40521,523peak 21,52327 Aug7 Oct
21,523Peak Premier in tracked matches
1,804Highest Faceit ELO seen on CSDB
23Days played since 2026-08-13

Faceit ELO

  • At peak — 1,804
  • Next: Level 10 at 2,001 — 197 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • At peak — 21,523
  • +1,892 over 30 days · improving
  • Next: Red band at 25,000 — 3,477 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGKimble._PREMIER21,523 · Pink bandPEAK ELO1,804csdb.gg/stats

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Performance scores

Aim82
Positioning47
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLLWWTWLLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +4.1pp headshot accuracy · +2ms 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 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 517ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 528ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 527ms

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 (+2.9 against its own average).

Aim8.2
Utility5.8
Positioning4.7
Opening Duels1.0
Clutch0.2

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 90% playstyle similarity

Most alike: aim profile, positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim8.2
Positioning4.7
Utility5.8
Mechanics8.2
Opening Duels1.6
Win Impact3.8

Composite 6.2/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time549ms+7ms
first ⅓ avg 542ms → last ⅓ avg 549ms
Headshot accuracy13.8%−0.8%
first ⅓ avg 14.6% → last ⅓ avg 13.8%

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

0.23Best match rating · 9–3 · debris, 13 Aug →
50%Best headshot accuracy · 0–3 · mirage, 8 Sept →
391msFastest reaction time · 13–4 · ancient, 10 Sept →
13–1Biggest win · ancient, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD227–1532%-0.00
cacheC135–838%-0.02
anubisS107–370%0.01
ancientA106–460%0.01
mirageD93–633%0.02
nukeB84–450%-0.00
dust2D61–517%-0.01
office—40–40%0.03
train—30–30%0.01
vertigo—32–167%0.02
poseidon—31–233%-0.06
overpass—21–150%0.00
debris—21–150%0.12
rush_001—10–10%-0.09
boulder—10–10%-0.10
fachwerk—11–0100%0.02
shelter—11–0100%0.04
eldorado—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

275Matches
55%Win rate
0.95Avg K/D
76.5ADR
34%Headshot %

Clutches & streaks

21%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1050%1.0315.0
Nuke875%1.3016.4
Ancient650%0.7110.8
Mirage475%0.9313.0
Train367%1.0316.3
Overpass250%2.5418.0
Anubis2100%1.4614.5
Cache10%0.9518.0

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.

13.1%Headshot accuracy
40.6%Accuracy (enemy spotted)
42.0%Spray accuracy
87.0%Counter-strafing
10.3°Preaim
542msReaction time
38.7%T opening success
34.2%CT opening success
0.63Enemies flashed / flash
7.5%Flash assists
6.27HE damage / grenade
13.91Flashes / 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 13.1445% — below the 15% mark we flag

    Aim Training →
  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 38.708% — 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.

17% win rate across 6 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
train11–13-0.0421%8 Oct →
train9–130.115%7 Oct →
nuke13–40.0016%7 Oct →
anubis13–40.0114%7 Oct →
inferno12–120.0517%1 Oct →
anubis5–00.058%1 Oct →
cache8–13-0.087%1 Oct →
rush_0017–8-0.0933%1 Oct →
cache13–11-0.0514%25 Sept →
mirage10–130.0720%25 Sept →
inferno13–60.1314%25 Sept →
anubis13–10-0.0311%25 Sept →
ancient13–1-0.0010%18 Sept →
inferno13–6-0.0215%18 Sept →
cache13–16-0.0115%18 Sept →
dust29–13-0.0410%18 Sept →
cache3–13-0.0514%14 Sept →
ancient8–13-0.089%14 Sept →
nuke10–13-0.0612%14 Sept →
inferno7–13-0.057%14 Sept →
mirage14–160.0913%12 Sept →
inferno1–13-0.058%12 Sept →
ancient13–100.0812%12 Sept →
anubis7–20.0615%12 Sept →
office11–130.0314%11 Sept →
dust26–13-0.0321%10 Sept →
train12–12-0.0411%10 Sept →
ancient13–80.0212%10 Sept →
ancient10–13-0.0120%10 Sept →
cache13–80.0012%10 Sept →
mirage13–10-0.0211%10 Sept →
cache5–13-0.0113%10 Sept →
inferno13–50.0620%10 Sept →
ancient13–60.1130%10 Sept →
anubis13–9-0.0118%10 Sept →
ancient13–40.0532%10 Sept →
nuke13–70.0418%9 Sept →
cache11–13-0.0210%9 Sept →
overpass13–110.0413%9 Sept →
ancient4–13-0.0915%9 Sept →
anubis13–6-0.0418%9 Sept →
mirage6–130.0313%9 Sept →
inferno1–80.0117%9 Sept →
inferno10–13-0.0121%9 Sept →
mirage0–3-0.0250%8 Sept →
boulder0–13-0.108%8 Sept →
vertigo13–40.0725%8 Sept →
fachwerk13–100.0221%8 Sept →
office2–130.1124%8 Sept →
shelter13–70.0417%8 Sept →
debris8–80.0110%7 Sept →
nuke6–9-0.0814%7 Sept →
office12–12-0.0713%7 Sept →
inferno11–13-0.0717%7 Sept →
cache13–70.057%7 Sept →
mirage13–50.0423%7 Sept →
inferno11–13-0.0017%7 Sept →
anubis10–130.086%7 Sept →
inferno13–90.0520%4 Sept →
mirage10–13-0.0413%4 Sept →
inferno3–10-0.066%3 Sept →
dust213–40.0415%3 Sept →
dust26–13-0.0314%3 Sept →
anubis11–13-0.0414%3 Sept →
ancient5–130.069%29 Aug →
vertigo2–13-0.0813%29 Aug →
dust25–13-0.038%29 Aug →
nuke10–13-0.0319%27 Aug →
inferno13–80.0411%27 Aug →
ancient13–10-0.0222%27 Aug →
inferno8–13-0.0410%26 Aug →
inferno16–13-0.0313%24 Aug →
mirage13–70.007%24 Aug →
cache13–7-0.0615%24 Aug →
inferno0–6-0.100%24 Aug →
nuke9–13-0.0118%22 Aug →
cache16–130.0413%22 Aug →
inferno7–10.0416%22 Aug →
dust25–130.0314%22 Aug →
cache6–13-0.0410%22 Aug →
inferno4–13-0.0113%22 Aug →
anubis7–00.0925%22 Aug →
inferno15–150.0313%21 Aug →
inferno4–13-0.0515%21 Aug →
cache5–13-0.0116%21 Aug →
cache9–130.0312%20 Aug →
poseidon3–9-0.0614%18 Aug →
nuke13–70.0514%18 Aug →
mirage7–130.0414%18 Aug →
poseidon9–50.0914%13 Aug →
overpass3–9-0.0410%13 Aug →
eldorado8–80.0320%13 Aug →
vertigo9–70.0723%13 Aug →
inferno8–80.0320%13 Aug →
debris9–30.2326%13 Aug →
poseidon0–9-0.210%13 Aug →
nuke9–70.0718%13 Aug →
anubis9–13-0.0712%13 Aug →
inferno5–100.0118%13 Aug →
office5–130.0620%13 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 →

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