Kikki

Kikki — CS2 Stats

FI76561198101554236[U:1:141288508]Steam profile ↗✓ No bans

1,856Tracked matches48%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating22,153Top 50% of 204,412 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#52273 of 251476 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 22,153 +2,455 24 Apr – 13 Oct · 22 days played
18,45922,153peak 22,15324 Apr13 Oct
22,153Peak Premier in tracked matches
69Days played since 2026-04-24

Premier CS Rating

  • At peak — 22,153
  • +2,153 over 90 days
  • Next: Red band at 25,000 — 2,847 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.GGKikkiFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,153 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning64
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWLWWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.0pp headshot accuracy · +23ms reaction

Win rate +10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

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 against its own average).

Aim7.4
Utility5.9
Positioning6.4
Opening Duels3.9

Strong CT-side opener

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.4
Positioning6.4
Utility5.9
Mechanics5.4
Opening Duels4.2
Win Impact4.4

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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time555ms−61ms
first ⅓ avg 617ms → last ⅓ avg 555ms
Headshot accuracy18.2%+0.6%
first ⅓ avg 17.5% → last ⅓ avg 18.2%

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

0.38Best match rating · 9–0 · inferno, 25 Jun →
37%Best headshot accuracy · 13–1 · ancient, 15 Aug →
438msFastest reaction time · 5–13 · inferno, 2 Sept →
13–1Biggest win · ancient, 15 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 50% over 12infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
cacheB2512–1348%0.01
mirageC188–1044%0.01
dust2C167–944%0.02
anubisB126–650%-0.01
infernoC104–640%0.08
ancientB84–450%0.00
train—40–40%0.02
nuke—31–233%0.02
overpass—21–150%0.03
vertigo—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

235Matches
52%Win rate
1.10Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1553%1.3418.0
Inferno1450%1.3516.8
Vertigo757%1.3518.7
Ancient757%1.1217.6
Overpass771%1.0014.0
Mirage757%1.0817.0
Nuke786%1.4624.0
Rio de Janeiro10%0.294.0

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.

17.4%Headshot accuracy
36.0%Accuracy (enemy spotted)
41.2%Spray accuracy
74.5%Counter-strafing
9.5°Preaim
548msReaction time
39.1%T opening success
54.3%CT opening success
0.51Enemies flashed / flash
5.9%Flash assists
10.32HE damage / grenade
10.15Flashes / 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 39.0728% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0114%13 Oct →
inferno13–110.0416%12 Oct →
train5–13-0.0317%11 Oct →
anubis13–11-0.0213%10 Oct →
inferno13–100.0318%10 Oct →
inferno10–130.0917%9 Oct →
mirage7–13-0.0321%9 Oct →
ancient13–20.0711%8 Oct →
anubis10–3-0.0016%7 Oct →
anubis5–130.0321%3 Oct →
dust213–100.0415%3 Oct →
dust27–13-0.0515%2 Oct →
cache13–80.0524%1 Oct →
mirage6–130.0121%1 Oct →
ancient5–13-0.0613%29 Sept →
train7–130.0122%24 Sept →
dust27–13-0.0513%23 Sept →
anubis13–5-0.0221%19 Sept →
mirage13–30.0520%19 Sept →
ancient13–11-0.0320%18 Sept →
inferno12–120.099%18 Sept →
cache7–130.0320%18 Sept →
overpass12–120.0613%18 Sept →
nuke8–130.0220%18 Sept →
mirage9–13-0.0615%18 Sept →
anubis12–120.0020%17 Sept →
dust213–40.0522%6 Sept →
inferno5–130.0821%2 Sept →
mirage2–13-0.0827%2 Sept →
mirage13–70.0614%28 Aug →
dust213–7-0.0431%26 Aug →
cache3–80.0219%18 Aug →
dust27–130.0822%17 Aug →
ancient13–10.0737%15 Aug →
anubis5–130.0026%15 Aug →
mirage4–130.0416%15 Aug →
nuke11–13-0.0124%9 Aug →
dust213–160.0823%9 Aug →
mirage0–13-0.1033%9 Aug →
vertigo4–9-0.0120%5 Aug →
dust26–00.0827%5 Aug →
mirage13–100.0625%3 Aug →
cache13–70.0917%17 Jul →
dust213–40.1221%15 Jul →
ancient9–13-0.0116%4 Jul →
dust213–90.0119%3 Jul →
ancient10–13-0.0212%2 Jul →
anubis7–13-0.0720%1 Jul →
mirage13–60.0720%30 Jun →
anubis15–15-0.0115%29 Jun →
overpass13–80.0016%27 Jun →
cache9–130.0514%26 Jun →
cache13–70.0710%25 Jun →
inferno9–00.3830%25 Jun →
mirage13–70.0723%23 Jun →
mirage12–120.0016%22 Jun →
mirage13–110.1225%20 Jun →
train6–130.0528%19 Jun →
inferno13–50.0418%12 Jun →
mirage10–130.0219%12 Jun →
mirage2–13-0.079%11 Jun →
nuke13–30.048%10 Jun →
dust213–9-0.049%5 Jun →
dust28–130.0421%4 Jun →
ancient13–90.028%26 May →
anubis9–130.0015%25 May →
vertigo13–90.0316%24 May →
cache2–13-0.089%24 May →
cache13–20.0522%22 May →
cache13–7-0.0130%20 May →
train7–130.0516%18 May →
cache9–130.0318%18 May →
anubis13–10.0327%17 May →
cache13–20.1216%16 May →
inferno10–13-0.0018%16 May →
mirage13–100.0916%15 May →
inferno4–130.0213%14 May →
dust27–130.0422%14 May →
anubis13–9-0.0012%14 May →
cache8–130.0017%14 May →
cache8–13-0.0314%13 May →
mirage13–3-0.0315%13 May →
cache1–13-0.085%12 May →
cache13–4-0.0413%12 May →
cache8–13-0.0512%11 May →
dust212–120.0415%9 May →
cache7–13-0.0124%8 May →
cache13–3-0.0227%7 May →
cache8–13-0.0512%7 May →
cache13–20.1316%6 May →
cache13–10-0.0017%5 May →
cache13–60.1317%4 May →
cache5–13-0.0018%4 May →
cache13–40.0113%3 May →
cache8–13-0.0315%1 May →
inferno7–130.0319%25 Apr →
mirage4–130.0018%25 Apr →
dust23–130.0235%25 Apr →
ancient14–16-0.0214%24 Apr →
dust26–9-0.0824%24 Apr →

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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