Kiesha

Kiesha — CS2 Stats

76561199059306809[U:1:1099041081]Steam profile ↗✓ No bans

2,128Tracked matches47%Win rate2021Tracked since
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 7 · 1,448 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,448 → 1,448
+5Tracked matches · now 2,128
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

Premier CS Rating: 16,541 +282 25 Feb – 8 Apr · 18 days played
15,82018,254peak 18,25425 Feb8 Apr
18,583Peak Premier in tracked matches
1,448Highest Faceit ELO seen on CSDB
49Days played since 2026-02-25

Faceit ELO

  • At peak — 1,448
  • Next: Level 8 at 1,531 — 83 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-23
  • Level 6 first seen 2026-09-23

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.

Share this profile

CSDB.GGKieshaFACEITLevel 7 · 1,448 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,448csdb.gg/stats

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Performance scores

Aim81
Positioning36
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWLLWWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · −70ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 527ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 524ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 558ms

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 (+1.1 against its own average).

Aim8.1
Utility3.5
Positioning3.6
Opening Duels0.0
Clutch3.0

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

b1t

Plays most like b1t 84% 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

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

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

Reaction time. 574ms 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

Aim8.1
Positioning3.6
Utility3.5
Mechanics7.1
Opening Duels0.0
Win Impact3.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time569ms−57ms
first ⅓ avg 626ms → last ⅓ avg 569ms
Headshot accuracy28.0%+3.2%
first ⅓ avg 24.8% → last ⅓ avg 28.0%

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 · 13–3 · dust2, 27 Sept →
54%Best headshot accuracy · 13–7 · nuke, 19 Mar →
414msFastest reaction time · 1–13 · dust2, 19 Mar →
13–2Biggest win · anubis, 11 Mar →

Across the last 100 tracked matches.

Highlights

11Longest win streak
9–15In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 80% over 5cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%-0.01
nukeB2210–1245%-0.02
mirageC208–1240%-0.03
anubisB136–746%-0.00
cacheD72–529%-0.01
ancientS54–180%-0.04
inferno—30–30%-0.05
overpass—22–0100%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

1,173Matches
50%Win rate
0.86Avg K/D
67.4ADR
52%Headshot %

Clutches & streaks

35%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage28251%0.8713.7
Dust221748%0.8113.0
Nuke12354%0.8413.5
Anubis12057%0.8913.6
Ancient6644%0.7912.8
Vertigo4659%0.9114.2
Inferno3238%0.7711.7
Cache2454%0.8212.8

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.

28.3%Headshot accuracy
31.0%Accuracy (enemy spotted)
27.3%Spray accuracy
82.0%Counter-strafing
6.6°Preaim
574msReaction time
26.8%T opening success
26.7%CT opening success
0.59Enemies flashed / flash
4.9%Flash assists
5.48HE damage / grenade
6.06Flashes / 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 26.7651% — below the 40% mark we flag

Spend your practice time on Cache

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 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–30.1126%27 Sept →
cache10–130.0641%27 Sept →
anubis5–13-0.0121%7 Sept →
ancient13–10-0.0536%6 Sept →
nuke13–8-0.0525%3 Sept →
cache13–30.0124%3 Sept →
anubis12–16-0.0322%1 Sept →
dust213–8-0.0718%31 Aug →
dust212–16-0.0240%30 Aug →
dust213–9-0.0633%16 Aug →
anubis13–40.1019%15 Aug →
dust213–110.0021%15 Aug →
dust23–13-0.1033%13 Aug →
dust28–13-0.0226%10 Aug →
cache11–13-0.0329%16 Jul →
cache7–13-0.0624%15 Jul →
ancient13–10-0.0313%5 Jul →
cache10–13-0.0127%4 Jul →
anubis10–13-0.0221%4 Jul →
inferno5–13-0.0646%4 Jul →
anubis13–6-0.0314%27 May →
nuke14–16-0.0730%23 May →
nuke14–16-0.0730%21 May →
mirage9–13-0.0611%20 May →
nuke13–6-0.0741%20 May →
mirage11–13-0.0223%15 May →
dust213–9-0.0237%15 May →
cache13–7-0.0432%9 May →
dust29–13-0.0539%9 May →
mirage13–10-0.0141%7 May →
nuke11–13-0.0637%2 May →
mirage6–13-0.1014%25 Apr →
dust213–5-0.0627%25 Apr →
dust219–22-0.0521%24 Apr →
cache8–130.0321%24 Apr →
nuke11–130.0028%15 Apr →
nuke13–7-0.0728%15 Apr →
nuke4–13-0.0816%14 Apr →
mirage13–11-0.0431%12 Apr →
dust214–160.0136%11 Apr →
dust210–130.0340%8 Apr →
ancient5–130.0224%7 Apr →
nuke13–80.0227%5 Apr →
anubis13–10-0.0524%5 Apr →
mirage13–30.0413%5 Apr →
nuke13–11-0.0530%5 Apr →
mirage16–14-0.0633%3 Apr →
anubis11–13-0.0126%1 Apr →
dust216–140.0322%27 Mar →
mirage11–13-0.0113%27 Mar →
nuke13–50.0135%24 Mar →
dust25–13-0.0316%24 Mar →
mirage4–13-0.0726%24 Mar →
dust25–130.0823%20 Mar →
mirage11–130.0425%20 Mar →
nuke13–70.0854%19 Mar →
mirage14–160.0629%19 Mar →
nuke9–13-0.0042%19 Mar →
anubis10–130.0115%19 Mar →
nuke1–130.0138%19 Mar →
dust21–13-0.0526%19 Mar →
mirage14–160.0326%16 Mar →
dust215–150.0227%16 Mar →
inferno11–13-0.0523%16 Mar →
mirage13–3-0.0121%16 Mar →
dust213–7-0.0729%11 Mar →
dust213–11-0.0221%11 Mar →
anubis13–20.0318%11 Mar →
ancient13–8-0.0821%10 Mar →
nuke13–70.0635%10 Mar →
overpass13–40.0242%10 Mar →
mirage13–3-0.0314%10 Mar →
dust213–8-0.0127%10 Mar →
overpass13–11-0.0215%5 Mar →
dust213–40.0121%5 Mar →
nuke12–16-0.0029%5 Mar →
anubis9–130.0136%5 Mar →
dust213–20.0023%3 Mar →
mirage9–13-0.0339%3 Mar →
dust213–11-0.0122%3 Mar →
anubis6–13-0.0416%3 Mar →
inferno6–13-0.0418%3 Mar →
dust213–40.0230%2 Mar →
ancient13–10-0.0824%2 Mar →
dust211–130.0029%2 Mar →
nuke13–9-0.0832%2 Mar →
mirage13–8-0.0420%2 Mar →
nuke7–13-0.0422%1 Mar →
mirage10–13-0.0730%1 Mar →
nuke10–13-0.0633%1 Mar →
mirage10–13-0.036%28 Feb →
anubis13–100.0719%28 Feb →
mirage9–13-0.0825%28 Feb →
mirage16–14-0.0420%27 Feb →
nuke6–130.0133%27 Feb →
nuke13–8-0.0242%27 Feb →
dust213–8-0.0418%27 Feb →
nuke11–13-0.0319%26 Feb →
anubis13–8-0.0619%26 Feb →
dust213–90.0016%25 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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