Kiesha Phillips — CS2 Stats

76561198044223066[U:1:83957338]

752Tracked matches34%Win rate2022Tracked since
CSDB Rating4.7 Developing
Premier CS Rating15,184Purple band · top ~27.7% of ranked players (population est.)
CSDB Leaderboard#9566 of 14934 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKiesha PhillipsFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,184 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning46
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateLWLWLLWLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.9
Aggression4.9
Utility6.3
Positioning4.6
Opening Duels1.4
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Reaction time. 629ms 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

Aim5.9
Positioning4.6
Utility6.3
Mechanics6.1
Opening Duels1.4
Win Impact0.0

Composite 4.7/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time623ms−19ms
first ⅓ avg 642ms → last ⅓ avg 623ms
Headshot accuracy13.4%+3.4%
first ⅓ avg 10.0% → last ⅓ avg 13.4%

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.

Highlights

0.13Best rating — debris 9–7
130Biggest win — dust2
6Longest win streak
54In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 75% over 12dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB179853%0.02
dust2C1661038%0.02
nukeB147750%0.01
mirageB136746%0.00
ancientB126650%0.02
anubisS129375%0.02
cache41325%-0.01
overpass41325%0.06
train31233%-0.01
vertigo21150%0.03
office21150%0.01
debris110100%0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

106Matches
56%Win rate
0.90Avg K/D
89.3ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust23100%1.1718.7
Inferno250%1.7312.0

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
35.3%Accuracy (enemy spotted)
39.6%Spray accuracy
77.4%Counter-strafing
10.1°Preaim
629msReaction time
30.7%T opening success
40.7%CT opening success
0.65Enemies flashed / flash
7.4%Flash assists
12.54HE damage / grenade
9.47Flashes / 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 13.0521% — 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 30.6672% — 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.

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0316%27 Aug
mirage13–10-0.018%22 Aug
inferno8–13-0.039%22 Aug
dust213–70.0711%20 Aug
nuke7–13-0.0119%20 Aug
ancient7–130.0611%16 Aug
ancient13–70.028%15 Aug
dust25–13-0.0520%15 Aug
ancient5–130.0210%13 Aug
dust213–80.1313%13 Aug
train13–100.0317%13 Aug
train12–120.009%12 Aug
inferno5–130.0118%8 Aug
mirage8–13-0.0523%8 Aug
nuke3–13-0.086%8 Aug
nuke13–80.0713%6 Aug
mirage14–160.0312%5 Aug
dust213–00.0220%2 Aug
vertigo13–70.0523%2 Aug
vertigo1–130.0115%2 Aug
dust210–130.098%31 Jul
dust213–9-0.0710%25 Jul
dust210–13-0.018%25 Jul
cache10–13-0.045%25 Jul
inferno5–13-0.048%22 Jul
nuke16–13-0.0011%21 Jul
dust22–13-0.0635%21 Jul
cache4–13-0.0221%20 Jul
inferno5–13-0.099%20 Jul
cache2–13-0.019%20 Jul
inferno13–100.0516%18 Jul
ancient3–13-0.088%18 Jul
nuke4–13-0.0014%18 Jul
nuke11–13-0.057%18 Jul
ancient2–13-0.0216%17 Jul
ancient13–11-0.059%17 Jul
anubis13–10-0.018%16 Jul
debris9–70.139%15 Jul
inferno13–30.004%14 Jul
nuke13–90.0110%14 Jul
anubis13–60.0616%13 Jul
dust26–130.049%13 Jul
ancient13–50.033%12 Jul
inferno13–60.0320%12 Jul
office9–13-0.0511%12 Jul
office13–40.0710%11 Jul
anubis13–90.0110%10 Jul
nuke13–100.0813%4 Jul
ancient13–60.0921%4 Jul
anubis16–140.047%28 Jun
mirage13–16-0.036%28 Jun
overpass14–160.058%28 Jun
ancient6–130.065%26 Jun
inferno6–130.0410%26 Jun
dust27–130.0410%25 Jun
dust210–130.0411%25 Jun
ancient6–130.046%25 Jun
inferno8–130.0117%24 Jun
inferno13–80.038%22 Jun
overpass8–130.0914%22 Jun
mirage8–13-0.049%22 Jun
anubis13–100.0711%21 Jun
cache13–60.048%20 Jun
train12–12-0.078%17 Jun
mirage15–150.0214%12 Jun
nuke9–130.0013%10 Jun
inferno13–30.1110%10 Jun
dust216–130.0122%10 Jun
anubis13–50.0418%8 Jun
nuke13–50.0517%7 Jun
anubis15–15-0.017%7 Jun
dust210–130.0510%7 Jun
overpass13–8-0.016%6 Jun
mirage7–130.0416%6 Jun
nuke13–100.0512%6 Jun
anubis13–30.099%5 Jun
dust21–13-0.0114%5 Jun
inferno13–110.0412%5 Jun
mirage13–8-0.007%5 Jun
dust216–12-0.0313%4 Jun
ancient13–40.0210%4 Jun
anubis13–4-0.039%2 Jun
nuke14–160.035%30 May
dust213–160.0211%30 May
inferno13–110.0110%30 May
overpass9–130.129%30 May
mirage13–3-0.0114%30 May
nuke13–100.047%30 May
ancient13–100.0713%28 May
inferno13–10.065%28 May
mirage13–10.057%28 May
inferno8–130.079%27 May
mirage10–13-0.019%27 May
anubis13–90.055%27 May
mirage13–90.036%25 May
anubis4–13-0.027%25 May
inferno13–7-0.0212%25 May
mirage13–8-0.017%25 May
inferno15–150.047%25 May
anubis10–13-0.005%24 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →